diff --git a/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4 b/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4 deleted file mode 100644 index 5c867d96d40adfae8712dfae808488591cef585a..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:134e1466d75283194b26d973991617b43ab81248da0a620584ee189b30a197b1 -size 3369466 diff --git a/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4 b/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4 deleted file mode 100644 index c7305f097c4323213052295c20404d7d4b447801..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:07b80cbf9b4b177f1454ac4f07023d715c4aff13846d92db8197810a21e30fef -size 1223360 diff --git a/multicontrol_edgecompare_grid/_masks/sunny/background_mask.mp4 b/multicontrol_edgecompare_grid/_masks/sunny/background_mask.mp4 deleted file mode 100644 index b2b5035f6d2d61e994e7c6b42a05eaca67fc7384..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/_masks/sunny/background_mask.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:d9a960f90d662fd6f977275d796d8a1618338c1076b393d0c371558614b5f133 -size 379094 diff --git a/multicontrol_edgecompare_grid/sunny/Building/hybrid/config.yaml b/multicontrol_edgecompare_grid/sunny/Building/hybrid/config.yaml deleted file mode 100644 index c7ff57611ba01c0b08e8cf29d43165b05dbf7e53..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/Building/hybrid/config.yaml +++ /dev/null @@ -1,882 +0,0 @@ -checkpoint: - broadcast_via_filesystem: 'False' - dcp_async_mode_enabled: 'False' - enable_gcs_patch_in_boto3: 'False' - jit: - device: cuda - dtype: bfloat16 - enabled: 'False' - input_shape: null - strict: 'True' - keys_not_to_resume: [] - keys_to_skip_loading: [] - load_ema_to_reg: 'False' - load_from_object_store: - bucket: bucket - credentials: credentials/s3_checkpoint.secret - enabled: 'True' - load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 - load_training_state: 'False' - only_load_scheduler_state: 'False' - save_iter: '1000' - save_to_object_store: - bucket: bucket - credentials: credentials/s3_checkpoint.secret - enabled: 'True' - strict_resume: 'False' - type: - _target_: - callbacks: null - disable_async: 'False' - verbose: 'True' -dataloader_train: - dataloaders: - image_data: - ratio: '0' - video_data: - dataloader: - batch_size: '1' - cache_augment_fn: functools.partial(, n=1.8) - cache_size: '32' - concat_size: '1' - dataset: - augmentor_name: video_basic_augmentor_v2_with_control_and_image_context - caption_type: t2w_qwen2p5_7b - control_input_type: edge - dataset_resolution_type: gt720p - embedding_type: null - max_fps_thres: '60' - min_fps_thres: '10' - num_video_frames: '93' - resolution: '720' - use_native_fps: 'True' - video_decoder_name: video_naive_bytes - num_workers: '4' - use_cache: 'False' - ratio: '1' - video_data_1: - dataloader: - batch_size: '6' - cache_augment_fn: functools.partial(, n=1.8) - cache_size: '32' - concat_size: '1' - dataset: - augmentor_name: video_basic_augmentor_v2_with_control_and_image_context - caption_type: t2w_qwen2p5_7b - control_input_type: edge - dataset_resolution_type: gt720p - embedding_type: null - num_video_frames: '1' - resolution: '720' - use_native_fps: 'True' - video_decoder_name: video_naive_bytes - num_workers: '4' - use_cache: 'False' - ratio: '1' - dataset: - augmentor_name: video_basic_augmentor_v2_with_control - caption_type: t2w_qwen2p5_7b - control_input_type: edge - dataset_resolution_type: gt720p - embedding_type: null - max_fps_thres: '60' - min_fps_thres: '10' - num_video_frames: '93' - resolution: '720' - use_native_fps: 'True' - video_decoder_name: video_naive_bytes - num_workers: '4' -dataloader_val: - _target_: - dataloaders: - image_data: - dataloader: - _target_: - batch_size: '2' - cache_augment_fn: null - cache_replay_name: image_dataloader - cache_size: '32' - concat_size: '1' - dataset: - _target_: - len_t5: '512' - resolution: '512' - t5_dim: '1024' - num_workers: '8' - pin_memory: 'True' - shuffle: 'False' - use_cache: 'False' - webdataset: 'False' - ratio: '1' - video_data: - dataloader: - _target_: - batch_size: '1' - cache_augment_fn: null - cache_replay_name: video_dataloader - cache_size: '32' - concat_size: '1' - dataset: - _target_: - len_t5: '512' - num_video_frames: '136' - resolution: '512' - t5_dim: '1024' - num_workers: '8' - pin_memory: 'True' - shuffle: 'False' - use_cache: 'False' - webdataset: 'False' - ratio: '1' -defaults: -- _self_ -- data_train: mock -- data_val: mock -- optimizer: fusedadamw -- scheduler: lambdalinear -- model: ddp -- callbacks: basic -- net: null -- conditioner: video_prediction_control_conditioner -- ema: power -- tokenizer: wan2pt1_tokenizer -- checkpoint: s3 -- ckpt_type: dummy -- experiment: null -job: - cluster: null - group: vid2vid_2B_control - name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data - project: cosmos_transfer2 - wandb_mode: online -model: - _recursive_: 'False' - _target_: - config: - base_load_from: null - conditional_frame_timestep: -1.0 - conditional_frames_probs: - 0: 0.4 - 1: 0.4 - 2: 0.2 - conditioner: - _target_: - control_input_depth: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_depth - output_key: control_input_depth - control_input_depth_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_depth_mask - output_key: control_input_depth_mask - control_input_edge: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_edge - output_key: control_input_edge - control_input_edge_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_edge_mask - output_key: control_input_edge_mask - control_input_inpaint: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_inpaint - output_key: control_input_inpaint - control_input_inpaint_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_inpaint_mask - output_key: control_input_inpaint_mask - control_input_seg: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_seg - output_key: control_input_seg - control_input_seg_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_seg_mask - output_key: control_input_seg_mask - control_input_vis: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_vis - output_key: control_input_vis - control_input_vis_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_vis_mask - output_key: control_input_vis_mask - fps: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: fps - output_key: fps - padding_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: padding_mask - output_key: padding_mask - reference_image_context: - _target_: - dropout_rate: '0.5' - input_key: - - images - - video - - image_context - num_token: '256' - output_key: null - text: - _target_: - credential_path: credentials/s3_training.secret - dropout_rate: '0.2' - empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt - input_key: - - t5_text_embeddings - use_empty_string: 'False' - use_video_condition: - _target_: - dropout_rate: '0.0' - input_key: fps - output_key: use_video_condition - conditioning_strategy: frame_replace - copy_weight_strategy: first_n - denoise_replace_gt_frames: true - ema: - enabled: false - iteration_shift: 0 - rate: 0.1 - fsdp_shard_size: 1 - high_sigma_ratio: 0.05 - high_sigma_timesteps_max: 1000 - high_sigma_timesteps_min: 980 - hint_keys: edge - init_lora_weights: true - input_caption_key: ai_caption - input_data_key: video - input_image_key: images - lora_alpha: 32 - lora_rank: 32 - lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2 - max_num_conditional_frames: 2 - min_num_conditional_frames: 0 - net: - _target_: - adaln_lora_dim: '256' - atten_backend: minimal_a2a - concat_padding_mask: 'True' - condition_strategy: spaced - crossattn_emb_channels: '1024' - crossattn_proj_in_channels: '100352' - extra_image_context_dim: '1152' - extra_per_block_abs_pos_emb: 'False' - img_context_deep_proj: 'False' - in_channels: '16' - max_frames: '128' - max_img_h: '240' - max_img_w: '240' - mlp_ratio: '4.0' - model_channels: '2048' - num_blocks: '28' - num_control_branches: '1' - num_heads: '16' - num_max_modalities: '8' - out_channels: '16' - patch_spatial: '2' - patch_temporal: '1' - pos_emb_cls: rope3d - pos_emb_interpolation: crop - pos_emb_learnable: 'True' - rope_enable_fps_modulation: 'False' - rope_h_extrapolation_ratio: '3.0' - rope_t_extrapolation_ratio: '1.0' - rope_w_extrapolation_ratio: '3.0' - sac_config: - every_n_blocks: 1 - mode: predict2_2b_720_aggressive - separate_embedders: 'False' - share_q_in_i2v_cross_attn: 'False' - spatial_compression_factor: '8' - timestep_scale: '0.001' - use_adaln_lora: 'True' - use_after_proj_for_multi_branch: 'True' - use_crossattn_projection: 'True' - use_cuda_graphs: 'False' - use_input_hint_block: 'False' - use_wan_fp32_strategy: 'True' - vace_block_every_n: '7' - vace_has_mask: 'False' - precision: bfloat16 - resolution: '720' - shift: 5 - state_ch: 16 - state_t: 24 - text_encoder_class: reason1p1_7B - text_encoder_config: - ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/ - compute_online: true - embedding_concat_strategy: full_concat - model_config: - _target_: - model_config: - _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig - activation_checkpoint: - mode: selective - models: vlm - selective_ac_option: op - add_answer_tag: 'True' - add_cross_attention: 'False' - add_image_start_end_tag: 'False' - add_tile_tag: 'False' - architectures: - - Qwen2_5_VLForConditionalGeneration - attention_dropout: '0.0' - attn_implementation: flash_attention_2 - attn_implementation_autoset: 'True' - aux_loss_coeff: '0.0' - bad_words_ids: null - begin_suppress_tokens: null - bos_token_id: '151643' - cache_dir: null - checkpoint: - async_mode: disabled - create_seed_checkpoint: false - enable_checkpoint: false - export_dtype: float32 - folder: checkpoint - interval: 500 - interval_type: steps - model_weights_only: false - chunk_size_feed_forward: '0' - ckpt_dir: null - ckpt_path: null - comm: - init_timeout_seconds: 300 - trace_buf_size: 20000 - train_timeout_seconds: 100 - cp_size: null - cross_attention_hidden_size: null - decoder_start_token_id: null - deterministic: 'False' - diversity_penalty: '0.0' - do_sample: 'False' - early_stopping: 'False' - encoder_no_repeat_ngram_size: '0' - eos_token_id: '151645' - ep_size: null - experimental: - enable_async_tensor_parallel: false - enable_compiled_autograd: false - pipeline_parallel_degree: 1 - exponential_decay_length_penalty: null - finetuning_task: null - float8: - enable_float8_linear: false - forced_bos_token_id: null - forced_eos_token_id: null - freeze_llm: 'False' - freeze_mm_projector: 'False' - freeze_vision_encoder: 'False' - fsdp_enabled: 'False' - hidden_act: silu - hidden_size: '3584' - id2label: - 0: LABEL_0 - 1: LABEL_1 - image_token_id: '151655' - initializer_range: '0.02' - intermediate_size: '18944' - is_decoder: 'False' - is_encoder_decoder: 'False' - label2id: - LABEL_0: '0' - LABEL_1: '1' - length_penalty: '1.0' - loss_per_token: 'True' - max_batch_size: '1' - max_length: '20' - max_position_embeddings: '128000' - max_seq_len: '128000' - max_window_layers: '28' - min_length: '0' - mm_projector: null - model_type: qwen2_5_vl - name_or_path: Qwen/Qwen2.5-VL-7B-Instruct - no_repeat_ngram_size: '0' - num_attention_heads: '28' - num_beam_groups: '1' - num_beams: '1' - num_hidden_layers: '28' - num_key_value_heads: '4' - num_return_sequences: '1' - num_tiles: '1' - optimizer: - early_step_in_backward: false - end_lr: 2.5e-05 - fused: false - init_lr: 1.0e-05 - lr: 0.0003 - lr_multiplier_llm: 1.0 - lr_multiplier_mm_projector: 1.0 - lr_multiplier_vision_encoder: 0.1 - name: AdamW - output_attentions: 'False' - output_hidden_states: 'True' - output_scores: 'False' - pad_token_id: null - precision: bfloat16 - prefix: null - prepend_padding: 'False' - problem_type: null - pruned_heads: _Nothing.NOTHING - remove_invalid_values: 'False' - repetition_penalty: '1.0' - return_dict: 'True' - return_dict_in_generate: 'False' - rms_norm_eps: 1e-06 - rope_scaling: - mrope_section: - - '16' - - '24' - - '24' - rope_type: default - type: default - rope_theta: '1000000.0' - s3_credential_path: credentials/pbss_dir.secret - seed: '0' - sep_token_id: null - sliding_window: '32768' - suppress_tokens: null - task_specific_params: null - temperature: '1.0' - tf_legacy_loss: 'False' - tie_encoder_decoder: 'False' - tie_word_embeddings: 'False' - tile_tag_type: space_separated - tokenizer_class: null - tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct - top_k: '50' - top_p: '1.0' - torch_dtype: bfloat16 - torchscript: 'False' - training: - compile: false - context_parallel_degree: 1 - data_parallel_replicate_degree: 1 - data_parallel_shard_degree: -1 - disable_loss_parallel: false - enable_cpu_offload: false - fsdp_reshard_after_forward: default - mixed_precision_param: bfloat16 - mixed_precision_reduce: float32 - steps: 400000 - tensor_parallel_degree: 1 - use_cosine_decay: false - use_linear_decay: true - warmup_steps: 1000 - training_seq_len: '4096' - transformers_version: 4.51.0.dev0 - typical_p: '1.0' - use_bfloat16: 'False' - use_cache: 'False' - use_fsdp2: 'True' - use_return_dict: 'True' - use_rope_from_torchtitan: 'False' - use_sliding_window: 'False' - video_token_id: '151656' - vision_config: - _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig - add_cross_attention: 'False' - architectures: null - attn_implementation: flash_attention_2 - attn_implementation_autoset: 'True' - bad_words_ids: null - begin_suppress_tokens: null - bos_token_id: null - chunk_size_feed_forward: '0' - cross_attention_hidden_size: null - decoder_start_token_id: null - depth: '32' - diversity_penalty: '0.0' - do_sample: 'False' - early_stopping: 'False' - embed_dim: null - encoder_no_repeat_ngram_size: '0' - eos_token_id: null - exponential_decay_length_penalty: null - finetuning_task: null - forced_bos_token_id: null - forced_eos_token_id: null - fullatt_block_indexes: - - '7' - - '15' - - '23' - - '31' - hidden_act: silu - hidden_size: '1280' - id2label: - 0: LABEL_0 - 1: LABEL_1 - in_channels: '3' - in_chans: '3' - intermediate_size: '3420' - is_decoder: 'False' - is_encoder_decoder: 'False' - label2id: - LABEL_0: '0' - LABEL_1: '1' - length_penalty: '1.0' - max_length: '20' - min_length: '0' - mlp_ratio: null - model_type: qwen2_5_vl - name_or_path: '' - no_repeat_ngram_size: '0' - num_beam_groups: '1' - num_beams: '1' - num_heads: '16' - num_return_sequences: '1' - out_hidden_size: '3584' - output_attentions: 'False' - output_hidden_states: 'False' - output_scores: 'False' - pad_token_id: null - patch_size: '14' - prefix: null - problem_type: null - pruned_heads: _Nothing.NOTHING - remove_invalid_values: 'False' - repetition_penalty: '1.0' - return_dict: 'True' - return_dict_in_generate: 'False' - sep_token_id: null - spatial_merge_size: '2' - spatial_patch_size: '14' - suppress_tokens: null - task_specific_params: null - temperature: '1.0' - temporal_patch_size: '2' - tf_legacy_loss: 'False' - tie_encoder_decoder: 'False' - tie_word_embeddings: 'True' - tokenizer_class: null - tokens_per_second: '2' - top_k: '50' - top_p: '1.0' - torch_dtype: bfloat16 - torchscript: 'False' - typical_p: '1.0' - use_bfloat16: 'False' - window_size: '112' - vision_encoder: openai/clip-vit-base-patch32 - vision_encoder_config: - depth_init: true - dim: 1024 - ffn_dim_multiplier: null - head_dim: null - hidden_act: null - hidden_dim: 4096 - image_size: 1024 - image_token_id: null - multiple_of: null - n_heads: 16 - n_kv_heads: null - n_layers: 24 - norm_eps: 1.0e-05 - norm_type: rmsnorm - num_channels: 3 - patch_size: 16 - proj_bias: null - qkv_bias: null - rope_theta: 10000.0 - use_cache: false - use_rope_from_torchtitan: false - vision_encoder_in_channels: '3' - vision_end_token_id: '151653' - vision_start_token_id: '151652' - vision_token_id: '151654' - vocab_size: '152064' - z_loss_coeff: '0.0' - tokenizer: - _target_: - cache_dir: null - tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct - n_layers_per_group: 5 - s3_credential_path: credentials/s3_checkpoint.secret - tokenizer: - _target_: - chunk_duration: '81' - load_mean_std: 'False' - name: wan2pt1_tokenizer - temporal_window: '16' - train_time_distribution: logitnormal - train_time_weight: uniform - use_dora: false - use_dynamic_shift: false - use_high_sigma_strategy: false - use_kerras_sigma_at_inference: false - use_lora: false - use_reference_image: true - use_torch_compile: false -model_parallel: - _cpu_offloading_context: null - async_tensor_model_parallel_allreduce: false - autocast_dtype: torch.float32 - barrier_with_L1_time: true - batch_p2p_comm: true - batch_p2p_sync: true - bf16: false - context_parallel_size: 8 - cpu_offloading: false - cpu_offloading_activations: true - cpu_offloading_double_buffering: false - cpu_offloading_num_layers: 0 - cpu_offloading_weights: true - cross_entropy_fusion_impl: native - cross_entropy_loss_fusion: false - deallocate_pipeline_outputs: false - defer_embedding_wgrad_compute: false - delay_wgrad_compute: false - deterministic_mode: false - enable_autocast: false - expert_model_parallel_size: 1 - expert_tensor_parallel_size: 1 - finalize_model_grads_func: null - fp16: false - grad_scale_func: null - grad_sync_func: null - gradient_accumulation_fusion: false - hierarchical_context_parallel_sizes: null - microbatch_group_size_per_vp_stage: 1 - moe_extended_tp: false - no_sync_func: null - num_microbatches_with_partial_activation_checkpoints: null - overlap_moe_expert_parallel_comm: false - overlap_p2p_comm: false - overlap_p2p_comm_warmup_flush: false - param_sync_func: null - params_dtype: torch.float32 - perform_initialization: true - pipeline_dtype: null - pipeline_model_parallel_comm_backend: null - pipeline_model_parallel_size: 1 - sequence_parallel: false - tensor_model_parallel_size: 1 - timers: null - tp_comm_atomic_ag: false - tp_comm_atomic_rs: false - tp_comm_bootstrap_backend: nccl - tp_comm_bulk_dgrad: true - tp_comm_bulk_wgrad: true - tp_comm_overlap: false - tp_comm_overlap_ag: true - tp_comm_overlap_disable_fc1: false - tp_comm_overlap_disable_qkv: false - tp_comm_overlap_rs: true - tp_comm_overlap_rs_dgrad: false - tp_comm_split_ag: true - tp_comm_split_rs: true - use_cpu_initialization: false - use_ring_exchange_p2p: false - use_te_rng_tracker: false - variable_seq_lengths: false - virtual_pipeline_model_parallel_size: null - wgrad_deferral_limit: 0 -optimizer: - _target_: - betas: - - '0.9' - - '0.999' - eps: 1e-08 - fused: 'True' - lr: '8.63e-05' - model: null - optim_type: adamw - weight_decay: '0.001' -scheduler: - _target_: - cycle_lengths: - - '100000' - f_max: - - '0.5' - f_min: - - '0.2' - f_start: - - 1e-06 - verbosity_interval: '0' - warm_up_steps: - - '100' -trainer: - callbacks: - compile_tokenizer: - _target_: - compile_after_iterations: '4' - dynamic: 'False' - enabled: 'True' - dataloader_speed: - _target_: - every_n: '200' - save_s3: 'True' - step_size: '1' - device_monitor: - _target_: - every_n: '200' - log_memory_detail: 'True' - save_s3: 'True' - step_size: '1' - upload_every_n_mul: '10' - every_n_sample_ema: - _target_: - every_n: '5000' - fix_batch_fp: null - fps: '16' - guidance: - - '0' - - '3' - - '7' - is_ema: 'True' - is_sample: 'True' - is_x0: 'False' - n_sample_to_save: '128' - n_viz_sample: '3' - n_x0_level: '4' - num_sampling_step: '35' - save_s3: 'True' - show_all_frames: 'False' - step_size: '1' - use_negative_prompt: 'False' - every_n_sample_reg: - _target_: - every_n: '5000' - fix_batch_fp: null - fps: '16' - guidance: - - '0' - - '3' - - '7' - is_ema: 'False' - is_sample: 'True' - is_x0: 'False' - n_sample_to_save: '128' - n_viz_sample: '3' - n_x0_level: '4' - num_sampling_step: '35' - save_s3: 'True' - show_all_frames: 'False' - step_size: '1' - use_negative_prompt: 'False' - frame_loss_log: - _target_: - logging_iter_multipler: '1' - save_logging_iter_multipler: '10' - save_s3: 'True' - grad_clip: - _target_: - clip_norm: '0.1' - force_finite: 'True' - heart_beat: - _target_: - every_n: '10' - save_s3: 'True' - step_size: '1' - update_interval_in_minute: '20' - iter_speed: - _target_: - every_n: '100' - hit_thres: '300' - save_s3: 'True' - save_s3_every_log_n: '10' - load_base_model: - _target_: - config: null - trainer: null - low_prec: - _target_: - config: null - trainer: null - update_iter: '1' - manual_gc: - _target_: - every_n: '200' - warm_up: '5' - wandb: - _target_: - logging_iter_multipler: '1' - save_logging_iter_multipler: '10' - save_s3: 'True' - wandb_10x: - _target_: - logging_iter_multipler: '10' - save_logging_iter_multipler: '1' - save_s3: 'True' - compile_config: - recompile_limit: '8' - use_duck_shape: 'True' - cudnn: - benchmark: 'True' - deterministic: 'False' - ddp: - broadcast_buffers: 'True' - find_unused_parameters: 'False' - static_graph: 'True' - distributed_parallelism: fsdp - grad_accum_iter: '1' - grad_scaler_args: - enabled: 'False' - logging_iter: '200' - max_iter: '100000' - max_val_iter: null - memory_format: torch.preserve_format - profiling: - enable_memory_snapshot: 'False' - enable_profiling: 'False' - profile_freq: '1' - profile_memory: 'False' - record_shape: 'False' - save_s3: 'False' - target_ranks: - - '0' - - '1' - - '2' - - '3' - - '4' - - '5' - - '6' - - '7' - with_modules: 'True' - with_stack: 'True' - run_validation: 'False' - run_validation_on_start: 'False' - seed: '0' - straggler_detection: - analyze_backward: 'True' - analyze_dataloading: 'True' - analyze_forward: 'True' - analyze_optimizer: 'True' - enabled: 'True' - max_diff: '1.5' - profile_freq: '1' - raise_error: 'True' - report_freq: '100' - timeout_period: '999999999' - type: - validation_iter: '100' -upload_reproducible_setup: 'True' diff --git a/multicontrol_edgecompare_grid/sunny/Building/hybrid/console.log b/multicontrol_edgecompare_grid/sunny/Building/hybrid/console.log deleted file mode 100644 index 26e45ed888b5c9e0006459c0f971ee0b60f1025d..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/Building/hybrid/console.log +++ /dev/null @@ -1,10 +0,0 @@ -[06-26 07:45:36|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples -[06-26 07:45:36|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/Building/hybrid/config.yaml -[06-26 07:45:36|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_hybrid'] -[06-26 07:45:36|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_hybrid -[06-26 07:45:36|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/Building/hybrid/sunny_Building_hybrid.json -[06-26 07:45:36|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled -[06-26 07:45:36|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4', 'edge_mask': None, 'edge_mask_prompt': None} -[06-26 07:55:42|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/Building/hybrid/sunny_Building_hybrid_control_edge.mp4 -[06-26 07:55:42|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled -[06-26 07:55:44|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/Building/hybrid/sunny_Building_hybrid.mp4 diff --git a/multicontrol_edgecompare_grid/sunny/Building/hybrid/debug.log b/multicontrol_edgecompare_grid/sunny/Building/hybrid/debug.log deleted file mode 100644 index 000ed9b3669e438a6858e26b4fa8995dcaa79ed7..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/Building/hybrid/debug.log +++ /dev/null @@ -1,969 +0,0 @@ -[06-26 07:40:59|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False) -[06-26 07:41:01|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser -[06-26 07:41:01|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser -[06-26 07:41:21|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:] for the back comptiable pytorch! New DefaultLoadPlanner class is created. -[06-26 07:41:22|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:] for the back comptiable pytorch! New DefaultLoadPlanner class is created. -[06-26 07:41:23|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/Building/hybrid') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer= enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge']) -[06-26 07:41:23|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1... -[06-26 07:41:23|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2... -[06-26 07:41:23|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor... -[06-26 07:41:23|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control... -[06-26 07:41:23|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control... -[06-26 07:41:23|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control... -[06-26 07:41:23|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context... -[06-26 07:41:23|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input... -[06-26 07:41:23|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets... -[06-26 07:41:23|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found. -[06-26 07:41:23|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9. -[06-26 07:41:23|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment -[06-26 07:41:23|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore -[06-26 07:41:23|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale -[06-26 07:41:23|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit -[06-26 07:41:23|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list -[06-26 07:41:23|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av -[06-26 07:41:23|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore -[06-26 07:41:23|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale -[06-26 07:41:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list -[06-26 07:41:24|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments -[06-26 07:41:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot -[06-26 07:41:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example -[06-26 07:41:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview -[06-26 07:41:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example -[06-26 07:41:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview -[06-26 07:41:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example -[06-26 07:41:24|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 -[06-26 07:41:24|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0. -[06-26 07:41:24|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 -[06-26 07:41:24|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16 -[06-26 07:41:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8) -[06-26 07:41:25|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth -[06-26 07:41:25|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 0.67 s -[06-26 07:45:24|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] -[06-26 07:45:24|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: - ReMapkey - input key: fps - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: fps - Dtype: None -[06-26 07:45:24|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: - ReMapkey - input key: padding_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: padding_mask - Dtype: None -[06-26 07:45:24|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: - TextAttr - input key: ['t5_text_embeddings'] - Param count: 0 - Trainable: None - Dropout rate: 0.2 - Output key: [crossattn_emb] -[06-26 07:45:24|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: - BooleanFlag - input key: fps - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: use_video_condition - This is a boolean flag -[06-26 07:45:24|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: - ReMapkey - input key: control_input_edge - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_edge - Dtype: None -[06-26 07:45:24|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: - ReMapkey - input key: control_input_vis - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_vis - Dtype: None -[06-26 07:45:24|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: - ReMapkey - input key: control_input_depth - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_depth - Dtype: None -[06-26 07:45:24|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: - ReMapkey - input key: control_input_seg - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_seg - Dtype: None -[06-26 07:45:24|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: - ReMapkey - input key: control_input_inpaint - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_inpaint - Dtype: None -[06-26 07:45:24|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: - ReMapkey - input key: control_input_edge_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_edge_mask - Dtype: None -[06-26 07:45:24|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: - ReMapkey - input key: control_input_vis_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_vis_mask - Dtype: None -[06-26 07:45:24|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: - ReMapkey - input key: control_input_depth_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_depth_mask - Dtype: None -[06-26 07:45:24|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: - ReMapkey - input key: control_input_seg_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_seg_mask - Dtype: None -[06-26 07:45:24|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: - ReMapkey - input key: control_input_inpaint_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_inpaint_mask - Dtype: None -[06-26 07:45:24|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: - SigLip2EmbImgContext - input key: ['images', 'video', 'image_context'] - Param count: 0 - Trainable: None - Dropout rate: 0.5 - Input key: ['images', 'video', 'image_context'] - Output key: ['img_context_emb'] -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag: True. We enable bias if no AdaLN LoRA for backward compatibility. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:24|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27 -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 07:45:25|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.38 s -[06-26 07:45:26|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 1.79 s -[06-26 07:45:26|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 240.72 s -[06-26 07:45:26|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 240.72 s -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] -Freezing base model - -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint. -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block -[06-26 07:45:26|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block -[06-26 07:45:26|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model... -[06-26 07:45:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70) -[06-26 07:45:26|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache -[06-26 07:45:26|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32 -[06-26 07:45:26|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/. -[06-26 07:45:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f) -[06-26 07:45:33|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423. -[06-26 07:45:33|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated -[06-26 07:45:33|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT( - (x_embedder): PatchEmbed( - (proj): Sequential( - (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2) - (1): Linear(in_features=72, out_features=2048, bias=False) - ) - ) - (pos_embedder): VideoRopePosition3DEmb() - (t_embedder): Sequential( - (0): Timesteps() - (1): TimestepEmbedding( - (linear_1): Linear(in_features=2048, out_features=2048, bias=False) - (activation): SiLU() - (linear_2): Linear(in_features=2048, out_features=6144, bias=False) - ) - ) - (blocks): ModuleList( - (0-27): 28 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlAwareDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): I2VCrossAttentionFull( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): DotProductAttention( - (flash_attention): FlashAttention() - (fused_attention): FusedAttention() - (unfused_attention): UnfusedDotProductAttention( - (scale_mask_softmax): FusedScaleMaskSoftmax() - (attention_dropout): Dropout(p=0, inplace=False) - ) - ) - (k_img): Linear(in_features=2048, out_features=2048, bias=False) - (v_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img_norm): RMSNorm() - (k_img_norm): RMSNorm() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - ) - ) - ) - (final_layer): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): FinalLayer( - (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (linear): Linear(in_features=2048, out_features=64, bias=False) - (adaln_modulation): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=4096, bias=False) - ) - ) - ) - ) - ) - (t_embedding_norm): RMSNorm() - (img_context_proj): Sequential( - (0): Linear(in_features=1152, out_features=2048, bias=True) - (1): GELU(approximate='none') - ) - (crossattn_proj): Sequential( - (0): Linear(in_features=100352, out_features=1024, bias=True) - (1): GELU(approximate='none') - ) - (control_embedder): PatchEmbed( - (proj): Sequential( - (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2) - (1): Linear(in_features=520, out_features=2048, bias=False) - ) - ) - (control_blocks): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): I2VCrossAttentionFull( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): DotProductAttention( - (flash_attention): FlashAttention() - (fused_attention): FusedAttention() - (unfused_attention): UnfusedDotProductAttention( - (scale_mask_softmax): FusedScaleMaskSoftmax() - (attention_dropout): Dropout(p=0, inplace=False) - ) - ) - (k_img): Linear(in_features=2048, out_features=2048, bias=False) - (v_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img_norm): RMSNorm() - (k_img_norm): RMSNorm() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): I2VCrossAttentionFull( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): DotProductAttention( - (flash_attention): FlashAttention() - (fused_attention): FusedAttention() - (unfused_attention): UnfusedDotProductAttention( - (scale_mask_softmax): FusedScaleMaskSoftmax() - (attention_dropout): Dropout(p=0, inplace=False) - ) - ) - (k_img): Linear(in_features=2048, out_features=2048, bias=False) - (v_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img_norm): RMSNorm() - (k_img_norm): RMSNorm() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) -) -[06-26 07:45:33|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 248.77 s -[06-26 07:45:33|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125) -[06-26 07:45:33|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt -[06-26 07:45:35|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:35|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:45:36|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[]) -[06-26 07:45:36|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None -[06-26 07:45:36|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True). -[06-26 07:45:36|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled -[06-26 07:45:36|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples -[06-26 07:45:36|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/Building/hybrid/config.yaml -[06-26 07:45:36|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_hybrid'] -[06-26 07:45:36|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_hybrid -[06-26 07:45:36|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_Building_hybrid' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None) -[06-26 07:45:36|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/Building/hybrid/sunny_Building_hybrid.json -[06-26 07:45:36|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled -[06-26 07:45:36|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4', 'edge_mask': None, 'edge_mask_prompt': None} -[06-26 07:45:36|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video... -[06-26 07:45:36|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4 -[06-26 07:45:36|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 07:45:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings... -[06-26 07:45:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings... -[06-26 07:45:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available... -[06-26 07:45:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided. -[06-26 07:45:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs... -[06-26 07:45:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4 -[06-26 07:45:37|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 07:45:38|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2 -[06-26 07:45:38|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845 -[06-26 07:45:38|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY] -[06-26 07:45:38|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context -[06-26 07:45:38|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 07:45:38|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context -[06-26 07:45:38|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 07:46:05|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 07:50:55|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2 -[06-26 07:50:55|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774 -[06-26 07:50:55|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY] -[06-26 07:50:55|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context -[06-26 07:50:55|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 07:50:55|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context -[06-26 07:50:55|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 07:50:57|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 07:55:40|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 299.024450614932 -[06-26 07:55:41|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 07:55:42|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/Building/hybrid/sunny_Building_hybrid_control_edge.mp4 -[06-26 07:55:42|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled -[06-26 07:55:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 07:55:44|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/Building/hybrid/sunny_Building_hybrid.mp4 diff --git a/multicontrol_edgecompare_grid/sunny/Building/hybrid/spec.json b/multicontrol_edgecompare_grid/sunny/Building/hybrid/spec.json deleted file mode 100644 index 005c8135cdb1befc6b713c0ab5fc43fe41c9e51f..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/Building/hybrid/spec.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "name": "sunny_Building_hybrid", - "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.", - "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4", - "guidance": 3, - "num_steps": 35, - "seed": 2025, - "edge": { - "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4", - "control_weight": 1.0 - }, - "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures." -} \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/Building/hybrid/sunny_Building_hybrid.json b/multicontrol_edgecompare_grid/sunny/Building/hybrid/sunny_Building_hybrid.json deleted file mode 100644 index 1ac5f0f5d4d675fadd7516dd289de2d1c1a431f1..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/Building/hybrid/sunny_Building_hybrid.json +++ /dev/null @@ -1 +0,0 @@ -{"name":"sunny_Building_hybrid","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null} \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/Building/hybrid/sunny_Building_hybrid.mp4 b/multicontrol_edgecompare_grid/sunny/Building/hybrid/sunny_Building_hybrid.mp4 deleted file mode 100644 index fa4f13c77fae6e4e5fd312c9e4fa1d24f4c6efbc..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/Building/hybrid/sunny_Building_hybrid.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:5b045dc021bed340a2fa939d9c1abcf02b94827dc5b6457d0e727bcfb8de0e80 -size 667542 diff --git a/multicontrol_edgecompare_grid/sunny/Building/hybrid/sunny_Building_hybrid.txt b/multicontrol_edgecompare_grid/sunny/Building/hybrid/sunny_Building_hybrid.txt deleted file mode 100644 index 20a963b13c72a11374e0cef9d7e75383860a19e6..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/Building/hybrid/sunny_Building_hybrid.txt +++ /dev/null @@ -1 +0,0 @@ -The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail. \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/Building/hybrid/sunny_Building_hybrid_control_edge.mp4 b/multicontrol_edgecompare_grid/sunny/Building/hybrid/sunny_Building_hybrid_control_edge.mp4 deleted file mode 100644 index 7c83c9975e329bdb864782bbfe30f99966758778..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/Building/hybrid/sunny_Building_hybrid_control_edge.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:4f9c30826efca23d4963aa1e7b75ecd71bd7d93036028d729db3cf6cca212fb9 -size 3640682 diff --git a/multicontrol_edgecompare_grid/sunny/Building/semseg/config.yaml b/multicontrol_edgecompare_grid/sunny/Building/semseg/config.yaml deleted file mode 100644 index 4b37a3249a413b9889301b34b367fc58e72b57cf..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/Building/semseg/config.yaml +++ /dev/null @@ -1,882 +0,0 @@ -checkpoint: - broadcast_via_filesystem: 'False' - dcp_async_mode_enabled: 'False' - enable_gcs_patch_in_boto3: 'False' - jit: - device: cuda - dtype: bfloat16 - enabled: 'False' - input_shape: null - strict: 'True' - keys_not_to_resume: [] - keys_to_skip_loading: [] - load_ema_to_reg: 'False' - load_from_object_store: - bucket: bucket - credentials: credentials/s3_checkpoint.secret - enabled: 'True' - load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 - load_training_state: 'False' - only_load_scheduler_state: 'False' - save_iter: '1000' - save_to_object_store: - bucket: bucket - credentials: credentials/s3_checkpoint.secret - enabled: 'True' - strict_resume: 'False' - type: - _target_: - callbacks: null - disable_async: 'False' - verbose: 'True' -dataloader_train: - dataloaders: - image_data: - ratio: '0' - video_data: - dataloader: - batch_size: '1' - cache_augment_fn: functools.partial(, n=1.8) - cache_size: '32' - concat_size: '1' - dataset: - augmentor_name: video_basic_augmentor_v2_with_control_and_image_context - caption_type: t2w_qwen2p5_7b - control_input_type: edge - dataset_resolution_type: gt720p - embedding_type: null - max_fps_thres: '60' - min_fps_thres: '10' - num_video_frames: '93' - resolution: '720' - use_native_fps: 'True' - video_decoder_name: video_naive_bytes - num_workers: '4' - use_cache: 'False' - ratio: '1' - video_data_1: - dataloader: - batch_size: '6' - cache_augment_fn: functools.partial(, n=1.8) - cache_size: '32' - concat_size: '1' - dataset: - augmentor_name: video_basic_augmentor_v2_with_control_and_image_context - caption_type: t2w_qwen2p5_7b - control_input_type: edge - dataset_resolution_type: gt720p - embedding_type: null - num_video_frames: '1' - resolution: '720' - use_native_fps: 'True' - video_decoder_name: video_naive_bytes - num_workers: '4' - use_cache: 'False' - ratio: '1' - dataset: - augmentor_name: video_basic_augmentor_v2_with_control - caption_type: t2w_qwen2p5_7b - control_input_type: edge - dataset_resolution_type: gt720p - embedding_type: null - max_fps_thres: '60' - min_fps_thres: '10' - num_video_frames: '93' - resolution: '720' - use_native_fps: 'True' - video_decoder_name: video_naive_bytes - num_workers: '4' -dataloader_val: - _target_: - dataloaders: - image_data: - dataloader: - _target_: - batch_size: '2' - cache_augment_fn: null - cache_replay_name: image_dataloader - cache_size: '32' - concat_size: '1' - dataset: - _target_: - len_t5: '512' - resolution: '512' - t5_dim: '1024' - num_workers: '8' - pin_memory: 'True' - shuffle: 'False' - use_cache: 'False' - webdataset: 'False' - ratio: '1' - video_data: - dataloader: - _target_: - batch_size: '1' - cache_augment_fn: null - cache_replay_name: video_dataloader - cache_size: '32' - concat_size: '1' - dataset: - _target_: - len_t5: '512' - num_video_frames: '136' - resolution: '512' - t5_dim: '1024' - num_workers: '8' - pin_memory: 'True' - shuffle: 'False' - use_cache: 'False' - webdataset: 'False' - ratio: '1' -defaults: -- _self_ -- data_train: mock -- data_val: mock -- optimizer: fusedadamw -- scheduler: lambdalinear -- model: ddp -- callbacks: basic -- net: null -- conditioner: video_prediction_control_conditioner -- ema: power -- tokenizer: wan2pt1_tokenizer -- checkpoint: s3 -- ckpt_type: dummy -- experiment: null -job: - cluster: null - group: vid2vid_2B_control - name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data - project: cosmos_transfer2 - wandb_mode: online -model: - _recursive_: 'False' - _target_: - config: - base_load_from: null - conditional_frame_timestep: -1.0 - conditional_frames_probs: - 0: 0.4 - 1: 0.4 - 2: 0.2 - conditioner: - _target_: - control_input_depth: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_depth - output_key: control_input_depth - control_input_depth_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_depth_mask - output_key: control_input_depth_mask - control_input_edge: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_edge - output_key: control_input_edge - control_input_edge_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_edge_mask - output_key: control_input_edge_mask - control_input_inpaint: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_inpaint - output_key: control_input_inpaint - control_input_inpaint_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_inpaint_mask - output_key: control_input_inpaint_mask - control_input_seg: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_seg - output_key: control_input_seg - control_input_seg_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_seg_mask - output_key: control_input_seg_mask - control_input_vis: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_vis - output_key: control_input_vis - control_input_vis_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_vis_mask - output_key: control_input_vis_mask - fps: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: fps - output_key: fps - padding_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: padding_mask - output_key: padding_mask - reference_image_context: - _target_: - dropout_rate: '0.5' - input_key: - - images - - video - - image_context - num_token: '256' - output_key: null - text: - _target_: - credential_path: credentials/s3_training.secret - dropout_rate: '0.2' - empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt - input_key: - - t5_text_embeddings - use_empty_string: 'False' - use_video_condition: - _target_: - dropout_rate: '0.0' - input_key: fps - output_key: use_video_condition - conditioning_strategy: frame_replace - copy_weight_strategy: first_n - denoise_replace_gt_frames: true - ema: - enabled: false - iteration_shift: 0 - rate: 0.1 - fsdp_shard_size: 1 - high_sigma_ratio: 0.05 - high_sigma_timesteps_max: 1000 - high_sigma_timesteps_min: 980 - hint_keys: edge - init_lora_weights: true - input_caption_key: ai_caption - input_data_key: video - input_image_key: images - lora_alpha: 32 - lora_rank: 32 - lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2 - max_num_conditional_frames: 2 - min_num_conditional_frames: 0 - net: - _target_: - adaln_lora_dim: '256' - atten_backend: minimal_a2a - concat_padding_mask: 'True' - condition_strategy: spaced - crossattn_emb_channels: '1024' - crossattn_proj_in_channels: '100352' - extra_image_context_dim: '1152' - extra_per_block_abs_pos_emb: 'False' - img_context_deep_proj: 'False' - in_channels: '16' - max_frames: '128' - max_img_h: '240' - max_img_w: '240' - mlp_ratio: '4.0' - model_channels: '2048' - num_blocks: '28' - num_control_branches: '1' - num_heads: '16' - num_max_modalities: '8' - out_channels: '16' - patch_spatial: '2' - patch_temporal: '1' - pos_emb_cls: rope3d - pos_emb_interpolation: crop - pos_emb_learnable: 'True' - rope_enable_fps_modulation: 'False' - rope_h_extrapolation_ratio: '3.0' - rope_t_extrapolation_ratio: '1.0' - rope_w_extrapolation_ratio: '3.0' - sac_config: - every_n_blocks: 1 - mode: predict2_2b_720_aggressive - separate_embedders: 'False' - share_q_in_i2v_cross_attn: 'False' - spatial_compression_factor: '8' - timestep_scale: '0.001' - use_adaln_lora: 'True' - use_after_proj_for_multi_branch: 'True' - use_crossattn_projection: 'True' - use_cuda_graphs: 'False' - use_input_hint_block: 'False' - use_wan_fp32_strategy: 'True' - vace_block_every_n: '7' - vace_has_mask: 'False' - precision: bfloat16 - resolution: '720' - shift: 5 - state_ch: 16 - state_t: 24 - text_encoder_class: reason1p1_7B - text_encoder_config: - ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/ - compute_online: true - embedding_concat_strategy: full_concat - model_config: - _target_: - model_config: - _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig - activation_checkpoint: - mode: selective - models: vlm - selective_ac_option: op - add_answer_tag: 'True' - add_cross_attention: 'False' - add_image_start_end_tag: 'False' - add_tile_tag: 'False' - architectures: - - Qwen2_5_VLForConditionalGeneration - attention_dropout: '0.0' - attn_implementation: flash_attention_2 - attn_implementation_autoset: 'True' - aux_loss_coeff: '0.0' - bad_words_ids: null - begin_suppress_tokens: null - bos_token_id: '151643' - cache_dir: null - checkpoint: - async_mode: disabled - create_seed_checkpoint: false - enable_checkpoint: false - export_dtype: float32 - folder: checkpoint - interval: 500 - interval_type: steps - model_weights_only: false - chunk_size_feed_forward: '0' - ckpt_dir: null - ckpt_path: null - comm: - init_timeout_seconds: 300 - trace_buf_size: 20000 - train_timeout_seconds: 100 - cp_size: null - cross_attention_hidden_size: null - decoder_start_token_id: null - deterministic: 'False' - diversity_penalty: '0.0' - do_sample: 'False' - early_stopping: 'False' - encoder_no_repeat_ngram_size: '0' - eos_token_id: '151645' - ep_size: null - experimental: - enable_async_tensor_parallel: false - enable_compiled_autograd: false - pipeline_parallel_degree: 1 - exponential_decay_length_penalty: null - finetuning_task: null - float8: - enable_float8_linear: false - forced_bos_token_id: null - forced_eos_token_id: null - freeze_llm: 'False' - freeze_mm_projector: 'False' - freeze_vision_encoder: 'False' - fsdp_enabled: 'False' - hidden_act: silu - hidden_size: '3584' - id2label: - 0: LABEL_0 - 1: LABEL_1 - image_token_id: '151655' - initializer_range: '0.02' - intermediate_size: '18944' - is_decoder: 'False' - is_encoder_decoder: 'False' - label2id: - LABEL_0: '0' - LABEL_1: '1' - length_penalty: '1.0' - loss_per_token: 'True' - max_batch_size: '1' - max_length: '20' - max_position_embeddings: '128000' - max_seq_len: '128000' - max_window_layers: '28' - min_length: '0' - mm_projector: null - model_type: qwen2_5_vl - name_or_path: Qwen/Qwen2.5-VL-7B-Instruct - no_repeat_ngram_size: '0' - num_attention_heads: '28' - num_beam_groups: '1' - num_beams: '1' - num_hidden_layers: '28' - num_key_value_heads: '4' - num_return_sequences: '1' - num_tiles: '1' - optimizer: - early_step_in_backward: false - end_lr: 2.5e-05 - fused: false - init_lr: 1.0e-05 - lr: 0.0003 - lr_multiplier_llm: 1.0 - lr_multiplier_mm_projector: 1.0 - lr_multiplier_vision_encoder: 0.1 - name: AdamW - output_attentions: 'False' - output_hidden_states: 'True' - output_scores: 'False' - pad_token_id: null - precision: bfloat16 - prefix: null - prepend_padding: 'False' - problem_type: null - pruned_heads: _Nothing.NOTHING - remove_invalid_values: 'False' - repetition_penalty: '1.0' - return_dict: 'True' - return_dict_in_generate: 'False' - rms_norm_eps: 1e-06 - rope_scaling: - mrope_section: - - '16' - - '24' - - '24' - rope_type: default - type: default - rope_theta: '1000000.0' - s3_credential_path: credentials/pbss_dir.secret - seed: '0' - sep_token_id: null - sliding_window: '32768' - suppress_tokens: null - task_specific_params: null - temperature: '1.0' - tf_legacy_loss: 'False' - tie_encoder_decoder: 'False' - tie_word_embeddings: 'False' - tile_tag_type: space_separated - tokenizer_class: null - tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct - top_k: '50' - top_p: '1.0' - torch_dtype: bfloat16 - torchscript: 'False' - training: - compile: false - context_parallel_degree: 1 - data_parallel_replicate_degree: 1 - data_parallel_shard_degree: -1 - disable_loss_parallel: false - enable_cpu_offload: false - fsdp_reshard_after_forward: default - mixed_precision_param: bfloat16 - mixed_precision_reduce: float32 - steps: 400000 - tensor_parallel_degree: 1 - use_cosine_decay: false - use_linear_decay: true - warmup_steps: 1000 - training_seq_len: '4096' - transformers_version: 4.51.0.dev0 - typical_p: '1.0' - use_bfloat16: 'False' - use_cache: 'False' - use_fsdp2: 'True' - use_return_dict: 'True' - use_rope_from_torchtitan: 'False' - use_sliding_window: 'False' - video_token_id: '151656' - vision_config: - _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig - add_cross_attention: 'False' - architectures: null - attn_implementation: flash_attention_2 - attn_implementation_autoset: 'True' - bad_words_ids: null - begin_suppress_tokens: null - bos_token_id: null - chunk_size_feed_forward: '0' - cross_attention_hidden_size: null - decoder_start_token_id: null - depth: '32' - diversity_penalty: '0.0' - do_sample: 'False' - early_stopping: 'False' - embed_dim: null - encoder_no_repeat_ngram_size: '0' - eos_token_id: null - exponential_decay_length_penalty: null - finetuning_task: null - forced_bos_token_id: null - forced_eos_token_id: null - fullatt_block_indexes: - - '7' - - '15' - - '23' - - '31' - hidden_act: silu - hidden_size: '1280' - id2label: - 0: LABEL_0 - 1: LABEL_1 - in_channels: '3' - in_chans: '3' - intermediate_size: '3420' - is_decoder: 'False' - is_encoder_decoder: 'False' - label2id: - LABEL_0: '0' - LABEL_1: '1' - length_penalty: '1.0' - max_length: '20' - min_length: '0' - mlp_ratio: null - model_type: qwen2_5_vl - name_or_path: '' - no_repeat_ngram_size: '0' - num_beam_groups: '1' - num_beams: '1' - num_heads: '16' - num_return_sequences: '1' - out_hidden_size: '3584' - output_attentions: 'False' - output_hidden_states: 'False' - output_scores: 'False' - pad_token_id: null - patch_size: '14' - prefix: null - problem_type: null - pruned_heads: _Nothing.NOTHING - remove_invalid_values: 'False' - repetition_penalty: '1.0' - return_dict: 'True' - return_dict_in_generate: 'False' - sep_token_id: null - spatial_merge_size: '2' - spatial_patch_size: '14' - suppress_tokens: null - task_specific_params: null - temperature: '1.0' - temporal_patch_size: '2' - tf_legacy_loss: 'False' - tie_encoder_decoder: 'False' - tie_word_embeddings: 'True' - tokenizer_class: null - tokens_per_second: '2' - top_k: '50' - top_p: '1.0' - torch_dtype: bfloat16 - torchscript: 'False' - typical_p: '1.0' - use_bfloat16: 'False' - window_size: '112' - vision_encoder: openai/clip-vit-base-patch32 - vision_encoder_config: - depth_init: true - dim: 1024 - ffn_dim_multiplier: null - head_dim: null - hidden_act: null - hidden_dim: 4096 - image_size: 1024 - image_token_id: null - multiple_of: null - n_heads: 16 - n_kv_heads: null - n_layers: 24 - norm_eps: 1.0e-05 - norm_type: rmsnorm - num_channels: 3 - patch_size: 16 - proj_bias: null - qkv_bias: null - rope_theta: 10000.0 - use_cache: false - use_rope_from_torchtitan: false - vision_encoder_in_channels: '3' - vision_end_token_id: '151653' - vision_start_token_id: '151652' - vision_token_id: '151654' - vocab_size: '152064' - z_loss_coeff: '0.0' - tokenizer: - _target_: - cache_dir: null - tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct - n_layers_per_group: 5 - s3_credential_path: credentials/s3_checkpoint.secret - tokenizer: - _target_: - chunk_duration: '81' - load_mean_std: 'False' - name: wan2pt1_tokenizer - temporal_window: '16' - train_time_distribution: logitnormal - train_time_weight: uniform - use_dora: false - use_dynamic_shift: false - use_high_sigma_strategy: false - use_kerras_sigma_at_inference: false - use_lora: false - use_reference_image: true - use_torch_compile: false -model_parallel: - _cpu_offloading_context: null - async_tensor_model_parallel_allreduce: false - autocast_dtype: torch.float32 - barrier_with_L1_time: true - batch_p2p_comm: true - batch_p2p_sync: true - bf16: false - context_parallel_size: 8 - cpu_offloading: false - cpu_offloading_activations: true - cpu_offloading_double_buffering: false - cpu_offloading_num_layers: 0 - cpu_offloading_weights: true - cross_entropy_fusion_impl: native - cross_entropy_loss_fusion: false - deallocate_pipeline_outputs: false - defer_embedding_wgrad_compute: false - delay_wgrad_compute: false - deterministic_mode: false - enable_autocast: false - expert_model_parallel_size: 1 - expert_tensor_parallel_size: 1 - finalize_model_grads_func: null - fp16: false - grad_scale_func: null - grad_sync_func: null - gradient_accumulation_fusion: false - hierarchical_context_parallel_sizes: null - microbatch_group_size_per_vp_stage: 1 - moe_extended_tp: false - no_sync_func: null - num_microbatches_with_partial_activation_checkpoints: null - overlap_moe_expert_parallel_comm: false - overlap_p2p_comm: false - overlap_p2p_comm_warmup_flush: false - param_sync_func: null - params_dtype: torch.float32 - perform_initialization: true - pipeline_dtype: null - pipeline_model_parallel_comm_backend: null - pipeline_model_parallel_size: 1 - sequence_parallel: false - tensor_model_parallel_size: 1 - timers: null - tp_comm_atomic_ag: false - tp_comm_atomic_rs: false - tp_comm_bootstrap_backend: nccl - tp_comm_bulk_dgrad: true - tp_comm_bulk_wgrad: true - tp_comm_overlap: false - tp_comm_overlap_ag: true - tp_comm_overlap_disable_fc1: false - tp_comm_overlap_disable_qkv: false - tp_comm_overlap_rs: true - tp_comm_overlap_rs_dgrad: false - tp_comm_split_ag: true - tp_comm_split_rs: true - use_cpu_initialization: false - use_ring_exchange_p2p: false - use_te_rng_tracker: false - variable_seq_lengths: false - virtual_pipeline_model_parallel_size: null - wgrad_deferral_limit: 0 -optimizer: - _target_: - betas: - - '0.9' - - '0.999' - eps: 1e-08 - fused: 'True' - lr: '8.63e-05' - model: null - optim_type: adamw - weight_decay: '0.001' -scheduler: - _target_: - cycle_lengths: - - '100000' - f_max: - - '0.5' - f_min: - - '0.2' - f_start: - - 1e-06 - verbosity_interval: '0' - warm_up_steps: - - '100' -trainer: - callbacks: - compile_tokenizer: - _target_: - compile_after_iterations: '4' - dynamic: 'False' - enabled: 'True' - dataloader_speed: - _target_: - every_n: '200' - save_s3: 'True' - step_size: '1' - device_monitor: - _target_: - every_n: '200' - log_memory_detail: 'True' - save_s3: 'True' - step_size: '1' - upload_every_n_mul: '10' - every_n_sample_ema: - _target_: - every_n: '5000' - fix_batch_fp: null - fps: '16' - guidance: - - '0' - - '3' - - '7' - is_ema: 'True' - is_sample: 'True' - is_x0: 'False' - n_sample_to_save: '128' - n_viz_sample: '3' - n_x0_level: '4' - num_sampling_step: '35' - save_s3: 'True' - show_all_frames: 'False' - step_size: '1' - use_negative_prompt: 'False' - every_n_sample_reg: - _target_: - every_n: '5000' - fix_batch_fp: null - fps: '16' - guidance: - - '0' - - '3' - - '7' - is_ema: 'False' - is_sample: 'True' - is_x0: 'False' - n_sample_to_save: '128' - n_viz_sample: '3' - n_x0_level: '4' - num_sampling_step: '35' - save_s3: 'True' - show_all_frames: 'False' - step_size: '1' - use_negative_prompt: 'False' - frame_loss_log: - _target_: - logging_iter_multipler: '1' - save_logging_iter_multipler: '10' - save_s3: 'True' - grad_clip: - _target_: - clip_norm: '0.1' - force_finite: 'True' - heart_beat: - _target_: - every_n: '10' - save_s3: 'True' - step_size: '1' - update_interval_in_minute: '20' - iter_speed: - _target_: - every_n: '100' - hit_thres: '300' - save_s3: 'True' - save_s3_every_log_n: '10' - load_base_model: - _target_: - config: null - trainer: null - low_prec: - _target_: - config: null - trainer: null - update_iter: '1' - manual_gc: - _target_: - every_n: '200' - warm_up: '5' - wandb: - _target_: - logging_iter_multipler: '1' - save_logging_iter_multipler: '10' - save_s3: 'True' - wandb_10x: - _target_: - logging_iter_multipler: '10' - save_logging_iter_multipler: '1' - save_s3: 'True' - compile_config: - recompile_limit: '8' - use_duck_shape: 'True' - cudnn: - benchmark: 'True' - deterministic: 'False' - ddp: - broadcast_buffers: 'True' - find_unused_parameters: 'False' - static_graph: 'True' - distributed_parallelism: fsdp - grad_accum_iter: '1' - grad_scaler_args: - enabled: 'False' - logging_iter: '200' - max_iter: '100000' - max_val_iter: null - memory_format: torch.preserve_format - profiling: - enable_memory_snapshot: 'False' - enable_profiling: 'False' - profile_freq: '1' - profile_memory: 'False' - record_shape: 'False' - save_s3: 'False' - target_ranks: - - '0' - - '1' - - '2' - - '3' - - '4' - - '5' - - '6' - - '7' - with_modules: 'True' - with_stack: 'True' - run_validation: 'False' - run_validation_on_start: 'False' - seed: '0' - straggler_detection: - analyze_backward: 'True' - analyze_dataloading: 'True' - analyze_forward: 'True' - analyze_optimizer: 'True' - enabled: 'True' - max_diff: '1.5' - profile_freq: '1' - raise_error: 'True' - report_freq: '100' - timeout_period: '999999999' - type: - validation_iter: '100' -upload_reproducible_setup: 'True' diff --git a/multicontrol_edgecompare_grid/sunny/Building/semseg/console.log b/multicontrol_edgecompare_grid/sunny/Building/semseg/console.log deleted file mode 100644 index 47c02f51d43af81c85f17e88dfd2b98583efda4f..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/Building/semseg/console.log +++ /dev/null @@ -1,10 +0,0 @@ -[06-26 07:56:33|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples -[06-26 07:56:33|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/Building/semseg/config.yaml -[06-26 07:56:33|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_semseg'] -[06-26 07:56:33|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_semseg -[06-26 07:56:33|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/Building/semseg/sunny_Building_semseg.json -[06-26 07:56:33|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled -[06-26 07:56:33|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4', 'edge_mask': None, 'edge_mask_prompt': None} -[06-26 08:06:39|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/Building/semseg/sunny_Building_semseg_control_edge.mp4 -[06-26 08:06:39|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled -[06-26 08:06:41|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/Building/semseg/sunny_Building_semseg.mp4 diff --git a/multicontrol_edgecompare_grid/sunny/Building/semseg/debug.log b/multicontrol_edgecompare_grid/sunny/Building/semseg/debug.log deleted file mode 100644 index 2f49260ef1c450afa8df6264f3e856306de2405f..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/Building/semseg/debug.log +++ /dev/null @@ -1,969 +0,0 @@ -[06-26 07:55:49|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False) -[06-26 07:55:50|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser -[06-26 07:55:50|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser -[06-26 07:56:11|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:] for the back comptiable pytorch! New DefaultLoadPlanner class is created. -[06-26 07:56:12|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:] for the back comptiable pytorch! New DefaultLoadPlanner class is created. -[06-26 07:56:13|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/Building/semseg') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer= enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge']) -[06-26 07:56:13|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1... -[06-26 07:56:13|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2... -[06-26 07:56:13|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor... -[06-26 07:56:13|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control... -[06-26 07:56:13|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control... -[06-26 07:56:13|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control... -[06-26 07:56:13|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context... -[06-26 07:56:13|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input... -[06-26 07:56:13|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets... -[06-26 07:56:13|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found. -[06-26 07:56:13|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9. -[06-26 07:56:13|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment -[06-26 07:56:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore -[06-26 07:56:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale -[06-26 07:56:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit -[06-26 07:56:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list -[06-26 07:56:13|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av -[06-26 07:56:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore -[06-26 07:56:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale -[06-26 07:56:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list -[06-26 07:56:13|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments -[06-26 07:56:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot -[06-26 07:56:13|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example -[06-26 07:56:14|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview -[06-26 07:56:14|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example -[06-26 07:56:14|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview -[06-26 07:56:14|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example -[06-26 07:56:14|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 -[06-26 07:56:14|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0. -[06-26 07:56:14|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 -[06-26 07:56:14|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16 -[06-26 07:56:15|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8) -[06-26 07:56:15|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth -[06-26 07:56:15|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 0.67 s -[06-26 07:56:21|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] -[06-26 07:56:21|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: - ReMapkey - input key: fps - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: fps - Dtype: None -[06-26 07:56:21|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: - ReMapkey - input key: padding_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: padding_mask - Dtype: None -[06-26 07:56:21|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: - TextAttr - input key: ['t5_text_embeddings'] - Param count: 0 - Trainable: None - Dropout rate: 0.2 - Output key: [crossattn_emb] -[06-26 07:56:21|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: - BooleanFlag - input key: fps - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: use_video_condition - This is a boolean flag -[06-26 07:56:21|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: - ReMapkey - input key: control_input_edge - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_edge - Dtype: None -[06-26 07:56:21|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: - ReMapkey - input key: control_input_vis - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_vis - Dtype: None -[06-26 07:56:21|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: - ReMapkey - input key: control_input_depth - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_depth - Dtype: None -[06-26 07:56:21|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: - ReMapkey - input key: control_input_seg - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_seg - Dtype: None -[06-26 07:56:21|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: - ReMapkey - input key: control_input_inpaint - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_inpaint - Dtype: None -[06-26 07:56:21|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: - ReMapkey - input key: control_input_edge_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_edge_mask - Dtype: None -[06-26 07:56:21|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: - ReMapkey - input key: control_input_vis_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_vis_mask - Dtype: None -[06-26 07:56:21|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: - ReMapkey - input key: control_input_depth_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_depth_mask - Dtype: None -[06-26 07:56:21|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: - ReMapkey - input key: control_input_seg_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_seg_mask - Dtype: None -[06-26 07:56:21|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: - ReMapkey - input key: control_input_inpaint_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_inpaint_mask - Dtype: None -[06-26 07:56:21|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: - SigLip2EmbImgContext - input key: ['images', 'video', 'image_context'] - Param count: 0 - Trainable: None - Dropout rate: 0.5 - Input key: ['images', 'video', 'image_context'] - Output key: ['img_context_emb'] -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag: True. We enable bias if no AdaLN LoRA for backward compatibility. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:21|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26 -[06-26 07:56:22|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27 -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:22|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.14 s -[06-26 07:56:23|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 1.58 s -[06-26 07:56:23|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 7.92 s -[06-26 07:56:23|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 7.92 s -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] -Freezing base model - -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint. -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block -[06-26 07:56:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block -[06-26 07:56:23|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model... -[06-26 07:56:23|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70) -[06-26 07:56:23|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache -[06-26 07:56:23|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16 -[06-26 07:56:23|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32 -[06-26 07:56:24|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/. -[06-26 07:56:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f) -[06-26 07:56:30|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423. -[06-26 07:56:30|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated -[06-26 07:56:30|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT( - (x_embedder): PatchEmbed( - (proj): Sequential( - (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2) - (1): Linear(in_features=72, out_features=2048, bias=False) - ) - ) - (pos_embedder): VideoRopePosition3DEmb() - (t_embedder): Sequential( - (0): Timesteps() - (1): TimestepEmbedding( - (linear_1): Linear(in_features=2048, out_features=2048, bias=False) - (activation): SiLU() - (linear_2): Linear(in_features=2048, out_features=6144, bias=False) - ) - ) - (blocks): ModuleList( - (0-27): 28 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlAwareDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): I2VCrossAttentionFull( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): DotProductAttention( - (flash_attention): FlashAttention() - (fused_attention): FusedAttention() - (unfused_attention): UnfusedDotProductAttention( - (scale_mask_softmax): FusedScaleMaskSoftmax() - (attention_dropout): Dropout(p=0, inplace=False) - ) - ) - (k_img): Linear(in_features=2048, out_features=2048, bias=False) - (v_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img_norm): RMSNorm() - (k_img_norm): RMSNorm() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - ) - ) - ) - (final_layer): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): FinalLayer( - (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (linear): Linear(in_features=2048, out_features=64, bias=False) - (adaln_modulation): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=4096, bias=False) - ) - ) - ) - ) - ) - (t_embedding_norm): RMSNorm() - (img_context_proj): Sequential( - (0): Linear(in_features=1152, out_features=2048, bias=True) - (1): GELU(approximate='none') - ) - (crossattn_proj): Sequential( - (0): Linear(in_features=100352, out_features=1024, bias=True) - (1): GELU(approximate='none') - ) - (control_embedder): PatchEmbed( - (proj): Sequential( - (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2) - (1): Linear(in_features=520, out_features=2048, bias=False) - ) - ) - (control_blocks): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): I2VCrossAttentionFull( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): DotProductAttention( - (flash_attention): FlashAttention() - (fused_attention): FusedAttention() - (unfused_attention): UnfusedDotProductAttention( - (scale_mask_softmax): FusedScaleMaskSoftmax() - (attention_dropout): Dropout(p=0, inplace=False) - ) - ) - (k_img): Linear(in_features=2048, out_features=2048, bias=False) - (v_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img_norm): RMSNorm() - (k_img_norm): RMSNorm() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): I2VCrossAttentionFull( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): DotProductAttention( - (flash_attention): FlashAttention() - (fused_attention): FusedAttention() - (unfused_attention): UnfusedDotProductAttention( - (scale_mask_softmax): FusedScaleMaskSoftmax() - (attention_dropout): Dropout(p=0, inplace=False) - ) - ) - (k_img): Linear(in_features=2048, out_features=2048, bias=False) - (v_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img_norm): RMSNorm() - (k_img_norm): RMSNorm() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) -) -[06-26 07:56:30|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 16.07 s -[06-26 07:56:30|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125) -[06-26 07:56:30|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt -[06-26 07:56:32|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:32|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:56:33|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[]) -[06-26 07:56:33|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None -[06-26 07:56:33|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True). -[06-26 07:56:33|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled -[06-26 07:56:33|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples -[06-26 07:56:33|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/Building/semseg/config.yaml -[06-26 07:56:33|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_Building_semseg'] -[06-26 07:56:33|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_Building_semseg -[06-26 07:56:33|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_Building_semseg' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None) -[06-26 07:56:33|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/Building/semseg/sunny_Building_semseg.json -[06-26 07:56:33|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled -[06-26 07:56:33|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4', 'edge_mask': None, 'edge_mask_prompt': None} -[06-26 07:56:33|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video... -[06-26 07:56:33|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4 -[06-26 07:56:33|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 07:56:34|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings... -[06-26 07:56:34|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings... -[06-26 07:56:34|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available... -[06-26 07:56:34|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided. -[06-26 07:56:34|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs... -[06-26 07:56:34|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4 -[06-26 07:56:34|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 07:56:34|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2 -[06-26 07:56:34|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845 -[06-26 07:56:35|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY] -[06-26 07:56:35|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context -[06-26 07:56:35|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 07:56:35|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context -[06-26 07:56:35|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 07:57:03|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 08:01:51|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2 -[06-26 08:01:51|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774 -[06-26 08:01:52|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY] -[06-26 08:01:52|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context -[06-26 08:01:52|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 08:01:52|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context -[06-26 08:01:52|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 08:01:54|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 08:06:37|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 298.9210735283559 -[06-26 08:06:38|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 08:06:39|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/Building/semseg/sunny_Building_semseg_control_edge.mp4 -[06-26 08:06:39|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled -[06-26 08:06:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 08:06:41|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/Building/semseg/sunny_Building_semseg.mp4 diff --git a/multicontrol_edgecompare_grid/sunny/Building/semseg/spec.json b/multicontrol_edgecompare_grid/sunny/Building/semseg/spec.json deleted file mode 100644 index 06fda6d5aae6d52091fbea3c54307da774ad61f4..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/Building/semseg/spec.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "name": "sunny_Building_semseg", - "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.", - "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4", - "guidance": 3, - "num_steps": 35, - "seed": 2025, - "edge": { - "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4", - "control_weight": 1.0 - }, - "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures." -} \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/Building/semseg/sunny_Building_semseg.json b/multicontrol_edgecompare_grid/sunny/Building/semseg/sunny_Building_semseg.json deleted file mode 100644 index a2807a39db4cf8daf4b42dd0b9a01dae5b0e6b79..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/Building/semseg/sunny_Building_semseg.json +++ /dev/null @@ -1 +0,0 @@ -{"name":"sunny_Building_semseg","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Modern glass towers, plain concrete blocks, melted or warped facades, floating disconnected structures.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null} \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/Building/semseg/sunny_Building_semseg.mp4 b/multicontrol_edgecompare_grid/sunny/Building/semseg/sunny_Building_semseg.mp4 deleted file mode 100644 index bc4776b598117ac2c2a7a766161f22916051cab7..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/Building/semseg/sunny_Building_semseg.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:f3a7237fc4e64dcc38fc5ea8405cacaa0fa54d08c3fce341d92773f9268c7c33 -size 1895107 diff --git a/multicontrol_edgecompare_grid/sunny/Building/semseg/sunny_Building_semseg.txt b/multicontrol_edgecompare_grid/sunny/Building/semseg/sunny_Building_semseg.txt deleted file mode 100644 index 20a963b13c72a11374e0cef9d7e75383860a19e6..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/Building/semseg/sunny_Building_semseg.txt +++ /dev/null @@ -1 +0,0 @@ -The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The streets are lined with ornate classical stone buildings featuring columns, cornices and tall arched windows, their facades warmly lit by the sun. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, multiple vehicles move through the junction, and the camera follows the moving ego vehicle smoothly. Photorealistic, soft shadows, high detail. \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/Building/semseg/sunny_Building_semseg_control_edge.mp4 b/multicontrol_edgecompare_grid/sunny/Building/semseg/sunny_Building_semseg_control_edge.mp4 deleted file mode 100644 index 517a976ec0a5d8e4a484eb65a5ac5ad8308f733a..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/Building/semseg/sunny_Building_semseg_control_edge.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:57c1f383a1f61fc52a275e2a3d237bee50a45e7901dc709b401226496891cd0c -size 1406752 diff --git a/multicontrol_edgecompare_grid/sunny/background/hybrid/config.yaml b/multicontrol_edgecompare_grid/sunny/background/hybrid/config.yaml deleted file mode 100644 index f73483d613aabb28d274fff95c440e1e235a0500..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/hybrid/config.yaml +++ /dev/null @@ -1,825 +0,0 @@ -checkpoint: - broadcast_via_filesystem: 'False' - dcp_async_mode_enabled: 'False' - enable_gcs_patch_in_boto3: 'False' - jit: - device: cuda - dtype: bfloat16 - enabled: 'False' - input_shape: null - strict: 'True' - keys_not_to_resume: [] - keys_to_skip_loading: [] - load_ema_to_reg: 'False' - load_from_object_store: - bucket: bucket - credentials: credentials/s3_checkpoint.secret - enabled: 'True' - load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 - load_training_state: 'False' - only_load_scheduler_state: 'False' - save_iter: '1000' - save_to_object_store: - bucket: bucket - credentials: credentials/s3_checkpoint.secret - enabled: 'True' - strict_resume: 'False' - type: - _target_: - callbacks: null - disable_async: 'False' - verbose: 'True' -dataloader_train: - dataset: - augmentor_name: video_basic_augmentor_v2_with_control - caption_type: t2w_qwen2p5_7b - control_input_type: edge_vis_depth_segcolor - dataset_resolution_type: gt720p - embedding_type: null - max_fps_thres: '60' - min_fps_thres: '10' - num_video_frames: '93' - resolution: '720' - use_native_fps: 'True' - video_decoder_name: video_naive_bytes - num_workers: '4' -dataloader_val: - _target_: - dataloaders: - image_data: - dataloader: - _target_: - batch_size: '2' - cache_augment_fn: null - cache_replay_name: image_dataloader - cache_size: '32' - concat_size: '1' - dataset: - _target_: - len_t5: '512' - resolution: '512' - t5_dim: '1024' - num_workers: '8' - pin_memory: 'True' - shuffle: 'False' - use_cache: 'False' - webdataset: 'False' - ratio: '1' - video_data: - dataloader: - _target_: - batch_size: '1' - cache_augment_fn: null - cache_replay_name: video_dataloader - cache_size: '32' - concat_size: '1' - dataset: - _target_: - len_t5: '512' - num_video_frames: '136' - resolution: '512' - t5_dim: '1024' - num_workers: '8' - pin_memory: 'True' - shuffle: 'False' - use_cache: 'False' - webdataset: 'False' - ratio: '1' -defaults: -- _self_ -- data_train: mock -- data_val: mock -- optimizer: fusedadamw -- scheduler: lambdalinear -- model: ddp -- callbacks: basic -- net: null -- conditioner: video_prediction_control_conditioner -- ema: power -- tokenizer: wan2pt1_tokenizer -- checkpoint: s3 -- ckpt_type: dummy -- experiment: null -job: - cluster: null - group: vid2vid_2B_control - name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow - project: cosmos_transfer2 - wandb_mode: online -model: - _recursive_: 'False' - _target_: - config: - base_load_from: null - conditional_frame_timestep: -1.0 - conditional_frames_probs: - 0: 0.4 - 1: 0.4 - 2: 0.2 - conditioner: - _target_: - control_input_depth: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_depth - output_key: control_input_depth - control_input_depth_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_depth_mask - output_key: control_input_depth_mask - control_input_edge: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_edge - output_key: control_input_edge - control_input_edge_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_edge_mask - output_key: control_input_edge_mask - control_input_inpaint: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_inpaint - output_key: control_input_inpaint - control_input_inpaint_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_inpaint_mask - output_key: control_input_inpaint_mask - control_input_seg: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_seg - output_key: control_input_seg - control_input_seg_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_seg_mask - output_key: control_input_seg_mask - control_input_vis: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_vis - output_key: control_input_vis - control_input_vis_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_vis_mask - output_key: control_input_vis_mask - fps: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: fps - output_key: fps - padding_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: padding_mask - output_key: padding_mask - text: - _target_: - credential_path: credentials/s3_training.secret - dropout_rate: '0.2' - empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt - input_key: - - t5_text_embeddings - use_empty_string: 'False' - use_video_condition: - _target_: - dropout_rate: '0.0' - input_key: fps - output_key: use_video_condition - conditioning_strategy: frame_replace - copy_weight_strategy: first_n - denoise_replace_gt_frames: true - ema: - enabled: false - iteration_shift: 0 - rate: 0.1 - fsdp_shard_size: 1 - high_sigma_ratio: 0.05 - high_sigma_timesteps_max: 1000 - high_sigma_timesteps_min: 980 - hint_keys: edge_vis_depth_seg - init_lora_weights: true - input_caption_key: ai_caption - input_data_key: video - input_image_key: images - lora_alpha: 32 - lora_rank: 32 - lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2 - max_num_conditional_frames: 2 - min_num_conditional_frames: 0 - net: - _target_: - adaln_lora_dim: '256' - atten_backend: minimal_a2a - concat_padding_mask: 'True' - condition_strategy: spaced - crossattn_emb_channels: '1024' - crossattn_proj_in_channels: '100352' - extra_per_block_abs_pos_emb: 'False' - in_channels: '16' - max_frames: '128' - max_img_h: '240' - max_img_w: '240' - mlp_ratio: '4.0' - model_channels: '2048' - num_blocks: '28' - num_control_branches: '4' - num_heads: '16' - num_max_modalities: '8' - out_channels: '16' - patch_spatial: '2' - patch_temporal: '1' - pos_emb_cls: rope3d - pos_emb_interpolation: crop - pos_emb_learnable: 'True' - rope_enable_fps_modulation: 'False' - rope_h_extrapolation_ratio: '3.0' - rope_t_extrapolation_ratio: '1.0' - rope_w_extrapolation_ratio: '3.0' - sac_config: - every_n_blocks: 1 - mode: predict2_2b_720_aggressive - separate_embedders: 'False' - spatial_compression_factor: '8' - timestep_scale: '0.001' - use_adaln_lora: 'True' - use_after_proj_for_multi_branch: 'False' - use_crossattn_projection: 'True' - use_cuda_graphs: 'False' - use_input_hint_block: 'False' - use_wan_fp32_strategy: 'True' - vace_block_every_n: '7' - vace_has_mask: 'False' - precision: bfloat16 - resolution: '720' - shift: 5 - state_ch: 16 - state_t: 24 - text_encoder_class: reason1p1_7B - text_encoder_config: - ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/ - compute_online: true - embedding_concat_strategy: full_concat - model_config: - _target_: - model_config: - _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig - activation_checkpoint: - mode: selective - models: vlm - selective_ac_option: op - add_answer_tag: 'True' - add_cross_attention: 'False' - add_image_start_end_tag: 'False' - add_tile_tag: 'False' - architectures: - - Qwen2_5_VLForConditionalGeneration - attention_dropout: '0.0' - attn_implementation: flash_attention_2 - attn_implementation_autoset: 'True' - aux_loss_coeff: '0.0' - bad_words_ids: null - begin_suppress_tokens: null - bos_token_id: '151643' - cache_dir: null - checkpoint: - async_mode: disabled - create_seed_checkpoint: false - enable_checkpoint: false - export_dtype: float32 - folder: checkpoint - interval: 500 - interval_type: steps - model_weights_only: false - chunk_size_feed_forward: '0' - ckpt_dir: null - ckpt_path: null - comm: - init_timeout_seconds: 300 - trace_buf_size: 20000 - train_timeout_seconds: 100 - cp_size: null - cross_attention_hidden_size: null - decoder_start_token_id: null - deterministic: 'False' - diversity_penalty: '0.0' - do_sample: 'False' - early_stopping: 'False' - encoder_no_repeat_ngram_size: '0' - eos_token_id: '151645' - ep_size: null - experimental: - enable_async_tensor_parallel: false - enable_compiled_autograd: false - pipeline_parallel_degree: 1 - exponential_decay_length_penalty: null - finetuning_task: null - float8: - enable_float8_linear: false - forced_bos_token_id: null - forced_eos_token_id: null - freeze_llm: 'False' - freeze_mm_projector: 'False' - freeze_vision_encoder: 'False' - fsdp_enabled: 'False' - hidden_act: silu - hidden_size: '3584' - id2label: - 0: LABEL_0 - 1: LABEL_1 - image_token_id: '151655' - initializer_range: '0.02' - intermediate_size: '18944' - is_decoder: 'False' - is_encoder_decoder: 'False' - label2id: - LABEL_0: '0' - LABEL_1: '1' - length_penalty: '1.0' - loss_per_token: 'True' - max_batch_size: '1' - max_length: '20' - max_position_embeddings: '128000' - max_seq_len: '128000' - max_window_layers: '28' - min_length: '0' - mm_projector: null - model_type: qwen2_5_vl - name_or_path: Qwen/Qwen2.5-VL-7B-Instruct - no_repeat_ngram_size: '0' - num_attention_heads: '28' - num_beam_groups: '1' - num_beams: '1' - num_hidden_layers: '28' - num_key_value_heads: '4' - num_return_sequences: '1' - num_tiles: '1' - optimizer: - early_step_in_backward: false - end_lr: 2.5e-05 - fused: false - init_lr: 1.0e-05 - lr: 0.0003 - lr_multiplier_llm: 1.0 - lr_multiplier_mm_projector: 1.0 - lr_multiplier_vision_encoder: 0.1 - name: AdamW - output_attentions: 'False' - output_hidden_states: 'True' - output_scores: 'False' - pad_token_id: null - precision: bfloat16 - prefix: null - prepend_padding: 'False' - problem_type: null - pruned_heads: _Nothing.NOTHING - remove_invalid_values: 'False' - repetition_penalty: '1.0' - return_dict: 'True' - return_dict_in_generate: 'False' - rms_norm_eps: 1e-06 - rope_scaling: - mrope_section: - - '16' - - '24' - - '24' - rope_type: default - type: default - rope_theta: '1000000.0' - s3_credential_path: credentials/pbss_dir.secret - seed: '0' - sep_token_id: null - sliding_window: '32768' - suppress_tokens: null - task_specific_params: null - temperature: '1.0' - tf_legacy_loss: 'False' - tie_encoder_decoder: 'False' - tie_word_embeddings: 'False' - tile_tag_type: space_separated - tokenizer_class: null - tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct - top_k: '50' - top_p: '1.0' - torch_dtype: bfloat16 - torchscript: 'False' - training: - compile: false - context_parallel_degree: 1 - data_parallel_replicate_degree: 1 - data_parallel_shard_degree: -1 - disable_loss_parallel: false - enable_cpu_offload: false - fsdp_reshard_after_forward: default - mixed_precision_param: bfloat16 - mixed_precision_reduce: float32 - steps: 400000 - tensor_parallel_degree: 1 - use_cosine_decay: false - use_linear_decay: true - warmup_steps: 1000 - training_seq_len: '4096' - transformers_version: 4.51.0.dev0 - typical_p: '1.0' - use_bfloat16: 'False' - use_cache: 'False' - use_fsdp2: 'True' - use_return_dict: 'True' - use_rope_from_torchtitan: 'False' - use_sliding_window: 'False' - video_token_id: '151656' - vision_config: - _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig - add_cross_attention: 'False' - architectures: null - attn_implementation: flash_attention_2 - attn_implementation_autoset: 'True' - bad_words_ids: null - begin_suppress_tokens: null - bos_token_id: null - chunk_size_feed_forward: '0' - cross_attention_hidden_size: null - decoder_start_token_id: null - depth: '32' - diversity_penalty: '0.0' - do_sample: 'False' - early_stopping: 'False' - embed_dim: null - encoder_no_repeat_ngram_size: '0' - eos_token_id: null - exponential_decay_length_penalty: null - finetuning_task: null - forced_bos_token_id: null - forced_eos_token_id: null - fullatt_block_indexes: - - '7' - - '15' - - '23' - - '31' - hidden_act: silu - hidden_size: '1280' - id2label: - 0: LABEL_0 - 1: LABEL_1 - in_channels: '3' - in_chans: '3' - intermediate_size: '3420' - is_decoder: 'False' - is_encoder_decoder: 'False' - label2id: - LABEL_0: '0' - LABEL_1: '1' - length_penalty: '1.0' - max_length: '20' - min_length: '0' - mlp_ratio: null - model_type: qwen2_5_vl - name_or_path: '' - no_repeat_ngram_size: '0' - num_beam_groups: '1' - num_beams: '1' - num_heads: '16' - num_return_sequences: '1' - out_hidden_size: '3584' - output_attentions: 'False' - output_hidden_states: 'False' - output_scores: 'False' - pad_token_id: null - patch_size: '14' - prefix: null - problem_type: null - pruned_heads: _Nothing.NOTHING - remove_invalid_values: 'False' - repetition_penalty: '1.0' - return_dict: 'True' - return_dict_in_generate: 'False' - sep_token_id: null - spatial_merge_size: '2' - spatial_patch_size: '14' - suppress_tokens: null - task_specific_params: null - temperature: '1.0' - temporal_patch_size: '2' - tf_legacy_loss: 'False' - tie_encoder_decoder: 'False' - tie_word_embeddings: 'True' - tokenizer_class: null - tokens_per_second: '2' - top_k: '50' - top_p: '1.0' - torch_dtype: bfloat16 - torchscript: 'False' - typical_p: '1.0' - use_bfloat16: 'False' - window_size: '112' - vision_encoder: openai/clip-vit-base-patch32 - vision_encoder_config: - depth_init: true - dim: 1024 - ffn_dim_multiplier: null - head_dim: null - hidden_act: null - hidden_dim: 4096 - image_size: 1024 - image_token_id: null - multiple_of: null - n_heads: 16 - n_kv_heads: null - n_layers: 24 - norm_eps: 1.0e-05 - norm_type: rmsnorm - num_channels: 3 - patch_size: 16 - proj_bias: null - qkv_bias: null - rope_theta: 10000.0 - use_cache: false - use_rope_from_torchtitan: false - vision_encoder_in_channels: '3' - vision_end_token_id: '151653' - vision_start_token_id: '151652' - vision_token_id: '151654' - vocab_size: '152064' - z_loss_coeff: '0.0' - tokenizer: - _target_: - cache_dir: null - tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct - n_layers_per_group: 5 - s3_credential_path: credentials/s3_checkpoint.secret - tokenizer: - _target_: - chunk_duration: '81' - load_mean_std: 'False' - name: wan2pt1_tokenizer - temporal_window: '16' - train_time_distribution: logitnormal - train_time_weight: reweighting - use_dora: false - use_dynamic_shift: false - use_high_sigma_strategy: false - use_kerras_sigma_at_inference: false - use_lora: false - use_reference_image: false - use_torch_compile: false -model_parallel: - _cpu_offloading_context: null - async_tensor_model_parallel_allreduce: false - autocast_dtype: torch.float32 - barrier_with_L1_time: true - batch_p2p_comm: true - batch_p2p_sync: true - bf16: false - context_parallel_size: 8 - cpu_offloading: false - cpu_offloading_activations: true - cpu_offloading_double_buffering: false - cpu_offloading_num_layers: 0 - cpu_offloading_weights: true - cross_entropy_fusion_impl: native - cross_entropy_loss_fusion: false - deallocate_pipeline_outputs: false - defer_embedding_wgrad_compute: false - delay_wgrad_compute: false - deterministic_mode: false - enable_autocast: false - expert_model_parallel_size: 1 - expert_tensor_parallel_size: 1 - finalize_model_grads_func: null - fp16: false - grad_scale_func: null - grad_sync_func: null - gradient_accumulation_fusion: false - hierarchical_context_parallel_sizes: null - microbatch_group_size_per_vp_stage: 1 - moe_extended_tp: false - no_sync_func: null - num_microbatches_with_partial_activation_checkpoints: null - overlap_moe_expert_parallel_comm: false - overlap_p2p_comm: false - overlap_p2p_comm_warmup_flush: false - param_sync_func: null - params_dtype: torch.float32 - perform_initialization: true - pipeline_dtype: null - pipeline_model_parallel_comm_backend: null - pipeline_model_parallel_size: 1 - sequence_parallel: false - tensor_model_parallel_size: 1 - timers: null - tp_comm_atomic_ag: false - tp_comm_atomic_rs: false - tp_comm_bootstrap_backend: nccl - tp_comm_bulk_dgrad: true - tp_comm_bulk_wgrad: true - tp_comm_overlap: false - tp_comm_overlap_ag: true - tp_comm_overlap_disable_fc1: false - tp_comm_overlap_disable_qkv: false - tp_comm_overlap_rs: true - tp_comm_overlap_rs_dgrad: false - tp_comm_split_ag: true - tp_comm_split_rs: true - use_cpu_initialization: false - use_ring_exchange_p2p: false - use_te_rng_tracker: false - variable_seq_lengths: false - virtual_pipeline_model_parallel_size: null - wgrad_deferral_limit: 0 -optimizer: - _target_: - betas: - - '0.9' - - '0.999' - eps: 1e-08 - fused: 'True' - lr: '8.63e-05' - model: null - optim_type: adamw - weight_decay: '0.001' -scheduler: - _target_: - cycle_lengths: - - '100000' - f_max: - - '0.5' - f_min: - - '0.2' - f_start: - - 1e-06 - verbosity_interval: '0' - warm_up_steps: - - '100' -trainer: - callbacks: - compile_tokenizer: - _target_: - compile_after_iterations: '4' - dynamic: 'False' - enabled: 'True' - dataloader_speed: - _target_: - every_n: '200' - save_s3: 'True' - step_size: '1' - device_monitor: - _target_: - every_n: '200' - log_memory_detail: 'True' - save_s3: 'True' - step_size: '1' - upload_every_n_mul: '10' - every_n_sample_ema: - _target_: - every_n: '5000' - fix_batch_fp: null - fps: '16' - guidance: - - '0' - - '3' - - '7' - is_ema: 'True' - is_sample: 'True' - is_x0: 'False' - n_sample_to_save: '128' - n_viz_sample: '3' - n_x0_level: '4' - num_sampling_step: '35' - save_s3: 'True' - show_all_frames: 'False' - step_size: '1' - use_negative_prompt: 'False' - every_n_sample_reg: - _target_: - every_n: '5000' - fix_batch_fp: null - fps: '16' - guidance: - - '0' - - '3' - - '7' - is_ema: 'False' - is_sample: 'True' - is_x0: 'False' - n_sample_to_save: '128' - n_viz_sample: '3' - n_x0_level: '4' - num_sampling_step: '35' - save_s3: 'True' - show_all_frames: 'False' - step_size: '1' - use_negative_prompt: 'False' - frame_loss_log: - _target_: - logging_iter_multipler: '1' - save_logging_iter_multipler: '10' - save_s3: 'True' - grad_clip: - _target_: - clip_norm: '0.1' - force_finite: 'True' - heart_beat: - _target_: - every_n: '10' - save_s3: 'True' - step_size: '1' - update_interval_in_minute: '20' - iter_speed: - _target_: - every_n: '100' - hit_thres: '300' - save_s3: 'True' - save_s3_every_log_n: '10' - load_base_model: - _target_: - config: null - trainer: null - low_prec: - _target_: - config: null - trainer: null - update_iter: '1' - manual_gc: - _target_: - every_n: '200' - warm_up: '5' - wandb: - _target_: - logging_iter_multipler: '1' - save_logging_iter_multipler: '10' - save_s3: 'True' - wandb_10x: - _target_: - logging_iter_multipler: '10' - save_logging_iter_multipler: '1' - save_s3: 'True' - compile_config: - recompile_limit: '8' - use_duck_shape: 'True' - cudnn: - benchmark: 'True' - deterministic: 'False' - ddp: - broadcast_buffers: 'True' - find_unused_parameters: 'False' - static_graph: 'True' - distributed_parallelism: fsdp - grad_accum_iter: '1' - grad_scaler_args: - enabled: 'False' - logging_iter: '200' - max_iter: '100000' - max_val_iter: null - memory_format: torch.preserve_format - profiling: - enable_memory_snapshot: 'False' - enable_profiling: 'False' - profile_freq: '1' - profile_memory: 'False' - record_shape: 'False' - save_s3: 'False' - target_ranks: - - '0' - - '1' - - '2' - - '3' - - '4' - - '5' - - '6' - - '7' - with_modules: 'True' - with_stack: 'True' - run_validation: 'False' - run_validation_on_start: 'False' - seed: '0' - straggler_detection: - analyze_backward: 'True' - analyze_dataloading: 'True' - analyze_forward: 'True' - analyze_optimizer: 'True' - enabled: 'True' - max_diff: '1.5' - profile_freq: '1' - raise_error: 'True' - report_freq: '100' - timeout_period: '999999999' - type: - validation_iter: '100' -upload_reproducible_setup: 'True' diff --git a/multicontrol_edgecompare_grid/sunny/background/hybrid/console.log b/multicontrol_edgecompare_grid/sunny/background/hybrid/console.log deleted file mode 100644 index 1fde851fea158acaf55ef92f769c4408850433f9..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/hybrid/console.log +++ /dev/null @@ -1,13 +0,0 @@ -[06-26 07:13:50|INFO|cosmos_transfer2/inference.py:146:__init__] Found 3 hint keys across all samples -[06-26 07:13:50|WARNING|cosmos_transfer2/inference.py:148:__init__] Loading the multicontrol model. Multicontrol inference is not strictly equal to single control -[06-26 07:13:50|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/hybrid/config.yaml -[06-26 07:13:50|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_background_hybrid'] -[06-26 07:13:50|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_background_hybrid -[06-26 07:13:50|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid.json -[06-26 07:13:50|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled -[06-26 07:13:50|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4', 'edge_mask': None, 'edge_mask_prompt': None, 'vis': None, 'vis_mask': None, 'vis_mask_prompt': None, 'seg': '/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/semseg_front.mp4', 'seg_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_masks/sunny/background_mask.mp4', 'seg_mask_prompt': None} -[06-26 07:26:51|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid_control_edge.mp4 -[06-26 07:26:53|INFO|cosmos_transfer2/inference.py:311:_generate_sample] vis control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid_control_vis.mp4 -[06-26 07:26:54|INFO|cosmos_transfer2/inference.py:311:_generate_sample] seg control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid_control_seg.mp4 -[06-26 07:26:54|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled -[06-26 07:26:56|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid.mp4 diff --git a/multicontrol_edgecompare_grid/sunny/background/hybrid/debug.log b/multicontrol_edgecompare_grid/sunny/background/hybrid/debug.log deleted file mode 100644 index a625b01eb01f471a4150ad83a9429050863cf6e0..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/hybrid/debug.log +++ /dev/null @@ -1,33584 +0,0 @@ -[06-26 07:13:03|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False) -[06-26 07:13:05|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser -[06-26 07:13:05|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser -[06-26 07:13:26|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:] for the back comptiable pytorch! New DefaultLoadPlanner class is created. -[06-26 07:13:27|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:] for the back comptiable pytorch! New DefaultLoadPlanner class is created. -[06-26 07:13:28|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/hybrid') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer= enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge', 'vis', 'seg']) -[06-26 07:13:28|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1... -[06-26 07:13:28|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2... -[06-26 07:13:28|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor... -[06-26 07:13:28|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control... -[06-26 07:13:28|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control... -[06-26 07:13:28|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control... -[06-26 07:13:28|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context... -[06-26 07:13:28|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input... -[06-26 07:13:28|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets... -[06-26 07:13:28|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found. -[06-26 07:13:28|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9. -[06-26 07:13:28|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment -[06-26 07:13:28|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore -[06-26 07:13:28|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale -[06-26 07:13:28|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit -[06-26 07:13:28|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list -[06-26 07:13:28|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av -[06-26 07:13:28|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore -[06-26 07:13:28|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale -[06-26 07:13:28|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list -[06-26 07:13:28|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments -[06-26 07:13:28|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot -[06-26 07:13:28|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example -[06-26 07:13:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview -[06-26 07:13:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example -[06-26 07:13:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview -[06-26 07:13:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example -[06-26 07:13:29|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 -[06-26 07:13:29|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0. -[06-26 07:13:29|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 -[06-26 07:13:29|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16 -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8) -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth -[06-26 07:13:30|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 0.66 s -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: - ReMapkey - input key: fps - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: fps - Dtype: None -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: - ReMapkey - input key: padding_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: padding_mask - Dtype: None -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: - TextAttr - input key: ['t5_text_embeddings'] - Param count: 0 - Trainable: None - Dropout rate: 0.2 - Output key: [crossattn_emb] -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: - BooleanFlag - input key: fps - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: use_video_condition - This is a boolean flag -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: - ReMapkey - input key: control_input_edge - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_edge - Dtype: None -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: - ReMapkey - input key: control_input_vis - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_vis - Dtype: None -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: - ReMapkey - input key: control_input_depth - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_depth - Dtype: None -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: - ReMapkey - input key: control_input_seg - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_seg - Dtype: None -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: - ReMapkey - input key: control_input_inpaint - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_inpaint - Dtype: None -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: - ReMapkey - input key: control_input_edge_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_edge_mask - Dtype: None -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: - ReMapkey - input key: control_input_vis_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_vis_mask - Dtype: None -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: - ReMapkey - input key: control_input_depth_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_depth_mask - Dtype: None -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: - ReMapkey - input key: control_input_seg_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_seg_mask - Dtype: None -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: - ReMapkey - input key: control_input_inpaint_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_inpaint_mask - Dtype: None -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag: True. We enable bias if no AdaLN LoRA for backward compatibility. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26 -[06-26 07:13:30|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27 -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:30|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:13:31|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 07:13:31|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.17 s -[06-26 07:13:31|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 1.50 s -[06-26 07:13:31|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 1.51 s -[06-26 07:13:31|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 1.51 s -[06-26 07:13:31|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] -Freezing base model - -[06-26 07:13:31|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint. -[06-26 07:13:31|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block -[06-26 07:13:31|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block -[06-26 07:13:31|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block -[06-26 07:13:31|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block -[06-26 07:13:31|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model... -[06-26 07:13:31|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70) -[06-26 07:13:32|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache -[06-26 07:13:32|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16 -[06-26 07:13:32|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32 -[06-26 07:13:32|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/. -[06-26 07:13:32|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f) -[06-26 07:13:39|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423. -[06-26 07:13:39|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated -[06-26 07:13:39|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT( - (x_embedder): PatchEmbed( - (proj): Sequential( - (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2) - (1): Linear(in_features=72, out_features=2048, bias=False) - ) - ) - (pos_embedder): VideoRopePosition3DEmb() - (t_embedder): Sequential( - (0): Timesteps() - (1): TimestepEmbedding( - (linear_1): Linear(in_features=2048, out_features=2048, bias=False) - (activation): SiLU() - (linear_2): Linear(in_features=2048, out_features=6144, bias=False) - ) - ) - (blocks): ModuleList( - (0-27): 28 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlAwareDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - ) - ) - ) - (final_layer): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): FinalLayer( - (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (linear): Linear(in_features=2048, out_features=64, bias=False) - (adaln_modulation): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=4096, bias=False) - ) - ) - ) - ) - ) - ) - ) - ) - (t_embedding_norm): RMSNorm() - (crossattn_proj): Sequential( - (0): Linear(in_features=100352, out_features=1024, bias=True) - (1): GELU(approximate='none') - ) - (control_embedder): ModuleList( - (0-3): 4 x PatchEmbed( - (proj): Sequential( - (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2) - (1): Linear(in_features=520, out_features=2048, bias=False) - ) - ) - ) - (control_blocks_0): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) - (control_blocks_1): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) - (control_blocks_2): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) - (control_blocks_3): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) -) -[06-26 07:13:39|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 9.57 s -[06-26 07:13:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125) -[06-26 07:13:39|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt -[06-26 07:13:41|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:41|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['control_embedder.0.proj.1.weight', 'control_embedder.1.proj.1.weight', 'control_embedder.2.proj.1.weight', 'control_embedder.3.proj.1.weight', 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-[06-26 07:13:41|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True). -[06-26 07:13:41|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125) -[06-26 07:13:41|CRITICAL|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:694:load_multi_branch_checkpoints] Start loading checkpoint for control branch 0 from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt -[06-26 07:13:43|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:733:load_multi_branch_checkpoints] Checkpoint to model keys: {'net.accum_video_sample_counter': tensor(4575657222473777152), 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'net.control_blocks_0.3.adaln_modulation_cross_attn.1.weight': tensor([[-7.9102e-02, -7.6172e-02, -7.4707e-02, ..., -1.0252e-04, - -1.1730e-04, -1.0729e-04], - [ 3.0029e-02, 2.9297e-02, 2.8809e-02, ..., 9.4995e-07, - 2.6345e-05, 1.4687e-04], - [ 2.8442e-02, 2.7710e-02, 2.6489e-02, ..., 2.7466e-04, - 2.9755e-04, 2.0504e-04], - ..., - [ 6.4453e-02, 6.2988e-02, 6.2012e-02, ..., -1.8978e-04, - -1.8406e-04, -1.1444e-04], - [ 6.6895e-02, 6.4453e-02, 6.2988e-02, ..., -1.7643e-04, - -1.1778e-04, -1.6403e-04], - [-3.6133e-02, -3.5156e-02, -3.4424e-02, ..., -5.2929e-05, - 9.9659e-05, 1.2112e-04]], dtype=torch.bfloat16), 'net.control_blocks_0.3.adaln_modulation_cross_attn.2.weight': tensor([[-0.0038, -0.0112, -0.0028, ..., 0.0201, 0.0288, 0.0041], - [ 0.0071, -0.0090, 0.0116, ..., 0.0005, 0.0060, -0.0019], - [ 0.0011, -0.0026, 0.0036, ..., -0.0082, -0.0055, -0.0093], - ..., - [-0.0141, 0.0030, 0.0330, ..., 0.0052, 0.0139, 0.0052], - [-0.0225, 0.0114, 0.0369, ..., 0.0081, 0.0171, -0.0190], - [ 0.0266, -0.0216, 0.0052, ..., -0.0014, 0.0077, 0.0055]], - dtype=torch.bfloat16), 'net.control_blocks_0.3.adaln_modulation_mlp.1.weight': tensor([[-8.9844e-02, -8.6426e-02, -8.3984e-02, ..., 1.8787e-04, - 3.0899e-04, 2.5368e-04], - [ 2.2461e-02, 2.0264e-02, 1.9409e-02, ..., 1.8787e-04, - 2.6894e-04, 2.6321e-04], - [-9.2285e-02, -9.0332e-02, -8.9844e-02, ..., -4.0245e-04, - -3.2806e-04, -3.6621e-04], - ..., - [-8.2031e-02, -8.0566e-02, -7.9102e-02, ..., 2.1076e-04, - 3.1471e-04, 2.1172e-04], - [-6.1279e-02, -5.9570e-02, -5.8594e-02, ..., 2.2888e-04, - 9.2506e-05, 1.0252e-04], - [ 7.9102e-02, 7.7637e-02, 7.6660e-02, ..., -1.7738e-04, - -2.0599e-04, -1.6880e-04]], dtype=torch.bfloat16), 'net.control_blocks_0.3.adaln_modulation_mlp.2.weight': tensor([[ 0.0023, 0.0038, 0.0038, ..., -0.0055, -0.0086, 0.0069], - [-0.0018, -0.0021, 0.0057, ..., -0.0016, 0.0037, 0.0015], - [-0.0010, 0.0045, -0.0019, ..., -0.0009, -0.0012, 0.0011], - ..., - [-0.0413, 0.0198, -0.0593, ..., -0.0295, -0.0106, 0.0225], - [ 0.0091, -0.0100, 0.0258, ..., 0.0067, 0.0037, -0.0063], - [ 0.0154, 0.0053, 0.0056, ..., 0.0135, 0.0070, -0.0107]], - dtype=torch.bfloat16), 'net.control_blocks_0.3.after_proj.weight': tensor([[-0.0056, 0.0069, 0.0043, ..., 0.0067, 0.0135, -0.0127], - [-0.0050, -0.0069, 0.0068, ..., -0.0057, 0.0049, -0.0186], - [ 0.0104, -0.0056, 0.0124, ..., 0.0151, 0.0187, 0.0063], - ..., - [-0.0077, -0.0034, 0.0146, ..., 0.0031, -0.0150, -0.0096], - [-0.0122, -0.0050, -0.0278, ..., -0.0188, 0.0081, -0.0032], - [-0.0042, 0.0045, 0.0044, ..., -0.0145, 0.0129, 0.0003]], - dtype=torch.bfloat16), 'net.control_blocks_0.3.after_proj.bias': tensor([ 0.0081, -0.0087, -0.0045, ..., -0.0044, -0.0139, -0.0038], - dtype=torch.bfloat16)} -[06-26 07:13:43|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping 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07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:43|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['control_embedder.1.proj.1.weight', 'control_embedder.2.proj.1.weight', 'control_embedder.3.proj.1.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 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07:13:45|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 07:13:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in 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Skipping key control_blocks_1.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 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0.0118, 0.0070, ..., 0.0121, 0.0072, -0.0096]], - dtype=torch.bfloat16), 'net.control_blocks_2.3.after_proj.weight': tensor([[ 2.8229e-03, 1.6724e-02, -1.8311e-02, ..., 7.8125e-03, - 3.9368e-03, -6.8970e-03], - [-8.4229e-03, -3.6316e-03, 7.6599e-03, ..., -9.5844e-05, - 1.6235e-02, -8.6060e-03], - [ 9.6436e-03, 4.3335e-03, -3.9978e-03, ..., 3.8452e-03, - 2.1820e-03, -7.6599e-03], - ..., - [ 1.7456e-02, 1.2329e-02, -5.0354e-03, ..., 7.7515e-03, - -6.1035e-03, 5.2795e-03], - [-6.2866e-03, 7.4463e-03, -3.2349e-03, ..., 1.0437e-02, - -3.9673e-03, 4.2419e-03], - [ 3.4332e-03, -1.4832e-02, -5.6458e-03, ..., 2.1362e-02, - -1.2268e-02, 8.9722e-03]], dtype=torch.bfloat16), 'net.control_blocks_2.3.after_proj.bias': tensor([ 0.0085, -0.0193, -0.0089, ..., -0.0041, -0.0183, 0.0126], - dtype=torch.bfloat16)} -[06-26 07:13:47|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:48|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['control_embedder.0.proj.1.weight', 'control_embedder.1.proj.1.weight', 'control_embedder.3.proj.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 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'control_blocks_2.3._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'control_blocks_2.3._checkpoint_wrapped_module.cross_attn.k_img_norm.weight'], incorrect_shapes=[]) -[06-26 07:13:48|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:735:load_multi_branch_checkpoints] Done loading the control branch 2 checkpoint. -[06-26 07:13:48|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/seg(5136ef49-6d8d-42e8-8abf-7dac722a304a) -[06-26 07:13:48|CRITICAL|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:694:load_multi_branch_checkpoints] Start loading checkpoint for control branch 3 from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/23057a4167b89de89a4a397fdbf3887994d115eb/general/seg/5136ef49-6d8d-42e8-8abf-7dac722a304a_ema_bf16.pt -[06-26 07:13:49|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:733:load_multi_branch_checkpoints] Checkpoint to model keys: {'net.accum_video_sample_counter': tensor(4575657222473777152), 'net.accum_image_sample_counter': tensor(4575657222473777152), 'net.accum_iteration': tensor(4575657222473777152), 'net.accum_train_in_hours': tensor(1., dtype=torch.bfloat16), 'net.x_embedder.proj.1.weight': tensor([[-0.0038, -0.0085, -0.0181, ..., 0.0075, -0.0039, -0.0038], - [ 0.0035, 0.0008, 0.0005, ..., -0.0284, 0.0127, -0.0237], - [ 0.0221, 0.0211, 0.0220, ..., -0.0183, 0.0103, 0.0027], - ..., - [ 0.0415, 0.0417, 0.0466, ..., 0.0079, -0.0136, 0.0092], - [ 0.0002, 0.0030, -0.0051, ..., -0.0566, -0.0515, -0.0825], - [-0.0140, -0.0126, -0.0109, ..., 0.0115, -0.0095, -0.0031]], - dtype=torch.bfloat16), 'net.pos_embedder.seq': tensor([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., - 12., 13., 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., - 24., 25., 26., 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-0.0047], - [ 0.0138, 0.0110, 0.0107, ..., 0.0124, 0.0065, -0.0101]], - dtype=torch.bfloat16), 'net.control_blocks_3.3.after_proj.weight': tensor([[ 0.0066, -0.0078, -0.0059, ..., -0.0055, 0.0026, -0.0152], - [ 0.0037, -0.0080, 0.0184, ..., -0.0098, -0.0061, -0.0095], - [ 0.0123, 0.0111, 0.0305, ..., 0.0052, 0.0048, -0.0076], - ..., - [ 0.0073, 0.0186, -0.0070, ..., 0.0038, -0.0143, -0.0076], - [-0.0108, -0.0059, -0.0055, ..., 0.0070, -0.0120, 0.0055], - [-0.0166, 0.0165, -0.0107, ..., -0.0049, 0.0009, 0.0073]], - dtype=torch.bfloat16), 'net.control_blocks_3.3.after_proj.bias': tensor([ 0.0026, -0.0143, -0.0110, ..., 0.0014, -0.0015, 0.0062], - dtype=torch.bfloat16)} -[06-26 07:13:49|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by 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blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:49|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:13:50|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['control_embedder.0.proj.1.weight', 'control_embedder.1.proj.1.weight', 'control_embedder.2.proj.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 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'control_blocks_3.3._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'control_blocks_3.3._checkpoint_wrapped_module.cross_attn.k_img_norm.weight'], incorrect_shapes=[]) -[06-26 07:13:50|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:735:load_multi_branch_checkpoints] Done loading the control branch 3 checkpoint. -[06-26 07:13:50|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled -[06-26 07:13:50|INFO|cosmos_transfer2/inference.py:146:__init__] Found 3 hint keys across all samples -[06-26 07:13:50|WARNING|cosmos_transfer2/inference.py:148:__init__] Loading the multicontrol model. Multicontrol inference is not strictly equal to single control -[06-26 07:13:50|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/hybrid/config.yaml -[06-26 07:13:50|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_background_hybrid'] -[06-26 07:13:50|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_background_hybrid -[06-26 07:13:50|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_background_hybrid' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. Beyond the junction the surroundings open onto a dense modern downtown of tall glass-and-steel skyscrapers and a distant city skyline under a clear sky. The road network with painted lane markings, stop lines and pedestrian crosswalks remains in the foreground, multiple vehicles move through the scene, and the camera follows the moving ego vehicle smoothly. Photorealistic, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Empty barren horizon, flat low-rise outskirts, blurry melted skyline, distorted warped buildings.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=BlurConfig(control_path=None, control_weight=0.6, mask_path=None, mask_prompt=None, preset_blur_strength='medium') seg=SegConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/semseg_front.mp4'), control_weight=0.4, mask_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_masks/sunny/background_mask.mp4'), mask_prompt=None, control_prompt=None) guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None) -[06-26 07:13:50|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid.json -[06-26 07:13:50|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled -[06-26 07:13:50|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4', 'edge_mask': None, 'edge_mask_prompt': None, 'vis': None, 'vis_mask': None, 'vis_mask_prompt': None, 'seg': '/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/semseg_front.mp4', 'seg_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_masks/sunny/background_mask.mp4', 'seg_mask_prompt': None} -[06-26 07:13:50|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video... -[06-26 07:13:50|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4 -[06-26 07:13:50|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 07:13:51|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings... -[06-26 07:13:51|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings... -[06-26 07:13:51|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available... -[06-26 07:13:51|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided. -[06-26 07:13:51|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs... -[06-26 07:13:51|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4 -[06-26 07:13:51|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 07:13:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:703:read_and_process_control_input] No vis (blur) control input file found, will compute online.. -[06-26 07:13:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/semseg_front.mp4 -[06-26 07:13:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 07:13:52|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_masks/sunny/background_mask.mp4 -[06-26 07:13:53|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 07:13:53|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2 -[06-26 07:14:05|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845 -[06-26 07:14:06|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY] -[06-26 07:20:35|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2 -[06-26 07:20:48|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774 -[06-26 07:20:48|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY] -[06-26 07:26:49|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 383.9086609198712 -[06-26 07:26:50|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 07:26:51|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid_control_edge.mp4 -[06-26 07:26:52|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 07:26:53|INFO|cosmos_transfer2/inference.py:311:_generate_sample] vis control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid_control_vis.mp4 -[06-26 07:26:53|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 07:26:54|INFO|cosmos_transfer2/inference.py:311:_generate_sample] seg control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid_control_seg.mp4 -[06-26 07:26:54|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled -[06-26 07:26:55|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 07:26:56|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid.mp4 diff --git a/multicontrol_edgecompare_grid/sunny/background/hybrid/spec.json b/multicontrol_edgecompare_grid/sunny/background/hybrid/spec.json deleted file mode 100644 index 5ac7e9a0ac55cb02b8590f5ebb73ad0692776937..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/hybrid/spec.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "name": "sunny_background_hybrid", - "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. Beyond the junction the surroundings open onto a dense modern downtown of tall glass-and-steel skyscrapers and a distant city skyline under a clear sky. The road network with painted lane markings, stop lines and pedestrian crosswalks remains in the foreground, multiple vehicles move through the scene, and the camera follows the moving ego vehicle smoothly. Photorealistic, high detail.", - "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4", - "guidance": 3, - "num_steps": 35, - "seed": 2025, - "edge": { - "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4", - "control_weight": 1.0 - }, - "seg": { - "control_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/semseg_front.mp4", - "control_weight": 0.4, - "mask_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_masks/sunny/background_mask.mp4" - }, - "vis": { - "control_weight": 0.6 - }, - "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Empty barren horizon, flat low-rise outskirts, blurry melted skyline, distorted warped buildings." -} \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid.json b/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid.json deleted file mode 100644 index 1de4aee0d85b7630675c1f39d1785073def780f7..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid.json +++ /dev/null @@ -1 +0,0 @@ -{"name":"sunny_background_hybrid","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. Beyond the junction the surroundings open onto a dense modern downtown of tall glass-and-steel skyscrapers and a distant city skyline under a clear sky. The road network with painted lane markings, stop lines and pedestrian crosswalks remains in the foreground, multiple vehicles move through the scene, and the camera follows the moving ego vehicle smoothly. Photorealistic, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Empty barren horizon, flat low-rise outskirts, blurry melted skyline, distorted warped buildings.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":{"control_path":null,"control_weight":0.6,"mask_path":null,"mask_prompt":null,"preset_blur_strength":"medium"},"seg":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/semseg_front.mp4","control_weight":0.4,"mask_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_masks/sunny/background_mask.mp4","mask_prompt":null,"control_prompt":null},"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null} \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid.mp4 b/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid.mp4 deleted file mode 100644 index ba6ff3d277bbea8b66d71d5b1f3e6c190f472cc2..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:9c7e7320178a3b0efd035df8a2e4eb093531c318393b017e8ce47e2471c7a4bb -size 739100 diff --git a/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid.txt b/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid.txt deleted file mode 100644 index 572f9d85061c89e01031ef58092fcf6f3758ae06..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid.txt +++ /dev/null @@ -1 +0,0 @@ -The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. Beyond the junction the surroundings open onto a dense modern downtown of tall glass-and-steel skyscrapers and a distant city skyline under a clear sky. The road network with painted lane markings, stop lines and pedestrian crosswalks remains in the foreground, multiple vehicles move through the scene, and the camera follows the moving ego vehicle smoothly. Photorealistic, high detail. \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid_control_edge.mp4 b/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid_control_edge.mp4 deleted file mode 100644 index 7c83c9975e329bdb864782bbfe30f99966758778..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid_control_edge.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:4f9c30826efca23d4963aa1e7b75ecd71bd7d93036028d729db3cf6cca212fb9 -size 3640682 diff --git a/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid_control_seg.mp4 b/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid_control_seg.mp4 deleted file mode 100644 index 733a6a809b55c3f4407f38707275c2d71e533957..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid_control_seg.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:7cf2e246115d6b29665356090b88064e26d2152af8be7b3fd5a30702e9d637bb -size 841159 diff --git a/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid_control_vis.mp4 b/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid_control_vis.mp4 deleted file mode 100644 index 34f0b6e199ee4029ebdfebc39c17fa0c9132a9f0..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/hybrid/sunny_background_hybrid_control_vis.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:282799a9e77adfeeb3c049be5c9a739ce7b15b57f4e9e386fb937053bde1d587 -size 293428 diff --git a/multicontrol_edgecompare_grid/sunny/background/semseg/config.yaml b/multicontrol_edgecompare_grid/sunny/background/semseg/config.yaml deleted file mode 100644 index 1422d1d393b988bacf0d1883f7909f147177d597..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/semseg/config.yaml +++ /dev/null @@ -1,825 +0,0 @@ -checkpoint: - broadcast_via_filesystem: 'False' - dcp_async_mode_enabled: 'False' - enable_gcs_patch_in_boto3: 'False' - jit: - device: cuda - dtype: bfloat16 - enabled: 'False' - input_shape: null - strict: 'True' - keys_not_to_resume: [] - keys_to_skip_loading: [] - load_ema_to_reg: 'False' - load_from_object_store: - bucket: bucket - credentials: credentials/s3_checkpoint.secret - enabled: 'True' - load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 - load_training_state: 'False' - only_load_scheduler_state: 'False' - save_iter: '1000' - save_to_object_store: - bucket: bucket - credentials: credentials/s3_checkpoint.secret - enabled: 'True' - strict_resume: 'False' - type: - _target_: - callbacks: null - disable_async: 'False' - verbose: 'True' -dataloader_train: - dataset: - augmentor_name: video_basic_augmentor_v2_with_control - caption_type: t2w_qwen2p5_7b - control_input_type: edge_vis_depth_segcolor - dataset_resolution_type: gt720p - embedding_type: null - max_fps_thres: '60' - min_fps_thres: '10' - num_video_frames: '93' - resolution: '720' - use_native_fps: 'True' - video_decoder_name: video_naive_bytes - num_workers: '4' -dataloader_val: - _target_: - dataloaders: - image_data: - dataloader: - _target_: - batch_size: '2' - cache_augment_fn: null - cache_replay_name: image_dataloader - cache_size: '32' - concat_size: '1' - dataset: - _target_: - len_t5: '512' - resolution: '512' - t5_dim: '1024' - num_workers: '8' - pin_memory: 'True' - shuffle: 'False' - use_cache: 'False' - webdataset: 'False' - ratio: '1' - video_data: - dataloader: - _target_: - batch_size: '1' - cache_augment_fn: null - cache_replay_name: video_dataloader - cache_size: '32' - concat_size: '1' - dataset: - _target_: - len_t5: '512' - num_video_frames: '136' - resolution: '512' - t5_dim: '1024' - num_workers: '8' - pin_memory: 'True' - shuffle: 'False' - use_cache: 'False' - webdataset: 'False' - ratio: '1' -defaults: -- _self_ -- data_train: mock -- data_val: mock -- optimizer: fusedadamw -- scheduler: lambdalinear -- model: ddp -- callbacks: basic -- net: null -- conditioner: video_prediction_control_conditioner -- ema: power -- tokenizer: wan2pt1_tokenizer -- checkpoint: s3 -- ckpt_type: dummy -- experiment: null -job: - cluster: null - group: vid2vid_2B_control - name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow - project: cosmos_transfer2 - wandb_mode: online -model: - _recursive_: 'False' - _target_: - config: - base_load_from: null - conditional_frame_timestep: -1.0 - conditional_frames_probs: - 0: 0.4 - 1: 0.4 - 2: 0.2 - conditioner: - _target_: - control_input_depth: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_depth - output_key: control_input_depth - control_input_depth_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_depth_mask - output_key: control_input_depth_mask - control_input_edge: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_edge - output_key: control_input_edge - control_input_edge_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_edge_mask - output_key: control_input_edge_mask - control_input_inpaint: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_inpaint - output_key: control_input_inpaint - control_input_inpaint_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_inpaint_mask - output_key: control_input_inpaint_mask - control_input_seg: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_seg - output_key: control_input_seg - control_input_seg_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_seg_mask - output_key: control_input_seg_mask - control_input_vis: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_vis - output_key: control_input_vis - control_input_vis_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_vis_mask - output_key: control_input_vis_mask - fps: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: fps - output_key: fps - padding_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: padding_mask - output_key: padding_mask - text: - _target_: - credential_path: credentials/s3_training.secret - dropout_rate: '0.2' - empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt - input_key: - - t5_text_embeddings - use_empty_string: 'False' - use_video_condition: - _target_: - dropout_rate: '0.0' - input_key: fps - output_key: use_video_condition - conditioning_strategy: frame_replace - copy_weight_strategy: first_n - denoise_replace_gt_frames: true - ema: - enabled: false - iteration_shift: 0 - rate: 0.1 - fsdp_shard_size: 1 - high_sigma_ratio: 0.05 - high_sigma_timesteps_max: 1000 - high_sigma_timesteps_min: 980 - hint_keys: edge_vis_depth_seg - init_lora_weights: true - input_caption_key: ai_caption - input_data_key: video - input_image_key: images - lora_alpha: 32 - lora_rank: 32 - lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2 - max_num_conditional_frames: 2 - min_num_conditional_frames: 0 - net: - _target_: - adaln_lora_dim: '256' - atten_backend: minimal_a2a - concat_padding_mask: 'True' - condition_strategy: spaced - crossattn_emb_channels: '1024' - crossattn_proj_in_channels: '100352' - extra_per_block_abs_pos_emb: 'False' - in_channels: '16' - max_frames: '128' - max_img_h: '240' - max_img_w: '240' - mlp_ratio: '4.0' - model_channels: '2048' - num_blocks: '28' - num_control_branches: '4' - num_heads: '16' - num_max_modalities: '8' - out_channels: '16' - patch_spatial: '2' - patch_temporal: '1' - pos_emb_cls: rope3d - pos_emb_interpolation: crop - pos_emb_learnable: 'True' - rope_enable_fps_modulation: 'False' - rope_h_extrapolation_ratio: '3.0' - rope_t_extrapolation_ratio: '1.0' - rope_w_extrapolation_ratio: '3.0' - sac_config: - every_n_blocks: 1 - mode: predict2_2b_720_aggressive - separate_embedders: 'False' - spatial_compression_factor: '8' - timestep_scale: '0.001' - use_adaln_lora: 'True' - use_after_proj_for_multi_branch: 'False' - use_crossattn_projection: 'True' - use_cuda_graphs: 'False' - use_input_hint_block: 'False' - use_wan_fp32_strategy: 'True' - vace_block_every_n: '7' - vace_has_mask: 'False' - precision: bfloat16 - resolution: '720' - shift: 5 - state_ch: 16 - state_t: 24 - text_encoder_class: reason1p1_7B - text_encoder_config: - ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/ - compute_online: true - embedding_concat_strategy: full_concat - model_config: - _target_: - model_config: - _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig - activation_checkpoint: - mode: selective - models: vlm - selective_ac_option: op - add_answer_tag: 'True' - add_cross_attention: 'False' - add_image_start_end_tag: 'False' - add_tile_tag: 'False' - architectures: - - Qwen2_5_VLForConditionalGeneration - attention_dropout: '0.0' - attn_implementation: flash_attention_2 - attn_implementation_autoset: 'True' - aux_loss_coeff: '0.0' - bad_words_ids: null - begin_suppress_tokens: null - bos_token_id: '151643' - cache_dir: null - checkpoint: - async_mode: disabled - create_seed_checkpoint: false - enable_checkpoint: false - export_dtype: float32 - folder: checkpoint - interval: 500 - interval_type: steps - model_weights_only: false - chunk_size_feed_forward: '0' - ckpt_dir: null - ckpt_path: null - comm: - init_timeout_seconds: 300 - trace_buf_size: 20000 - train_timeout_seconds: 100 - cp_size: null - cross_attention_hidden_size: null - decoder_start_token_id: null - deterministic: 'False' - diversity_penalty: '0.0' - do_sample: 'False' - early_stopping: 'False' - encoder_no_repeat_ngram_size: '0' - eos_token_id: '151645' - ep_size: null - experimental: - enable_async_tensor_parallel: false - enable_compiled_autograd: false - pipeline_parallel_degree: 1 - exponential_decay_length_penalty: null - finetuning_task: null - float8: - enable_float8_linear: false - forced_bos_token_id: null - forced_eos_token_id: null - freeze_llm: 'False' - freeze_mm_projector: 'False' - freeze_vision_encoder: 'False' - fsdp_enabled: 'False' - hidden_act: silu - hidden_size: '3584' - id2label: - 0: LABEL_0 - 1: LABEL_1 - image_token_id: '151655' - initializer_range: '0.02' - intermediate_size: '18944' - is_decoder: 'False' - is_encoder_decoder: 'False' - label2id: - LABEL_0: '0' - LABEL_1: '1' - length_penalty: '1.0' - loss_per_token: 'True' - max_batch_size: '1' - max_length: '20' - max_position_embeddings: '128000' - max_seq_len: '128000' - max_window_layers: '28' - min_length: '0' - mm_projector: null - model_type: qwen2_5_vl - name_or_path: Qwen/Qwen2.5-VL-7B-Instruct - no_repeat_ngram_size: '0' - num_attention_heads: '28' - num_beam_groups: '1' - num_beams: '1' - num_hidden_layers: '28' - num_key_value_heads: '4' - num_return_sequences: '1' - num_tiles: '1' - optimizer: - early_step_in_backward: false - end_lr: 2.5e-05 - fused: false - init_lr: 1.0e-05 - lr: 0.0003 - lr_multiplier_llm: 1.0 - lr_multiplier_mm_projector: 1.0 - lr_multiplier_vision_encoder: 0.1 - name: AdamW - output_attentions: 'False' - output_hidden_states: 'True' - output_scores: 'False' - pad_token_id: null - precision: bfloat16 - prefix: null - prepend_padding: 'False' - problem_type: null - pruned_heads: _Nothing.NOTHING - remove_invalid_values: 'False' - repetition_penalty: '1.0' - return_dict: 'True' - return_dict_in_generate: 'False' - rms_norm_eps: 1e-06 - rope_scaling: - mrope_section: - - '16' - - '24' - - '24' - rope_type: default - type: default - rope_theta: '1000000.0' - s3_credential_path: credentials/pbss_dir.secret - seed: '0' - sep_token_id: null - sliding_window: '32768' - suppress_tokens: null - task_specific_params: null - temperature: '1.0' - tf_legacy_loss: 'False' - tie_encoder_decoder: 'False' - tie_word_embeddings: 'False' - tile_tag_type: space_separated - tokenizer_class: null - tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct - top_k: '50' - top_p: '1.0' - torch_dtype: bfloat16 - torchscript: 'False' - training: - compile: false - context_parallel_degree: 1 - data_parallel_replicate_degree: 1 - data_parallel_shard_degree: -1 - disable_loss_parallel: false - enable_cpu_offload: false - fsdp_reshard_after_forward: default - mixed_precision_param: bfloat16 - mixed_precision_reduce: float32 - steps: 400000 - tensor_parallel_degree: 1 - use_cosine_decay: false - use_linear_decay: true - warmup_steps: 1000 - training_seq_len: '4096' - transformers_version: 4.51.0.dev0 - typical_p: '1.0' - use_bfloat16: 'False' - use_cache: 'False' - use_fsdp2: 'True' - use_return_dict: 'True' - use_rope_from_torchtitan: 'False' - use_sliding_window: 'False' - video_token_id: '151656' - vision_config: - _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig - add_cross_attention: 'False' - architectures: null - attn_implementation: flash_attention_2 - attn_implementation_autoset: 'True' - bad_words_ids: null - begin_suppress_tokens: null - bos_token_id: null - chunk_size_feed_forward: '0' - cross_attention_hidden_size: null - decoder_start_token_id: null - depth: '32' - diversity_penalty: '0.0' - do_sample: 'False' - early_stopping: 'False' - embed_dim: null - encoder_no_repeat_ngram_size: '0' - eos_token_id: null - exponential_decay_length_penalty: null - finetuning_task: null - forced_bos_token_id: null - forced_eos_token_id: null - fullatt_block_indexes: - - '7' - - '15' - - '23' - - '31' - hidden_act: silu - hidden_size: '1280' - id2label: - 0: LABEL_0 - 1: LABEL_1 - in_channels: '3' - in_chans: '3' - intermediate_size: '3420' - is_decoder: 'False' - is_encoder_decoder: 'False' - label2id: - LABEL_0: '0' - LABEL_1: '1' - length_penalty: '1.0' - max_length: '20' - min_length: '0' - mlp_ratio: null - model_type: qwen2_5_vl - name_or_path: '' - no_repeat_ngram_size: '0' - num_beam_groups: '1' - num_beams: '1' - num_heads: '16' - num_return_sequences: '1' - out_hidden_size: '3584' - output_attentions: 'False' - output_hidden_states: 'False' - output_scores: 'False' - pad_token_id: null - patch_size: '14' - prefix: null - problem_type: null - pruned_heads: _Nothing.NOTHING - remove_invalid_values: 'False' - repetition_penalty: '1.0' - return_dict: 'True' - return_dict_in_generate: 'False' - sep_token_id: null - spatial_merge_size: '2' - spatial_patch_size: '14' - suppress_tokens: null - task_specific_params: null - temperature: '1.0' - temporal_patch_size: '2' - tf_legacy_loss: 'False' - tie_encoder_decoder: 'False' - tie_word_embeddings: 'True' - tokenizer_class: null - tokens_per_second: '2' - top_k: '50' - top_p: '1.0' - torch_dtype: bfloat16 - torchscript: 'False' - typical_p: '1.0' - use_bfloat16: 'False' - window_size: '112' - vision_encoder: openai/clip-vit-base-patch32 - vision_encoder_config: - depth_init: true - dim: 1024 - ffn_dim_multiplier: null - head_dim: null - hidden_act: null - hidden_dim: 4096 - image_size: 1024 - image_token_id: null - multiple_of: null - n_heads: 16 - n_kv_heads: null - n_layers: 24 - norm_eps: 1.0e-05 - norm_type: rmsnorm - num_channels: 3 - patch_size: 16 - proj_bias: null - qkv_bias: null - rope_theta: 10000.0 - use_cache: false - use_rope_from_torchtitan: false - vision_encoder_in_channels: '3' - vision_end_token_id: '151653' - vision_start_token_id: '151652' - vision_token_id: '151654' - vocab_size: '152064' - z_loss_coeff: '0.0' - tokenizer: - _target_: - cache_dir: null - tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct - n_layers_per_group: 5 - s3_credential_path: credentials/s3_checkpoint.secret - tokenizer: - _target_: - chunk_duration: '81' - load_mean_std: 'False' - name: wan2pt1_tokenizer - temporal_window: '16' - train_time_distribution: logitnormal - train_time_weight: reweighting - use_dora: false - use_dynamic_shift: false - use_high_sigma_strategy: false - use_kerras_sigma_at_inference: false - use_lora: false - use_reference_image: false - use_torch_compile: false -model_parallel: - _cpu_offloading_context: null - async_tensor_model_parallel_allreduce: false - autocast_dtype: torch.float32 - barrier_with_L1_time: true - batch_p2p_comm: true - batch_p2p_sync: true - bf16: false - context_parallel_size: 8 - cpu_offloading: false - cpu_offloading_activations: true - cpu_offloading_double_buffering: false - cpu_offloading_num_layers: 0 - cpu_offloading_weights: true - cross_entropy_fusion_impl: native - cross_entropy_loss_fusion: false - deallocate_pipeline_outputs: false - defer_embedding_wgrad_compute: false - delay_wgrad_compute: false - deterministic_mode: false - enable_autocast: false - expert_model_parallel_size: 1 - expert_tensor_parallel_size: 1 - finalize_model_grads_func: null - fp16: false - grad_scale_func: null - grad_sync_func: null - gradient_accumulation_fusion: false - hierarchical_context_parallel_sizes: null - microbatch_group_size_per_vp_stage: 1 - moe_extended_tp: false - no_sync_func: null - num_microbatches_with_partial_activation_checkpoints: null - overlap_moe_expert_parallel_comm: false - overlap_p2p_comm: false - overlap_p2p_comm_warmup_flush: false - param_sync_func: null - params_dtype: torch.float32 - perform_initialization: true - pipeline_dtype: null - pipeline_model_parallel_comm_backend: null - pipeline_model_parallel_size: 1 - sequence_parallel: false - tensor_model_parallel_size: 1 - timers: null - tp_comm_atomic_ag: false - tp_comm_atomic_rs: false - tp_comm_bootstrap_backend: nccl - tp_comm_bulk_dgrad: true - tp_comm_bulk_wgrad: true - tp_comm_overlap: false - tp_comm_overlap_ag: true - tp_comm_overlap_disable_fc1: false - tp_comm_overlap_disable_qkv: false - tp_comm_overlap_rs: true - tp_comm_overlap_rs_dgrad: false - tp_comm_split_ag: true - tp_comm_split_rs: true - use_cpu_initialization: false - use_ring_exchange_p2p: false - use_te_rng_tracker: false - variable_seq_lengths: false - virtual_pipeline_model_parallel_size: null - wgrad_deferral_limit: 0 -optimizer: - _target_: - betas: - - '0.9' - - '0.999' - eps: 1e-08 - fused: 'True' - lr: '8.63e-05' - model: null - optim_type: adamw - weight_decay: '0.001' -scheduler: - _target_: - cycle_lengths: - - '100000' - f_max: - - '0.5' - f_min: - - '0.2' - f_start: - - 1e-06 - verbosity_interval: '0' - warm_up_steps: - - '100' -trainer: - callbacks: - compile_tokenizer: - _target_: - compile_after_iterations: '4' - dynamic: 'False' - enabled: 'True' - dataloader_speed: - _target_: - every_n: '200' - save_s3: 'True' - step_size: '1' - device_monitor: - _target_: - every_n: '200' - log_memory_detail: 'True' - save_s3: 'True' - step_size: '1' - upload_every_n_mul: '10' - every_n_sample_ema: - _target_: - every_n: '5000' - fix_batch_fp: null - fps: '16' - guidance: - - '0' - - '3' - - '7' - is_ema: 'True' - is_sample: 'True' - is_x0: 'False' - n_sample_to_save: '128' - n_viz_sample: '3' - n_x0_level: '4' - num_sampling_step: '35' - save_s3: 'True' - show_all_frames: 'False' - step_size: '1' - use_negative_prompt: 'False' - every_n_sample_reg: - _target_: - every_n: '5000' - fix_batch_fp: null - fps: '16' - guidance: - - '0' - - '3' - - '7' - is_ema: 'False' - is_sample: 'True' - is_x0: 'False' - n_sample_to_save: '128' - n_viz_sample: '3' - n_x0_level: '4' - num_sampling_step: '35' - save_s3: 'True' - show_all_frames: 'False' - step_size: '1' - use_negative_prompt: 'False' - frame_loss_log: - _target_: - logging_iter_multipler: '1' - save_logging_iter_multipler: '10' - save_s3: 'True' - grad_clip: - _target_: - clip_norm: '0.1' - force_finite: 'True' - heart_beat: - _target_: - every_n: '10' - save_s3: 'True' - step_size: '1' - update_interval_in_minute: '20' - iter_speed: - _target_: - every_n: '100' - hit_thres: '300' - save_s3: 'True' - save_s3_every_log_n: '10' - load_base_model: - _target_: - config: null - trainer: null - low_prec: - _target_: - config: null - trainer: null - update_iter: '1' - manual_gc: - _target_: - every_n: '200' - warm_up: '5' - wandb: - _target_: - logging_iter_multipler: '1' - save_logging_iter_multipler: '10' - save_s3: 'True' - wandb_10x: - _target_: - logging_iter_multipler: '10' - save_logging_iter_multipler: '1' - save_s3: 'True' - compile_config: - recompile_limit: '8' - use_duck_shape: 'True' - cudnn: - benchmark: 'True' - deterministic: 'False' - ddp: - broadcast_buffers: 'True' - find_unused_parameters: 'False' - static_graph: 'True' - distributed_parallelism: fsdp - grad_accum_iter: '1' - grad_scaler_args: - enabled: 'False' - logging_iter: '200' - max_iter: '100000' - max_val_iter: null - memory_format: torch.preserve_format - profiling: - enable_memory_snapshot: 'False' - enable_profiling: 'False' - profile_freq: '1' - profile_memory: 'False' - record_shape: 'False' - save_s3: 'False' - target_ranks: - - '0' - - '1' - - '2' - - '3' - - '4' - - '5' - - '6' - - '7' - with_modules: 'True' - with_stack: 'True' - run_validation: 'False' - run_validation_on_start: 'False' - seed: '0' - straggler_detection: - analyze_backward: 'True' - analyze_dataloading: 'True' - analyze_forward: 'True' - analyze_optimizer: 'True' - enabled: 'True' - max_diff: '1.5' - profile_freq: '1' - raise_error: 'True' - report_freq: '100' - timeout_period: '999999999' - type: - validation_iter: '100' -upload_reproducible_setup: 'True' diff --git a/multicontrol_edgecompare_grid/sunny/background/semseg/console.log b/multicontrol_edgecompare_grid/sunny/background/semseg/console.log deleted file mode 100644 index 7db0df134df43530da291dccc9625b6cc310b1ed..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/semseg/console.log +++ /dev/null @@ -1,13 +0,0 @@ -[06-26 07:27:48|INFO|cosmos_transfer2/inference.py:146:__init__] Found 3 hint keys across all samples -[06-26 07:27:48|WARNING|cosmos_transfer2/inference.py:148:__init__] Loading the multicontrol model. Multicontrol inference is not strictly equal to single control -[06-26 07:27:48|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/semseg/config.yaml -[06-26 07:27:48|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_background_semseg'] -[06-26 07:27:48|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_background_semseg -[06-26 07:27:48|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg.json -[06-26 07:27:48|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled -[06-26 07:27:48|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4', 'edge_mask': None, 'edge_mask_prompt': None, 'vis': None, 'vis_mask': None, 'vis_mask_prompt': None, 'seg': '/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/semseg_front.mp4', 'seg_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_masks/sunny/background_mask.mp4', 'seg_mask_prompt': None} -[06-26 07:40:49|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg_control_edge.mp4 -[06-26 07:40:51|INFO|cosmos_transfer2/inference.py:311:_generate_sample] vis control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg_control_vis.mp4 -[06-26 07:40:52|INFO|cosmos_transfer2/inference.py:311:_generate_sample] seg control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg_control_seg.mp4 -[06-26 07:40:52|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled -[06-26 07:40:54|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg.mp4 diff --git a/multicontrol_edgecompare_grid/sunny/background/semseg/debug.log b/multicontrol_edgecompare_grid/sunny/background/semseg/debug.log deleted file mode 100644 index 396d20a11dbfc8216fec25749594e8798f9417e4..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/semseg/debug.log +++ /dev/null @@ -1,33584 +0,0 @@ -[06-26 07:27:01|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False) -[06-26 07:27:03|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser -[06-26 07:27:03|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser -[06-26 07:27:23|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:] for the back comptiable pytorch! New DefaultLoadPlanner class is created. -[06-26 07:27:24|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:] for the back comptiable pytorch! New DefaultLoadPlanner class is created. -[06-26 07:27:24|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/semseg') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer= enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge', 'vis', 'seg']) -[06-26 07:27:25|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1... -[06-26 07:27:25|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2... -[06-26 07:27:25|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor... -[06-26 07:27:25|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control... -[06-26 07:27:25|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control... -[06-26 07:27:25|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control... -[06-26 07:27:25|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context... -[06-26 07:27:25|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input... -[06-26 07:27:25|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets... -[06-26 07:27:25|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found. -[06-26 07:27:25|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9. -[06-26 07:27:25|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment -[06-26 07:27:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore -[06-26 07:27:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale -[06-26 07:27:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit -[06-26 07:27:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list -[06-26 07:27:25|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av -[06-26 07:27:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore -[06-26 07:27:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale -[06-26 07:27:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list -[06-26 07:27:25|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments -[06-26 07:27:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot -[06-26 07:27:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example -[06-26 07:27:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview -[06-26 07:27:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example -[06-26 07:27:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview -[06-26 07:27:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example -[06-26 07:27:26|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 -[06-26 07:27:26|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0. -[06-26 07:27:26|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 -[06-26 07:27:26|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16 -[06-26 07:27:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8) -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth -[06-26 07:27:27|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 0.67 s -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: - ReMapkey - input key: fps - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: fps - Dtype: None -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: - ReMapkey - input key: padding_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: padding_mask - Dtype: None -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: - TextAttr - input key: ['t5_text_embeddings'] - Param count: 0 - Trainable: None - Dropout rate: 0.2 - Output key: [crossattn_emb] -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: - BooleanFlag - input key: fps - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: use_video_condition - This is a boolean flag -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: - ReMapkey - input key: control_input_edge - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_edge - Dtype: None -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: - ReMapkey - input key: control_input_vis - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_vis - Dtype: None -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: - ReMapkey - input key: control_input_depth - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_depth - Dtype: None -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: - ReMapkey - input key: control_input_seg - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_seg - Dtype: None -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: - ReMapkey - input key: control_input_inpaint - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_inpaint - Dtype: None -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: - ReMapkey - input key: control_input_edge_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_edge_mask - Dtype: None -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: - ReMapkey - input key: control_input_vis_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_vis_mask - Dtype: None -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: - ReMapkey - input key: control_input_depth_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_depth_mask - Dtype: None -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: - ReMapkey - input key: control_input_seg_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_seg_mask - Dtype: None -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: - ReMapkey - input key: control_input_inpaint_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_inpaint_mask - Dtype: None -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag: True. We enable bias if no AdaLN LoRA for backward compatibility. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26 -[06-26 07:27:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27 -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 07:27:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 07:27:28|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.17 s -[06-26 07:27:28|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 1.49 s -[06-26 07:27:28|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 1.50 s -[06-26 07:27:28|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 1.50 s -[06-26 07:27:28|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] -Freezing base model - -[06-26 07:27:28|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint. -[06-26 07:27:28|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block -[06-26 07:27:28|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block -[06-26 07:27:28|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block -[06-26 07:27:28|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block -[06-26 07:27:28|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model... -[06-26 07:27:28|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70) -[06-26 07:27:29|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache -[06-26 07:27:29|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16 -[06-26 07:27:29|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32 -[06-26 07:27:29|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/. -[06-26 07:27:29|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f) -[06-26 07:27:36|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423. -[06-26 07:27:36|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated -[06-26 07:27:36|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT( - (x_embedder): PatchEmbed( - (proj): Sequential( - (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2) - (1): Linear(in_features=72, out_features=2048, bias=False) - ) - ) - (pos_embedder): VideoRopePosition3DEmb() - (t_embedder): Sequential( - (0): Timesteps() - (1): TimestepEmbedding( - (linear_1): Linear(in_features=2048, out_features=2048, bias=False) - (activation): SiLU() - (linear_2): Linear(in_features=2048, out_features=6144, bias=False) - ) - ) - (blocks): ModuleList( - (0-27): 28 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlAwareDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - ) - ) - ) - (final_layer): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): FinalLayer( - (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (linear): Linear(in_features=2048, out_features=64, bias=False) - (adaln_modulation): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=4096, bias=False) - ) - ) - ) - ) - ) - ) - ) - ) - (t_embedding_norm): RMSNorm() - (crossattn_proj): Sequential( - (0): Linear(in_features=100352, out_features=1024, bias=True) - (1): GELU(approximate='none') - ) - (control_embedder): ModuleList( - (0-3): 4 x PatchEmbed( - (proj): Sequential( - (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2) - (1): Linear(in_features=520, out_features=2048, bias=False) - ) - ) - ) - (control_blocks_0): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) - (control_blocks_1): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) - (control_blocks_2): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) - (control_blocks_3): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) -) -[06-26 07:27:36|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 9.74 s -[06-26 07:27:36|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125) -[06-26 07:27:36|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt -[06-26 07:27:38|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.9.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 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blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:38|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['control_embedder.0.proj.1.weight', 'control_embedder.1.proj.1.weight', 'control_embedder.2.proj.1.weight', 'control_embedder.3.proj.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks_0.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_0.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 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'blocks.26._checkpoint_wrapped_module.cross_attn.v_img.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_img.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_img_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_img.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.v_img.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_img.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_img_norm.weight', 'control_embedder.proj.1.weight'], incorrect_shapes=[]) -[06-26 07:27:38|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None -[06-26 07:27:38|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True). -[06-26 07:27:38|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125) -[06-26 07:27:38|CRITICAL|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:694:load_multi_branch_checkpoints] Start loading checkpoint for control branch 0 from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt -[06-26 07:27:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:733:load_multi_branch_checkpoints] Checkpoint to model keys: {'net.accum_video_sample_counter': tensor(4575657222473777152), 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dtype=torch.bfloat16), 'net.control_blocks_0.3.adaln_modulation_self_attn.1.weight': tensor([[-0.0469, -0.0464, -0.0449, ..., 0.0010, 0.0008, 0.0009], - [-0.0386, -0.0381, -0.0371, ..., 0.0027, 0.0027, 0.0027], - [-0.0400, -0.0391, -0.0376, ..., 0.0022, 0.0023, 0.0023], - ..., - [ 0.0381, 0.0371, 0.0359, ..., -0.0036, -0.0037, -0.0036], - [ 0.0327, 0.0317, 0.0306, ..., -0.0031, -0.0030, -0.0030], - [-0.0386, -0.0376, -0.0371, ..., 0.0022, 0.0024, 0.0024]], - dtype=torch.bfloat16), 'net.control_blocks_0.3.adaln_modulation_self_attn.2.weight': tensor([[ 0.0152, 0.0145, 0.0137, ..., 0.0220, 0.0248, 0.0148], - [ 0.0016, -0.0010, 0.0036, ..., 0.0025, 0.0036, 0.0003], - [-0.0003, -0.0022, -0.0009, ..., 0.0038, 0.0041, -0.0025], - ..., - [-0.0250, -0.0747, -0.0610, ..., 0.0364, 0.0369, -0.0679], - [ 0.0084, 0.0085, 0.0068, ..., 0.0199, 0.0176, 0.0087], - [ 0.0142, 0.0089, 0.0103, ..., 0.0192, 0.0216, 0.0101]], - dtype=torch.bfloat16), 'net.control_blocks_0.3.adaln_modulation_cross_attn.1.weight': tensor([[-7.9102e-02, -7.6172e-02, -7.4707e-02, ..., -1.0252e-04, - -1.1730e-04, -1.0729e-04], - [ 3.0029e-02, 2.9297e-02, 2.8809e-02, ..., 9.4995e-07, - 2.6345e-05, 1.4687e-04], - [ 2.8442e-02, 2.7710e-02, 2.6489e-02, ..., 2.7466e-04, - 2.9755e-04, 2.0504e-04], - ..., - [ 6.4453e-02, 6.2988e-02, 6.2012e-02, ..., -1.8978e-04, - -1.8406e-04, -1.1444e-04], - [ 6.6895e-02, 6.4453e-02, 6.2988e-02, ..., -1.7643e-04, - -1.1778e-04, -1.6403e-04], - [-3.6133e-02, -3.5156e-02, -3.4424e-02, ..., -5.2929e-05, - 9.9659e-05, 1.2112e-04]], dtype=torch.bfloat16), 'net.control_blocks_0.3.adaln_modulation_cross_attn.2.weight': tensor([[-0.0038, -0.0112, -0.0028, ..., 0.0201, 0.0288, 0.0041], - [ 0.0071, -0.0090, 0.0116, ..., 0.0005, 0.0060, -0.0019], - [ 0.0011, -0.0026, 0.0036, ..., -0.0082, -0.0055, -0.0093], - ..., - [-0.0141, 0.0030, 0.0330, ..., 0.0052, 0.0139, 0.0052], - [-0.0225, 0.0114, 0.0369, ..., 0.0081, 0.0171, -0.0190], - [ 0.0266, -0.0216, 0.0052, ..., -0.0014, 0.0077, 0.0055]], - dtype=torch.bfloat16), 'net.control_blocks_0.3.adaln_modulation_mlp.1.weight': tensor([[-8.9844e-02, -8.6426e-02, -8.3984e-02, ..., 1.8787e-04, - 3.0899e-04, 2.5368e-04], - [ 2.2461e-02, 2.0264e-02, 1.9409e-02, ..., 1.8787e-04, - 2.6894e-04, 2.6321e-04], - [-9.2285e-02, -9.0332e-02, -8.9844e-02, ..., -4.0245e-04, - -3.2806e-04, -3.6621e-04], - ..., - [-8.2031e-02, -8.0566e-02, -7.9102e-02, ..., 2.1076e-04, - 3.1471e-04, 2.1172e-04], - [-6.1279e-02, -5.9570e-02, -5.8594e-02, ..., 2.2888e-04, - 9.2506e-05, 1.0252e-04], - [ 7.9102e-02, 7.7637e-02, 7.6660e-02, ..., -1.7738e-04, - -2.0599e-04, -1.6880e-04]], dtype=torch.bfloat16), 'net.control_blocks_0.3.adaln_modulation_mlp.2.weight': tensor([[ 0.0023, 0.0038, 0.0038, ..., -0.0055, -0.0086, 0.0069], - [-0.0018, -0.0021, 0.0057, ..., -0.0016, 0.0037, 0.0015], - [-0.0010, 0.0045, -0.0019, ..., -0.0009, -0.0012, 0.0011], - ..., - [-0.0413, 0.0198, -0.0593, ..., -0.0295, -0.0106, 0.0225], - [ 0.0091, -0.0100, 0.0258, ..., 0.0067, 0.0037, -0.0063], - [ 0.0154, 0.0053, 0.0056, ..., 0.0135, 0.0070, -0.0107]], - dtype=torch.bfloat16), 'net.control_blocks_0.3.after_proj.weight': tensor([[-0.0056, 0.0069, 0.0043, ..., 0.0067, 0.0135, -0.0127], - [-0.0050, -0.0069, 0.0068, ..., -0.0057, 0.0049, -0.0186], - [ 0.0104, -0.0056, 0.0124, ..., 0.0151, 0.0187, 0.0063], - ..., - [-0.0077, -0.0034, 0.0146, ..., 0.0031, -0.0150, -0.0096], - [-0.0122, -0.0050, -0.0278, ..., -0.0188, 0.0081, -0.0032], - [-0.0042, 0.0045, 0.0044, ..., -0.0145, 0.0129, 0.0003]], - dtype=torch.bfloat16), 'net.control_blocks_0.3.after_proj.bias': tensor([ 0.0081, -0.0087, -0.0045, ..., -0.0044, -0.0139, -0.0038], - dtype=torch.bfloat16)} -[06-26 07:27:41|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping 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07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:41|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['control_embedder.1.proj.1.weight', 'control_embedder.2.proj.1.weight', 'control_embedder.3.proj.1.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_1.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_1.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks_1.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks_1.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks_1.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks_1.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks_1.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks_1.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks_1.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks_1.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_1.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_1.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_1.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_1.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_1.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_1.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_1.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_1.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_1.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_1.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_1.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_1.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_1.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_1.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks_1.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks_1.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks_1.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks_1.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks_1.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks_1.1._checkpoint_wrapped_module.after_proj.weight', 'control_blocks_1.1._checkpoint_wrapped_module.after_proj.bias', 'control_blocks_1.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_1.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_1.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_1.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_1.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_1.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_1.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_1.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_1.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_1.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_1.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_1.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_1.2._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_1.2._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_1.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks_1.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks_1.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks_1.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks_1.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks_1.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks_1.2._checkpoint_wrapped_module.after_proj.weight', 'control_blocks_1.2._checkpoint_wrapped_module.after_proj.bias', 'control_blocks_1.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_1.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_1.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_1.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_1.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_1.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_1.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 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'control_blocks_0.3._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'control_blocks_0.3._checkpoint_wrapped_module.cross_attn.k_img_norm.weight'], incorrect_shapes=[]) -[06-26 07:27:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:735:load_multi_branch_checkpoints] Done loading the control branch 0 checkpoint. -[06-26 07:27:41|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/blur(ba2f44f2-c726-4fe7-949f-597069d9b91c) -[06-26 07:27:41|CRITICAL|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:694:load_multi_branch_checkpoints] Start loading checkpoint for control branch 1 from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/eb5325b77d358944da58a690157dd2b8071bbf85/general/blur/ba2f44f2-c726-4fe7-949f-597069d9b91c_ema_bf16.pt -[06-26 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0.0139, 0.0045]], - dtype=torch.bfloat16), 'net.control_blocks_1.3.adaln_modulation_self_attn.1.weight': tensor([[-0.0413, -0.0408, -0.0405, ..., 0.0009, 0.0007, 0.0008], - [-0.0369, -0.0366, -0.0356, ..., 0.0026, 0.0027, 0.0027], - [-0.0334, -0.0332, -0.0320, ..., 0.0021, 0.0022, 0.0022], - ..., - [ 0.0244, 0.0234, 0.0225, ..., -0.0037, -0.0038, -0.0037], - [ 0.0134, 0.0123, 0.0115, ..., -0.0032, -0.0031, -0.0031], - [-0.0344, -0.0337, -0.0330, ..., 0.0022, 0.0023, 0.0024]], - dtype=torch.bfloat16), 'net.control_blocks_1.3.adaln_modulation_self_attn.2.weight': tensor([[ 0.0056, 0.0031, 0.0044, ..., 0.0063, 0.0090, 0.0045], - [-0.0028, -0.0012, -0.0015, ..., -0.0019, -0.0014, -0.0011], - [ 0.0024, -0.0069, -0.0049, ..., 0.0032, 0.0033, -0.0058], - ..., - [-0.0237, -0.0811, -0.0635, ..., 0.0327, 0.0332, -0.0723], - [-0.0161, -0.0140, -0.0139, ..., -0.0115, -0.0139, -0.0131], - [ 0.0098, 0.0067, 0.0069, ..., 0.0092, 0.0121, 0.0064]], - dtype=torch.bfloat16), 'net.control_blocks_1.3.adaln_modulation_cross_attn.1.weight': tensor([[-7.9102e-02, -7.6660e-02, -7.5195e-02, ..., -9.5844e-05, - -1.1110e-04, -1.0157e-04], - [ 3.0273e-02, 2.9785e-02, 2.9297e-02, ..., 2.5481e-06, - 2.8610e-05, 1.4877e-04], - [ 2.5391e-02, 2.4658e-02, 2.3682e-02, ..., 2.4796e-04, - 2.7084e-04, 1.7738e-04], - ..., - [ 5.1514e-02, 5.0293e-02, 4.9805e-02, ..., -1.8692e-04, - -1.8120e-04, -1.1349e-04], - [ 5.5176e-02, 5.3711e-02, 5.2246e-02, ..., -1.8311e-04, - -1.2207e-04, -1.7071e-04], - [-1.6235e-02, -1.5747e-02, -1.5503e-02, ..., -5.0306e-05, - 1.0109e-04, 1.2398e-04]], dtype=torch.bfloat16), 'net.control_blocks_1.3.adaln_modulation_cross_attn.2.weight': tensor([[-0.0034, -0.0053, -0.0033, ..., 0.0281, 0.0317, 0.0069], - [ 0.0040, -0.0044, 0.0056, ..., -0.0009, 0.0025, -0.0019], - [ 0.0025, -0.0038, 0.0039, ..., -0.0026, -0.0026, -0.0044], - ..., - [-0.0069, -0.0052, 0.0403, ..., 0.0016, 0.0123, -0.0041], - [-0.0302, 0.0184, 0.0298, ..., 0.0115, 0.0130, -0.0046], - [ 0.0261, -0.0206, 0.0040, ..., 0.0048, 0.0107, 0.0016]], - dtype=torch.bfloat16), 'net.control_blocks_1.3.adaln_modulation_mlp.1.weight': tensor([[-7.6172e-02, -7.3730e-02, -7.2754e-02, ..., 8.7261e-05, - 2.0409e-04, 1.5354e-04], - [ 5.8105e-02, 5.5420e-02, 5.5176e-02, ..., 3.8719e-04, - 4.6921e-04, 4.5776e-04], - [-9.2773e-02, -9.1309e-02, -8.9844e-02, ..., -4.7874e-04, - -4.1199e-04, -4.4250e-04], - ..., - [-7.4707e-02, -7.2754e-02, -7.1777e-02, ..., 1.1444e-04, - 2.1648e-04, 1.1492e-04], - [-6.0791e-02, -5.9326e-02, -5.8594e-02, ..., 1.5736e-04, - 1.8477e-05, 2.9922e-05], - [ 7.2266e-02, 7.1289e-02, 7.0312e-02, ..., -9.0599e-05, - -1.1873e-04, -8.2016e-05]], dtype=torch.bfloat16), 'net.control_blocks_1.3.adaln_modulation_mlp.2.weight': tensor([[-4.9438e-03, -3.9978e-03, 2.5177e-03, ..., -7.4158e-03, - -1.1414e-02, 8.9111e-03], - [-3.3417e-03, -2.6550e-03, -1.6861e-03, ..., -2.7618e-03, - -2.5787e-03, 2.5787e-03], - [-6.4850e-05, -2.4414e-03, -1.7471e-03, ..., -3.5477e-04, - -1.5259e-04, 1.3161e-04], - ..., - [-4.6143e-02, -6.9275e-03, -5.6396e-02, ..., -3.4424e-02, - -1.2695e-02, 2.6489e-02], - [ 8.1177e-03, -2.7344e-02, 3.1738e-02, ..., 6.6528e-03, - 5.4016e-03, -6.5613e-03], - [ 9.4604e-03, 7.5989e-03, 4.9438e-03, ..., 8.5449e-03, - 4.1199e-03, -6.7444e-03]], dtype=torch.bfloat16), 'net.control_blocks_1.3.after_proj.weight': tensor([[ 0.0049, 0.0079, -0.0066, ..., 0.0017, 0.0227, 0.0034], - [-0.0020, -0.0085, -0.0080, ..., 0.0134, -0.0012, -0.0102], - [-0.0118, 0.0030, -0.0039, ..., -0.0023, -0.0021, 0.0011], - ..., - [-0.0079, -0.0026, 0.0031, ..., -0.0070, 0.0021, -0.0082], - [-0.0040, 0.0076, 0.0044, ..., 0.0051, -0.0108, -0.0024], - [ 0.0119, 0.0110, 0.0015, ..., -0.0018, 0.0058, 0.0067]], - dtype=torch.bfloat16), 'net.control_blocks_1.3.after_proj.bias': tensor([ 0.0050, -0.0118, -0.0096, ..., -0.0070, 0.0018, 0.0004], - dtype=torch.bfloat16)} -[06-26 07:27:43|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in 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07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:43|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['control_embedder.0.proj.1.weight', 'control_embedder.2.proj.1.weight', 'control_embedder.3.proj.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks_0.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_0.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks_0.1._checkpoint_wrapped_module.after_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.after_proj.bias', 'control_blocks_0.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 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'control_blocks_1.3._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'control_blocks_1.3._checkpoint_wrapped_module.cross_attn.k_img_norm.weight'], incorrect_shapes=[]) -[06-26 07:27:43|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:735:load_multi_branch_checkpoints] Done loading the control branch 1 checkpoint. -[06-26 07:27:43|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/depth(626e6618-bfcd-4d9a-a077-1409e2ce353f) -[06-26 07:27:43|CRITICAL|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:694:load_multi_branch_checkpoints] Start loading checkpoint for control branch 2 from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/dea7737ca29dd8d9086413c6dc5724b8250a0bb4/general/depth/626e6618-bfcd-4d9a-a077-1409e2ce353f_ema_bf16.pt -[06-26 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-0.0214, -0.0205, ..., 0.0021, 0.0023, 0.0023], - ..., - [ 0.0605, 0.0588, 0.0569, ..., -0.0037, -0.0037, -0.0037], - [ 0.0496, 0.0479, 0.0464, ..., -0.0032, -0.0031, -0.0030], - [-0.0256, -0.0250, -0.0248, ..., 0.0022, 0.0023, 0.0024]], - dtype=torch.bfloat16), 'net.control_blocks_2.3.adaln_modulation_self_attn.2.weight': tensor([[ 0.0061, 0.0044, 0.0062, ..., 0.0099, 0.0130, 0.0059], - [ 0.0005, 0.0014, 0.0015, ..., -0.0015, 0.0004, 0.0016], - [ 0.0015, -0.0013, 0.0005, ..., 0.0037, 0.0038, -0.0014], - ..., - [-0.0237, -0.0762, -0.0615, ..., 0.0369, 0.0354, -0.0693], - [ 0.0089, 0.0082, 0.0085, ..., 0.0182, 0.0150, 0.0092], - [ 0.0164, 0.0099, 0.0124, ..., 0.0187, 0.0208, 0.0113]], - dtype=torch.bfloat16), 'net.control_blocks_2.3.adaln_modulation_cross_attn.1.weight': tensor([[-8.2031e-02, -8.0078e-02, -7.7637e-02, ..., -1.0443e-04, - -1.2016e-04, -1.0967e-04], - [ 3.0029e-02, 2.9419e-02, 2.8564e-02, ..., 5.6624e-06, - 3.1948e-05, 1.5163e-04], - [ 3.2715e-02, 3.1494e-02, 3.0518e-02, ..., 2.6703e-04, - 2.8992e-04, 1.9836e-04], - ..., - [ 5.5908e-02, 5.4199e-02, 5.3223e-02, ..., -1.8978e-04, - -1.8501e-04, -1.1683e-04], - [ 5.8350e-02, 5.6885e-02, 5.5420e-02, ..., -1.8311e-04, - -1.2112e-04, -1.7071e-04], - [-3.0884e-02, -2.9907e-02, -2.9175e-02, ..., -5.8889e-05, - 9.3460e-05, 1.1492e-04]], dtype=torch.bfloat16), 'net.control_blocks_2.3.adaln_modulation_cross_attn.2.weight': tensor([[-7.9346e-03, 3.7842e-03, -8.8501e-03, ..., 2.8320e-02, - 3.0396e-02, 3.6926e-03], - [ 6.7139e-03, -9.3994e-03, 1.1841e-02, ..., -2.4605e-04, - 4.5166e-03, 4.6387e-03], - [ 2.0905e-03, -1.2207e-03, 4.6997e-03, ..., -7.9346e-03, - -6.3477e-03, -4.7913e-03], - ..., - [-1.5991e-02, 4.6387e-03, 3.5400e-02, ..., 2.5146e-02, - 3.2227e-02, -8.7891e-03], - [-2.3315e-02, 1.2085e-02, 3.6865e-02, ..., 1.0254e-02, - 1.5869e-02, -1.4099e-02], - [ 1.3977e-02, -8.5449e-03, -7.0801e-03, ..., 1.5717e-03, - 1.6098e-03, -4.5300e-05]], dtype=torch.bfloat16), 'net.control_blocks_2.3.adaln_modulation_mlp.1.weight': tensor([[-7.2266e-02, -6.9824e-02, -6.8848e-02, ..., 1.3638e-04, - 2.5940e-04, 2.0313e-04], - [ 1.3245e-02, 1.1841e-02, 1.1597e-02, ..., 3.7193e-04, - 4.5204e-04, 4.4441e-04], - [-7.3242e-02, -7.1777e-02, -7.0801e-02, ..., -4.4823e-04, - -3.7766e-04, -4.1199e-04], - ..., - [-6.5430e-02, -6.4453e-02, -6.3477e-02, ..., 1.6785e-04, - 2.7084e-04, 1.6785e-04], - [-4.4922e-02, -4.4434e-02, -4.4189e-02, ..., 2.0981e-04, - 6.8188e-05, 7.9632e-05], - [ 6.2012e-02, 6.1035e-02, 6.0791e-02, ..., -1.4210e-04, - -1.6975e-04, -1.3351e-04]], dtype=torch.bfloat16), 'net.control_blocks_2.3.adaln_modulation_mlp.2.weight': tensor([[-0.0141, 0.0030, -0.0100, ..., -0.0164, -0.0199, 0.0178], - [-0.0017, -0.0063, 0.0064, ..., -0.0015, 0.0049, -0.0028], - [-0.0016, -0.0029, -0.0036, ..., -0.0010, -0.0017, 0.0016], - ..., - [-0.0493, -0.0312, -0.0461, ..., -0.0361, -0.0109, 0.0266], - [ 0.0075, -0.0177, 0.0260, ..., 0.0075, 0.0052, -0.0075], - [ 0.0135, 0.0118, 0.0070, ..., 0.0121, 0.0072, -0.0096]], - dtype=torch.bfloat16), 'net.control_blocks_2.3.after_proj.weight': tensor([[ 2.8229e-03, 1.6724e-02, -1.8311e-02, ..., 7.8125e-03, - 3.9368e-03, -6.8970e-03], - [-8.4229e-03, -3.6316e-03, 7.6599e-03, ..., -9.5844e-05, - 1.6235e-02, -8.6060e-03], - [ 9.6436e-03, 4.3335e-03, -3.9978e-03, ..., 3.8452e-03, - 2.1820e-03, -7.6599e-03], - ..., - [ 1.7456e-02, 1.2329e-02, -5.0354e-03, ..., 7.7515e-03, - -6.1035e-03, 5.2795e-03], - [-6.2866e-03, 7.4463e-03, -3.2349e-03, ..., 1.0437e-02, - -3.9673e-03, 4.2419e-03], - [ 3.4332e-03, -1.4832e-02, -5.6458e-03, ..., 2.1362e-02, - -1.2268e-02, 8.9722e-03]], dtype=torch.bfloat16), 'net.control_blocks_2.3.after_proj.bias': tensor([ 0.0085, -0.0193, -0.0089, ..., -0.0041, -0.0183, 0.0126], - dtype=torch.bfloat16)} -[06-26 07:27:45|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 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blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:45|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:46|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['control_embedder.0.proj.1.weight', 'control_embedder.1.proj.1.weight', 'control_embedder.3.proj.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks_0.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_0.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks_0.1._checkpoint_wrapped_module.after_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.after_proj.bias', 'control_blocks_0.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 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'control_blocks_2.3._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'control_blocks_2.3._checkpoint_wrapped_module.cross_attn.k_img_norm.weight'], incorrect_shapes=[]) -[06-26 07:27:46|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:735:load_multi_branch_checkpoints] Done loading the control branch 2 checkpoint. -[06-26 07:27:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/seg(5136ef49-6d8d-42e8-8abf-7dac722a304a) -[06-26 07:27:46|CRITICAL|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:694:load_multi_branch_checkpoints] Start loading checkpoint for control branch 3 from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/23057a4167b89de89a4a397fdbf3887994d115eb/general/seg/5136ef49-6d8d-42e8-8abf-7dac722a304a_ema_bf16.pt -[06-26 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-0.0147, 0.0052], - [ 0.0100, -0.0058, 0.0141, ..., 0.0024, 0.0131, 0.0106], - [-0.0130, -0.0079, 0.0022, ..., 0.0167, 0.0105, 0.0075]], - dtype=torch.bfloat16), 'net.control_blocks_3.3.adaln_modulation_self_attn.1.weight': tensor([[-0.0444, -0.0437, -0.0427, ..., 0.0010, 0.0008, 0.0009], - [-0.0413, -0.0403, -0.0393, ..., 0.0027, 0.0028, 0.0027], - [-0.0396, -0.0386, -0.0374, ..., 0.0022, 0.0023, 0.0023], - ..., - [ 0.0498, 0.0481, 0.0469, ..., -0.0036, -0.0037, -0.0037], - [ 0.0398, 0.0386, 0.0371, ..., -0.0031, -0.0031, -0.0030], - [-0.0396, -0.0386, -0.0378, ..., 0.0023, 0.0024, 0.0025]], - dtype=torch.bfloat16), 'net.control_blocks_3.3.adaln_modulation_self_attn.2.weight': tensor([[ 0.0062, 0.0070, 0.0070, ..., 0.0150, 0.0175, 0.0078], - [-0.0017, -0.0014, -0.0012, ..., -0.0032, -0.0031, -0.0013], - [ 0.0013, -0.0071, -0.0061, ..., 0.0034, 0.0036, -0.0070], - ..., - [-0.0325, -0.0776, -0.0645, ..., 0.0221, 0.0236, -0.0718], - [-0.0105, -0.0099, -0.0103, ..., 0.0039, 0.0040, -0.0096], - [ 0.0082, 0.0050, 0.0067, ..., 0.0162, 0.0187, 0.0062]], - dtype=torch.bfloat16), 'net.control_blocks_3.3.adaln_modulation_cross_attn.1.weight': tensor([[-8.2520e-02, -8.0566e-02, -7.7637e-02, ..., -1.0586e-04, - -1.2064e-04, -1.1063e-04], - [ 3.3691e-02, 3.2471e-02, 3.1982e-02, ..., 1.9222e-06, - 2.7180e-05, 1.4877e-04], - [ 3.0884e-02, 2.9785e-02, 2.8809e-02, ..., 2.7657e-04, - 3.0136e-04, 2.0695e-04], - ..., - [ 5.0293e-02, 4.8828e-02, 4.8340e-02, ..., -1.7929e-04, - -1.7262e-04, -1.0538e-04], - [ 5.4932e-02, 5.3467e-02, 5.2002e-02, ..., -1.6785e-04, - -1.0729e-04, -1.5450e-04], - [-2.5635e-02, -2.4902e-02, -2.4292e-02, ..., -6.2943e-05, - 9.0122e-05, 1.1253e-04]], dtype=torch.bfloat16), 'net.control_blocks_3.3.adaln_modulation_cross_attn.2.weight': tensor([[-0.0039, -0.0059, 0.0014, ..., 0.0275, 0.0325, 0.0023], - [ 0.0033, -0.0044, 0.0059, ..., -0.0010, 0.0016, 0.0042], - [ 0.0018, -0.0019, 0.0026, ..., -0.0084, -0.0086, -0.0021], - ..., - [-0.0198, 0.0078, 0.0280, ..., 0.0178, 0.0287, -0.0089], - [-0.0222, 0.0126, 0.0347, ..., -0.0042, -0.0026, -0.0033], - [ 0.0179, -0.0112, -0.0062, ..., -0.0096, -0.0111, 0.0176]], - dtype=torch.bfloat16), 'net.control_blocks_3.3.adaln_modulation_mlp.1.weight': tensor([[-0.0771, -0.0752, -0.0737, ..., 0.0002, 0.0003, 0.0003], - [ 0.0282, 0.0273, 0.0267, ..., 0.0003, 0.0004, 0.0004], - [-0.0991, -0.0977, -0.0962, ..., -0.0003, -0.0003, -0.0003], - ..., - [-0.0723, -0.0708, -0.0698, ..., 0.0002, 0.0003, 0.0002], - [-0.0540, -0.0527, -0.0518, ..., 0.0003, 0.0001, 0.0001], - [ 0.0703, 0.0693, 0.0679, ..., -0.0002, -0.0002, -0.0002]], - dtype=torch.bfloat16), 'net.control_blocks_3.3.adaln_modulation_mlp.2.weight': tensor([[-0.0166, -0.0019, -0.0118, ..., -0.0186, -0.0221, 0.0200], - [-0.0018, -0.0050, 0.0067, ..., 0.0004, 0.0036, -0.0035], - [-0.0019, 0.0020, -0.0027, ..., -0.0019, -0.0019, 0.0019], - ..., - [-0.0486, -0.0170, -0.0557, ..., -0.0356, -0.0126, 0.0272], - [ 0.0071, -0.0099, 0.0264, ..., 0.0056, 0.0048, -0.0047], - [ 0.0138, 0.0110, 0.0107, ..., 0.0124, 0.0065, -0.0101]], - dtype=torch.bfloat16), 'net.control_blocks_3.3.after_proj.weight': tensor([[ 0.0066, -0.0078, -0.0059, ..., -0.0055, 0.0026, -0.0152], - [ 0.0037, -0.0080, 0.0184, ..., -0.0098, -0.0061, -0.0095], - [ 0.0123, 0.0111, 0.0305, ..., 0.0052, 0.0048, -0.0076], - ..., - [ 0.0073, 0.0186, -0.0070, ..., 0.0038, -0.0143, -0.0076], - [-0.0108, -0.0059, -0.0055, ..., 0.0070, -0.0120, 0.0055], - [-0.0166, 0.0165, -0.0107, ..., -0.0049, 0.0009, 0.0073]], - dtype=torch.bfloat16), 'net.control_blocks_3.3.after_proj.bias': tensor([ 0.0026, -0.0143, -0.0110, ..., 0.0014, -0.0015, 0.0062], - dtype=torch.bfloat16)} -[06-26 07:27:47|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by 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blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:47|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 07:27:48|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['control_embedder.0.proj.1.weight', 'control_embedder.1.proj.1.weight', 'control_embedder.2.proj.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks_0.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 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'blocks.26._checkpoint_wrapped_module.cross_attn.v_img.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_img.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_img_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_img.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.v_img.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_img.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_img_norm.weight', 'control_blocks_3.0._checkpoint_wrapped_module.cross_attn.k_img.weight', 'control_blocks_3.0._checkpoint_wrapped_module.cross_attn.v_img.weight', 'control_blocks_3.0._checkpoint_wrapped_module.cross_attn.q_img.weight', 'control_blocks_3.0._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'control_blocks_3.0._checkpoint_wrapped_module.cross_attn.k_img_norm.weight', 'control_blocks_3.1._checkpoint_wrapped_module.cross_attn.k_img.weight', 'control_blocks_3.1._checkpoint_wrapped_module.cross_attn.v_img.weight', 'control_blocks_3.1._checkpoint_wrapped_module.cross_attn.q_img.weight', 'control_blocks_3.1._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'control_blocks_3.1._checkpoint_wrapped_module.cross_attn.k_img_norm.weight', 'control_blocks_3.2._checkpoint_wrapped_module.cross_attn.k_img.weight', 'control_blocks_3.2._checkpoint_wrapped_module.cross_attn.v_img.weight', 'control_blocks_3.2._checkpoint_wrapped_module.cross_attn.q_img.weight', 'control_blocks_3.2._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'control_blocks_3.2._checkpoint_wrapped_module.cross_attn.k_img_norm.weight', 'control_blocks_3.3._checkpoint_wrapped_module.cross_attn.k_img.weight', 'control_blocks_3.3._checkpoint_wrapped_module.cross_attn.v_img.weight', 'control_blocks_3.3._checkpoint_wrapped_module.cross_attn.q_img.weight', 'control_blocks_3.3._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'control_blocks_3.3._checkpoint_wrapped_module.cross_attn.k_img_norm.weight'], incorrect_shapes=[]) -[06-26 07:27:48|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:735:load_multi_branch_checkpoints] Done loading the control branch 3 checkpoint. -[06-26 07:27:48|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled -[06-26 07:27:48|INFO|cosmos_transfer2/inference.py:146:__init__] Found 3 hint keys across all samples -[06-26 07:27:48|WARNING|cosmos_transfer2/inference.py:148:__init__] Loading the multicontrol model. Multicontrol inference is not strictly equal to single control -[06-26 07:27:48|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/semseg/config.yaml -[06-26 07:27:48|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_background_semseg'] -[06-26 07:27:48|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_background_semseg -[06-26 07:27:48|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_background_semseg' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. Beyond the junction the surroundings open onto a dense modern downtown of tall glass-and-steel skyscrapers and a distant city skyline under a clear sky. The road network with painted lane markings, stop lines and pedestrian crosswalks remains in the foreground, multiple vehicles move through the scene, and the camera follows the moving ego vehicle smoothly. Photorealistic, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Empty barren horizon, flat low-rise outskirts, blurry melted skyline, distorted warped buildings.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=BlurConfig(control_path=None, control_weight=0.6, mask_path=None, mask_prompt=None, preset_blur_strength='medium') seg=SegConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/semseg_front.mp4'), control_weight=0.4, mask_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_masks/sunny/background_mask.mp4'), mask_prompt=None, control_prompt=None) guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None) -[06-26 07:27:48|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg.json -[06-26 07:27:48|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled -[06-26 07:27:48|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4', 'edge_mask': None, 'edge_mask_prompt': None, 'vis': None, 'vis_mask': None, 'vis_mask_prompt': None, 'seg': '/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/semseg_front.mp4', 'seg_mask': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_masks/sunny/background_mask.mp4', 'seg_mask_prompt': None} -[06-26 07:27:48|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video... -[06-26 07:27:48|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4 -[06-26 07:27:48|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 07:27:48|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings... -[06-26 07:27:49|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings... -[06-26 07:27:49|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available... -[06-26 07:27:49|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided. -[06-26 07:27:49|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs... -[06-26 07:27:49|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4 -[06-26 07:27:49|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 07:27:49|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:703:read_and_process_control_input] No vis (blur) control input file found, will compute online.. -[06-26 07:27:49|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/semseg_front.mp4 -[06-26 07:27:50|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 07:27:50|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_masks/sunny/background_mask.mp4 -[06-26 07:27:50|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 07:27:51|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2 -[06-26 07:28:03|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845 -[06-26 07:28:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY] -[06-26 07:34:33|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2 -[06-26 07:34:46|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774 -[06-26 07:34:46|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY] -[06-26 07:40:47|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 383.9957322914852 -[06-26 07:40:48|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 07:40:49|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg_control_edge.mp4 -[06-26 07:40:50|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 07:40:51|INFO|cosmos_transfer2/inference.py:311:_generate_sample] vis control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg_control_vis.mp4 -[06-26 07:40:51|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 07:40:52|INFO|cosmos_transfer2/inference.py:311:_generate_sample] seg control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg_control_seg.mp4 -[06-26 07:40:52|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled -[06-26 07:40:53|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 07:40:54|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg.mp4 diff --git a/multicontrol_edgecompare_grid/sunny/background/semseg/spec.json b/multicontrol_edgecompare_grid/sunny/background/semseg/spec.json deleted file mode 100644 index cc2b0b8726c53452df00bf356b8f6fc2bb390ff0..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/semseg/spec.json +++ /dev/null @@ -1,21 +0,0 @@ -{ - "name": "sunny_background_semseg", - "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. Beyond the junction the surroundings open onto a dense modern downtown of tall glass-and-steel skyscrapers and a distant city skyline under a clear sky. The road network with painted lane markings, stop lines and pedestrian crosswalks remains in the foreground, multiple vehicles move through the scene, and the camera follows the moving ego vehicle smoothly. Photorealistic, high detail.", - "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4", - "guidance": 3, - "num_steps": 35, - "seed": 2025, - "edge": { - "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4", - "control_weight": 1.0 - }, - "seg": { - "control_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/semseg_front.mp4", - "control_weight": 0.4, - "mask_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_masks/sunny/background_mask.mp4" - }, - "vis": { - "control_weight": 0.6 - }, - "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Empty barren horizon, flat low-rise outskirts, blurry melted skyline, distorted warped buildings." -} \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg.json b/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg.json deleted file mode 100644 index 9d2668546845efe389de484126062e9d85b2b1b1..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg.json +++ /dev/null @@ -1 +0,0 @@ -{"name":"sunny_background_semseg","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. Beyond the junction the surroundings open onto a dense modern downtown of tall glass-and-steel skyscrapers and a distant city skyline under a clear sky. The road network with painted lane markings, stop lines and pedestrian crosswalks remains in the foreground, multiple vehicles move through the scene, and the camera follows the moving ego vehicle smoothly. Photorealistic, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Empty barren horizon, flat low-rise outskirts, blurry melted skyline, distorted warped buildings.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":{"control_path":null,"control_weight":0.6,"mask_path":null,"mask_prompt":null,"preset_blur_strength":"medium"},"seg":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/semseg_front.mp4","control_weight":0.4,"mask_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_masks/sunny/background_mask.mp4","mask_prompt":null,"control_prompt":null},"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null} \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg.mp4 b/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg.mp4 deleted file mode 100644 index 205277f812e33056f45d2e2dae96134fb3563b37..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:81dc047c60eb9f1b5a85ced4542cc61765d31d1ac3853878aa557b01537f7867 -size 1765927 diff --git a/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg.txt b/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg.txt deleted file mode 100644 index 572f9d85061c89e01031ef58092fcf6f3758ae06..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg.txt +++ /dev/null @@ -1 +0,0 @@ -The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. Beyond the junction the surroundings open onto a dense modern downtown of tall glass-and-steel skyscrapers and a distant city skyline under a clear sky. The road network with painted lane markings, stop lines and pedestrian crosswalks remains in the foreground, multiple vehicles move through the scene, and the camera follows the moving ego vehicle smoothly. Photorealistic, high detail. \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg_control_edge.mp4 b/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg_control_edge.mp4 deleted file mode 100644 index 517a976ec0a5d8e4a484eb65a5ac5ad8308f733a..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg_control_edge.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:57c1f383a1f61fc52a275e2a3d237bee50a45e7901dc709b401226496891cd0c -size 1406752 diff --git a/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg_control_seg.mp4 b/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg_control_seg.mp4 deleted file mode 100644 index 733a6a809b55c3f4407f38707275c2d71e533957..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg_control_seg.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:7cf2e246115d6b29665356090b88064e26d2152af8be7b3fd5a30702e9d637bb -size 841159 diff --git a/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg_control_vis.mp4 b/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg_control_vis.mp4 deleted file mode 100644 index 34f0b6e199ee4029ebdfebc39c17fa0c9132a9f0..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/background/semseg/sunny_background_semseg_control_vis.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:282799a9e77adfeeb3c049be5c9a739ce7b15b57f4e9e386fb937053bde1d587 -size 293428 diff --git a/multicontrol_edgecompare_grid/sunny/car_color/hybrid/config.yaml b/multicontrol_edgecompare_grid/sunny/car_color/hybrid/config.yaml deleted file mode 100644 index d5e1899f5c39709d61384e479039d8a4d49ea2d0..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/car_color/hybrid/config.yaml +++ /dev/null @@ -1,882 +0,0 @@ -checkpoint: - broadcast_via_filesystem: 'False' - dcp_async_mode_enabled: 'False' - enable_gcs_patch_in_boto3: 'False' - jit: - device: cuda - dtype: bfloat16 - enabled: 'False' - input_shape: null - strict: 'True' - keys_not_to_resume: [] - keys_to_skip_loading: [] - load_ema_to_reg: 'False' - load_from_object_store: - bucket: bucket - credentials: credentials/s3_checkpoint.secret - enabled: 'True' - load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 - load_training_state: 'False' - only_load_scheduler_state: 'False' - save_iter: '1000' - save_to_object_store: - bucket: bucket - credentials: credentials/s3_checkpoint.secret - enabled: 'True' - strict_resume: 'False' - type: - _target_: - callbacks: null - disable_async: 'False' - verbose: 'True' -dataloader_train: - dataloaders: - image_data: - ratio: '0' - video_data: - dataloader: - batch_size: '1' - cache_augment_fn: functools.partial(, n=1.8) - cache_size: '32' - concat_size: '1' - dataset: - augmentor_name: video_basic_augmentor_v2_with_control_and_image_context - caption_type: t2w_qwen2p5_7b - control_input_type: edge - dataset_resolution_type: gt720p - embedding_type: null - max_fps_thres: '60' - min_fps_thres: '10' - num_video_frames: '93' - resolution: '720' - use_native_fps: 'True' - video_decoder_name: video_naive_bytes - num_workers: '4' - use_cache: 'False' - ratio: '1' - video_data_1: - dataloader: - batch_size: '6' - cache_augment_fn: functools.partial(, n=1.8) - cache_size: '32' - concat_size: '1' - dataset: - augmentor_name: video_basic_augmentor_v2_with_control_and_image_context - caption_type: t2w_qwen2p5_7b - control_input_type: edge - dataset_resolution_type: gt720p - embedding_type: null - num_video_frames: '1' - resolution: '720' - use_native_fps: 'True' - video_decoder_name: video_naive_bytes - num_workers: '4' - use_cache: 'False' - ratio: '1' - dataset: - augmentor_name: video_basic_augmentor_v2_with_control - caption_type: t2w_qwen2p5_7b - control_input_type: edge - dataset_resolution_type: gt720p - embedding_type: null - max_fps_thres: '60' - min_fps_thres: '10' - num_video_frames: '93' - resolution: '720' - use_native_fps: 'True' - video_decoder_name: video_naive_bytes - num_workers: '4' -dataloader_val: - _target_: - dataloaders: - image_data: - dataloader: - _target_: - batch_size: '2' - cache_augment_fn: null - cache_replay_name: image_dataloader - cache_size: '32' - concat_size: '1' - dataset: - _target_: - len_t5: '512' - resolution: '512' - t5_dim: '1024' - num_workers: '8' - pin_memory: 'True' - shuffle: 'False' - use_cache: 'False' - webdataset: 'False' - ratio: '1' - video_data: - dataloader: - _target_: - batch_size: '1' - cache_augment_fn: null - cache_replay_name: video_dataloader - cache_size: '32' - concat_size: '1' - dataset: - _target_: - len_t5: '512' - num_video_frames: '136' - resolution: '512' - t5_dim: '1024' - num_workers: '8' - pin_memory: 'True' - shuffle: 'False' - use_cache: 'False' - webdataset: 'False' - ratio: '1' -defaults: -- _self_ -- data_train: mock -- data_val: mock -- optimizer: fusedadamw -- scheduler: lambdalinear -- model: ddp -- callbacks: basic -- net: null -- conditioner: video_prediction_control_conditioner -- ema: power -- tokenizer: wan2pt1_tokenizer -- checkpoint: s3 -- ckpt_type: dummy -- experiment: null -job: - cluster: null - group: vid2vid_2B_control - name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data - project: cosmos_transfer2 - wandb_mode: online -model: - _recursive_: 'False' - _target_: - config: - base_load_from: null - conditional_frame_timestep: -1.0 - conditional_frames_probs: - 0: 0.4 - 1: 0.4 - 2: 0.2 - conditioner: - _target_: - control_input_depth: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_depth - output_key: control_input_depth - control_input_depth_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_depth_mask - output_key: control_input_depth_mask - control_input_edge: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_edge - output_key: control_input_edge - control_input_edge_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_edge_mask - output_key: control_input_edge_mask - control_input_inpaint: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_inpaint - output_key: control_input_inpaint - control_input_inpaint_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_inpaint_mask - output_key: control_input_inpaint_mask - control_input_seg: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_seg - output_key: control_input_seg - control_input_seg_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_seg_mask - output_key: control_input_seg_mask - control_input_vis: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_vis - output_key: control_input_vis - control_input_vis_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_vis_mask - output_key: control_input_vis_mask - fps: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: fps - output_key: fps - padding_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: padding_mask - output_key: padding_mask - reference_image_context: - _target_: - dropout_rate: '0.5' - input_key: - - images - - video - - image_context - num_token: '256' - output_key: null - text: - _target_: - credential_path: credentials/s3_training.secret - dropout_rate: '0.2' - empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt - input_key: - - t5_text_embeddings - use_empty_string: 'False' - use_video_condition: - _target_: - dropout_rate: '0.0' - input_key: fps - output_key: use_video_condition - conditioning_strategy: frame_replace - copy_weight_strategy: first_n - denoise_replace_gt_frames: true - ema: - enabled: false - iteration_shift: 0 - rate: 0.1 - fsdp_shard_size: 1 - high_sigma_ratio: 0.05 - high_sigma_timesteps_max: 1000 - high_sigma_timesteps_min: 980 - hint_keys: edge - init_lora_weights: true - input_caption_key: ai_caption - input_data_key: video - input_image_key: images - lora_alpha: 32 - lora_rank: 32 - lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2 - max_num_conditional_frames: 2 - min_num_conditional_frames: 0 - net: - _target_: - adaln_lora_dim: '256' - atten_backend: minimal_a2a - concat_padding_mask: 'True' - condition_strategy: spaced - crossattn_emb_channels: '1024' - crossattn_proj_in_channels: '100352' - extra_image_context_dim: '1152' - extra_per_block_abs_pos_emb: 'False' - img_context_deep_proj: 'False' - in_channels: '16' - max_frames: '128' - max_img_h: '240' - max_img_w: '240' - mlp_ratio: '4.0' - model_channels: '2048' - num_blocks: '28' - num_control_branches: '1' - num_heads: '16' - num_max_modalities: '8' - out_channels: '16' - patch_spatial: '2' - patch_temporal: '1' - pos_emb_cls: rope3d - pos_emb_interpolation: crop - pos_emb_learnable: 'True' - rope_enable_fps_modulation: 'False' - rope_h_extrapolation_ratio: '3.0' - rope_t_extrapolation_ratio: '1.0' - rope_w_extrapolation_ratio: '3.0' - sac_config: - every_n_blocks: 1 - mode: predict2_2b_720_aggressive - separate_embedders: 'False' - share_q_in_i2v_cross_attn: 'False' - spatial_compression_factor: '8' - timestep_scale: '0.001' - use_adaln_lora: 'True' - use_after_proj_for_multi_branch: 'True' - use_crossattn_projection: 'True' - use_cuda_graphs: 'False' - use_input_hint_block: 'False' - use_wan_fp32_strategy: 'True' - vace_block_every_n: '7' - vace_has_mask: 'False' - precision: bfloat16 - resolution: '720' - shift: 5 - state_ch: 16 - state_t: 24 - text_encoder_class: reason1p1_7B - text_encoder_config: - ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/ - compute_online: true - embedding_concat_strategy: full_concat - model_config: - _target_: - model_config: - _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig - activation_checkpoint: - mode: selective - models: vlm - selective_ac_option: op - add_answer_tag: 'True' - add_cross_attention: 'False' - add_image_start_end_tag: 'False' - add_tile_tag: 'False' - architectures: - - Qwen2_5_VLForConditionalGeneration - attention_dropout: '0.0' - attn_implementation: flash_attention_2 - attn_implementation_autoset: 'True' - aux_loss_coeff: '0.0' - bad_words_ids: null - begin_suppress_tokens: null - bos_token_id: '151643' - cache_dir: null - checkpoint: - async_mode: disabled - create_seed_checkpoint: false - enable_checkpoint: false - export_dtype: float32 - folder: checkpoint - interval: 500 - interval_type: steps - model_weights_only: false - chunk_size_feed_forward: '0' - ckpt_dir: null - ckpt_path: null - comm: - init_timeout_seconds: 300 - trace_buf_size: 20000 - train_timeout_seconds: 100 - cp_size: null - cross_attention_hidden_size: null - decoder_start_token_id: null - deterministic: 'False' - diversity_penalty: '0.0' - do_sample: 'False' - early_stopping: 'False' - encoder_no_repeat_ngram_size: '0' - eos_token_id: '151645' - ep_size: null - experimental: - enable_async_tensor_parallel: false - enable_compiled_autograd: false - pipeline_parallel_degree: 1 - exponential_decay_length_penalty: null - finetuning_task: null - float8: - enable_float8_linear: false - forced_bos_token_id: null - forced_eos_token_id: null - freeze_llm: 'False' - freeze_mm_projector: 'False' - freeze_vision_encoder: 'False' - fsdp_enabled: 'False' - hidden_act: silu - hidden_size: '3584' - id2label: - 0: LABEL_0 - 1: LABEL_1 - image_token_id: '151655' - initializer_range: '0.02' - intermediate_size: '18944' - is_decoder: 'False' - is_encoder_decoder: 'False' - label2id: - LABEL_0: '0' - LABEL_1: '1' - length_penalty: '1.0' - loss_per_token: 'True' - max_batch_size: '1' - max_length: '20' - max_position_embeddings: '128000' - max_seq_len: '128000' - max_window_layers: '28' - min_length: '0' - mm_projector: null - model_type: qwen2_5_vl - name_or_path: Qwen/Qwen2.5-VL-7B-Instruct - no_repeat_ngram_size: '0' - num_attention_heads: '28' - num_beam_groups: '1' - num_beams: '1' - num_hidden_layers: '28' - num_key_value_heads: '4' - num_return_sequences: '1' - num_tiles: '1' - optimizer: - early_step_in_backward: false - end_lr: 2.5e-05 - fused: false - init_lr: 1.0e-05 - lr: 0.0003 - lr_multiplier_llm: 1.0 - lr_multiplier_mm_projector: 1.0 - lr_multiplier_vision_encoder: 0.1 - name: AdamW - output_attentions: 'False' - output_hidden_states: 'True' - output_scores: 'False' - pad_token_id: null - precision: bfloat16 - prefix: null - prepend_padding: 'False' - problem_type: null - pruned_heads: _Nothing.NOTHING - remove_invalid_values: 'False' - repetition_penalty: '1.0' - return_dict: 'True' - return_dict_in_generate: 'False' - rms_norm_eps: 1e-06 - rope_scaling: - mrope_section: - - '16' - - '24' - - '24' - rope_type: default - type: default - rope_theta: '1000000.0' - s3_credential_path: credentials/pbss_dir.secret - seed: '0' - sep_token_id: null - sliding_window: '32768' - suppress_tokens: null - task_specific_params: null - temperature: '1.0' - tf_legacy_loss: 'False' - tie_encoder_decoder: 'False' - tie_word_embeddings: 'False' - tile_tag_type: space_separated - tokenizer_class: null - tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct - top_k: '50' - top_p: '1.0' - torch_dtype: bfloat16 - torchscript: 'False' - training: - compile: false - context_parallel_degree: 1 - data_parallel_replicate_degree: 1 - data_parallel_shard_degree: -1 - disable_loss_parallel: false - enable_cpu_offload: false - fsdp_reshard_after_forward: default - mixed_precision_param: bfloat16 - mixed_precision_reduce: float32 - steps: 400000 - tensor_parallel_degree: 1 - use_cosine_decay: false - use_linear_decay: true - warmup_steps: 1000 - training_seq_len: '4096' - transformers_version: 4.51.0.dev0 - typical_p: '1.0' - use_bfloat16: 'False' - use_cache: 'False' - use_fsdp2: 'True' - use_return_dict: 'True' - use_rope_from_torchtitan: 'False' - use_sliding_window: 'False' - video_token_id: '151656' - vision_config: - _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig - add_cross_attention: 'False' - architectures: null - attn_implementation: flash_attention_2 - attn_implementation_autoset: 'True' - bad_words_ids: null - begin_suppress_tokens: null - bos_token_id: null - chunk_size_feed_forward: '0' - cross_attention_hidden_size: null - decoder_start_token_id: null - depth: '32' - diversity_penalty: '0.0' - do_sample: 'False' - early_stopping: 'False' - embed_dim: null - encoder_no_repeat_ngram_size: '0' - eos_token_id: null - exponential_decay_length_penalty: null - finetuning_task: null - forced_bos_token_id: null - forced_eos_token_id: null - fullatt_block_indexes: - - '7' - - '15' - - '23' - - '31' - hidden_act: silu - hidden_size: '1280' - id2label: - 0: LABEL_0 - 1: LABEL_1 - in_channels: '3' - in_chans: '3' - intermediate_size: '3420' - is_decoder: 'False' - is_encoder_decoder: 'False' - label2id: - LABEL_0: '0' - LABEL_1: '1' - length_penalty: '1.0' - max_length: '20' - min_length: '0' - mlp_ratio: null - model_type: qwen2_5_vl - name_or_path: '' - no_repeat_ngram_size: '0' - num_beam_groups: '1' - num_beams: '1' - num_heads: '16' - num_return_sequences: '1' - out_hidden_size: '3584' - output_attentions: 'False' - output_hidden_states: 'False' - output_scores: 'False' - pad_token_id: null - patch_size: '14' - prefix: null - problem_type: null - pruned_heads: _Nothing.NOTHING - remove_invalid_values: 'False' - repetition_penalty: '1.0' - return_dict: 'True' - return_dict_in_generate: 'False' - sep_token_id: null - spatial_merge_size: '2' - spatial_patch_size: '14' - suppress_tokens: null - task_specific_params: null - temperature: '1.0' - temporal_patch_size: '2' - tf_legacy_loss: 'False' - tie_encoder_decoder: 'False' - tie_word_embeddings: 'True' - tokenizer_class: null - tokens_per_second: '2' - top_k: '50' - top_p: '1.0' - torch_dtype: bfloat16 - torchscript: 'False' - typical_p: '1.0' - use_bfloat16: 'False' - window_size: '112' - vision_encoder: openai/clip-vit-base-patch32 - vision_encoder_config: - depth_init: true - dim: 1024 - ffn_dim_multiplier: null - head_dim: null - hidden_act: null - hidden_dim: 4096 - image_size: 1024 - image_token_id: null - multiple_of: null - n_heads: 16 - n_kv_heads: null - n_layers: 24 - norm_eps: 1.0e-05 - norm_type: rmsnorm - num_channels: 3 - patch_size: 16 - proj_bias: null - qkv_bias: null - rope_theta: 10000.0 - use_cache: false - use_rope_from_torchtitan: false - vision_encoder_in_channels: '3' - vision_end_token_id: '151653' - vision_start_token_id: '151652' - vision_token_id: '151654' - vocab_size: '152064' - z_loss_coeff: '0.0' - tokenizer: - _target_: - cache_dir: null - tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct - n_layers_per_group: 5 - s3_credential_path: credentials/s3_checkpoint.secret - tokenizer: - _target_: - chunk_duration: '81' - load_mean_std: 'False' - name: wan2pt1_tokenizer - temporal_window: '16' - train_time_distribution: logitnormal - train_time_weight: uniform - use_dora: false - use_dynamic_shift: false - use_high_sigma_strategy: false - use_kerras_sigma_at_inference: false - use_lora: false - use_reference_image: true - use_torch_compile: false -model_parallel: - _cpu_offloading_context: null - async_tensor_model_parallel_allreduce: false - autocast_dtype: torch.float32 - barrier_with_L1_time: true - batch_p2p_comm: true - batch_p2p_sync: true - bf16: false - context_parallel_size: 8 - cpu_offloading: false - cpu_offloading_activations: true - cpu_offloading_double_buffering: false - cpu_offloading_num_layers: 0 - cpu_offloading_weights: true - cross_entropy_fusion_impl: native - cross_entropy_loss_fusion: false - deallocate_pipeline_outputs: false - defer_embedding_wgrad_compute: false - delay_wgrad_compute: false - deterministic_mode: false - enable_autocast: false - expert_model_parallel_size: 1 - expert_tensor_parallel_size: 1 - finalize_model_grads_func: null - fp16: false - grad_scale_func: null - grad_sync_func: null - gradient_accumulation_fusion: false - hierarchical_context_parallel_sizes: null - microbatch_group_size_per_vp_stage: 1 - moe_extended_tp: false - no_sync_func: null - num_microbatches_with_partial_activation_checkpoints: null - overlap_moe_expert_parallel_comm: false - overlap_p2p_comm: false - overlap_p2p_comm_warmup_flush: false - param_sync_func: null - params_dtype: torch.float32 - perform_initialization: true - pipeline_dtype: null - pipeline_model_parallel_comm_backend: null - pipeline_model_parallel_size: 1 - sequence_parallel: false - tensor_model_parallel_size: 1 - timers: null - tp_comm_atomic_ag: false - tp_comm_atomic_rs: false - tp_comm_bootstrap_backend: nccl - tp_comm_bulk_dgrad: true - tp_comm_bulk_wgrad: true - tp_comm_overlap: false - tp_comm_overlap_ag: true - tp_comm_overlap_disable_fc1: false - tp_comm_overlap_disable_qkv: false - tp_comm_overlap_rs: true - tp_comm_overlap_rs_dgrad: false - tp_comm_split_ag: true - tp_comm_split_rs: true - use_cpu_initialization: false - use_ring_exchange_p2p: false - use_te_rng_tracker: false - variable_seq_lengths: false - virtual_pipeline_model_parallel_size: null - wgrad_deferral_limit: 0 -optimizer: - _target_: - betas: - - '0.9' - - '0.999' - eps: 1e-08 - fused: 'True' - lr: '8.63e-05' - model: null - optim_type: adamw - weight_decay: '0.001' -scheduler: - _target_: - cycle_lengths: - - '100000' - f_max: - - '0.5' - f_min: - - '0.2' - f_start: - - 1e-06 - verbosity_interval: '0' - warm_up_steps: - - '100' -trainer: - callbacks: - compile_tokenizer: - _target_: - compile_after_iterations: '4' - dynamic: 'False' - enabled: 'True' - dataloader_speed: - _target_: - every_n: '200' - save_s3: 'True' - step_size: '1' - device_monitor: - _target_: - every_n: '200' - log_memory_detail: 'True' - save_s3: 'True' - step_size: '1' - upload_every_n_mul: '10' - every_n_sample_ema: - _target_: - every_n: '5000' - fix_batch_fp: null - fps: '16' - guidance: - - '0' - - '3' - - '7' - is_ema: 'True' - is_sample: 'True' - is_x0: 'False' - n_sample_to_save: '128' - n_viz_sample: '3' - n_x0_level: '4' - num_sampling_step: '35' - save_s3: 'True' - show_all_frames: 'False' - step_size: '1' - use_negative_prompt: 'False' - every_n_sample_reg: - _target_: - every_n: '5000' - fix_batch_fp: null - fps: '16' - guidance: - - '0' - - '3' - - '7' - is_ema: 'False' - is_sample: 'True' - is_x0: 'False' - n_sample_to_save: '128' - n_viz_sample: '3' - n_x0_level: '4' - num_sampling_step: '35' - save_s3: 'True' - show_all_frames: 'False' - step_size: '1' - use_negative_prompt: 'False' - frame_loss_log: - _target_: - logging_iter_multipler: '1' - save_logging_iter_multipler: '10' - save_s3: 'True' - grad_clip: - _target_: - clip_norm: '0.1' - force_finite: 'True' - heart_beat: - _target_: - every_n: '10' - save_s3: 'True' - step_size: '1' - update_interval_in_minute: '20' - iter_speed: - _target_: - every_n: '100' - hit_thres: '300' - save_s3: 'True' - save_s3_every_log_n: '10' - load_base_model: - _target_: - config: null - trainer: null - low_prec: - _target_: - config: null - trainer: null - update_iter: '1' - manual_gc: - _target_: - every_n: '200' - warm_up: '5' - wandb: - _target_: - logging_iter_multipler: '1' - save_logging_iter_multipler: '10' - save_s3: 'True' - wandb_10x: - _target_: - logging_iter_multipler: '10' - save_logging_iter_multipler: '1' - save_s3: 'True' - compile_config: - recompile_limit: '8' - use_duck_shape: 'True' - cudnn: - benchmark: 'True' - deterministic: 'False' - ddp: - broadcast_buffers: 'True' - find_unused_parameters: 'False' - static_graph: 'True' - distributed_parallelism: fsdp - grad_accum_iter: '1' - grad_scaler_args: - enabled: 'False' - logging_iter: '200' - max_iter: '100000' - max_val_iter: null - memory_format: torch.preserve_format - profiling: - enable_memory_snapshot: 'False' - enable_profiling: 'False' - profile_freq: '1' - profile_memory: 'False' - record_shape: 'False' - save_s3: 'False' - target_ranks: - - '0' - - '1' - - '2' - - '3' - - '4' - - '5' - - '6' - - '7' - with_modules: 'True' - with_stack: 'True' - run_validation: 'False' - run_validation_on_start: 'False' - seed: '0' - straggler_detection: - analyze_backward: 'True' - analyze_dataloading: 'True' - analyze_forward: 'True' - analyze_optimizer: 'True' - enabled: 'True' - max_diff: '1.5' - profile_freq: '1' - raise_error: 'True' - report_freq: '100' - timeout_period: '999999999' - type: - validation_iter: '100' -upload_reproducible_setup: 'True' diff --git a/multicontrol_edgecompare_grid/sunny/car_color/hybrid/console.log b/multicontrol_edgecompare_grid/sunny/car_color/hybrid/console.log deleted file mode 100644 index 6573566d2a874cd6d698c487fea14091610cbe9d..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/car_color/hybrid/console.log +++ /dev/null @@ -1,10 +0,0 @@ -[06-26 08:07:30|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples -[06-26 08:07:30|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/car_color/hybrid/config.yaml -[06-26 08:07:30|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_car_color_hybrid'] -[06-26 08:07:30|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_car_color_hybrid -[06-26 08:07:30|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/car_color/hybrid/sunny_car_color_hybrid.json -[06-26 08:07:30|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled -[06-26 08:07:30|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4', 'edge_mask': None, 'edge_mask_prompt': None} -[06-26 08:17:36|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/car_color/hybrid/sunny_car_color_hybrid_control_edge.mp4 -[06-26 08:17:36|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled -[06-26 08:17:38|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/car_color/hybrid/sunny_car_color_hybrid.mp4 diff --git a/multicontrol_edgecompare_grid/sunny/car_color/hybrid/debug.log b/multicontrol_edgecompare_grid/sunny/car_color/hybrid/debug.log deleted file mode 100644 index ceac98372ead6590fefde223e4b4c7a872048cbb..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/car_color/hybrid/debug.log +++ /dev/null @@ -1,969 +0,0 @@ -[06-26 08:06:46|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False) -[06-26 08:06:47|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser -[06-26 08:06:47|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser -[06-26 08:07:08|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:] for the back comptiable pytorch! New DefaultLoadPlanner class is created. -[06-26 08:07:08|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:] for the back comptiable pytorch! New DefaultLoadPlanner class is created. -[06-26 08:07:09|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/car_color/hybrid') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer= enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge']) -[06-26 08:07:09|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1... -[06-26 08:07:09|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2... -[06-26 08:07:09|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor... -[06-26 08:07:09|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control... -[06-26 08:07:09|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control... -[06-26 08:07:09|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control... -[06-26 08:07:09|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context... -[06-26 08:07:09|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input... -[06-26 08:07:09|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets... -[06-26 08:07:10|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found. -[06-26 08:07:10|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9. -[06-26 08:07:10|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment -[06-26 08:07:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore -[06-26 08:07:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale -[06-26 08:07:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit -[06-26 08:07:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list -[06-26 08:07:10|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av -[06-26 08:07:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore -[06-26 08:07:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale -[06-26 08:07:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list -[06-26 08:07:10|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments -[06-26 08:07:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot -[06-26 08:07:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example -[06-26 08:07:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview -[06-26 08:07:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example -[06-26 08:07:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview -[06-26 08:07:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example -[06-26 08:07:11|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 -[06-26 08:07:11|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0. -[06-26 08:07:11|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 -[06-26 08:07:11|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16 -[06-26 08:07:11|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8) -[06-26 08:07:12|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth -[06-26 08:07:12|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 1.03 s -[06-26 08:07:18|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] -[06-26 08:07:18|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: - ReMapkey - input key: fps - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: fps - Dtype: None -[06-26 08:07:18|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: - ReMapkey - input key: padding_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: padding_mask - Dtype: None -[06-26 08:07:18|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: - TextAttr - input key: ['t5_text_embeddings'] - Param count: 0 - Trainable: None - Dropout rate: 0.2 - Output key: [crossattn_emb] -[06-26 08:07:18|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: - BooleanFlag - input key: fps - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: use_video_condition - This is a boolean flag -[06-26 08:07:18|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: - ReMapkey - input key: control_input_edge - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_edge - Dtype: None -[06-26 08:07:18|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: - ReMapkey - input key: control_input_vis - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_vis - Dtype: None -[06-26 08:07:18|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: - ReMapkey - input key: control_input_depth - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_depth - Dtype: None -[06-26 08:07:18|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: - ReMapkey - input key: control_input_seg - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_seg - Dtype: None -[06-26 08:07:18|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: - ReMapkey - input key: control_input_inpaint - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_inpaint - Dtype: None -[06-26 08:07:18|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: - ReMapkey - input key: control_input_edge_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_edge_mask - Dtype: None -[06-26 08:07:18|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: - ReMapkey - input key: control_input_vis_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_vis_mask - Dtype: None -[06-26 08:07:18|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: - ReMapkey - input key: control_input_depth_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_depth_mask - Dtype: None -[06-26 08:07:18|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: - ReMapkey - input key: control_input_seg_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_seg_mask - Dtype: None -[06-26 08:07:18|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: - ReMapkey - input key: control_input_inpaint_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_inpaint_mask - Dtype: None -[06-26 08:07:18|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: - SigLip2EmbImgContext - input key: ['images', 'video', 'image_context'] - Param count: 0 - Trainable: None - Dropout rate: 0.5 - Input key: ['images', 'video', 'image_context'] - Output key: ['img_context_emb'] -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag: True. We enable bias if no AdaLN LoRA for backward compatibility. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:18|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26 -[06-26 08:07:19|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27 -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:19|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.33 s -[06-26 08:07:20|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 1.76 s -[06-26 08:07:20|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 8.03 s -[06-26 08:07:20|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 8.03 s -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] -Freezing base model - -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint. -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block -[06-26 08:07:20|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block -[06-26 08:07:20|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model... -[06-26 08:07:20|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70) -[06-26 08:07:20|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache -[06-26 08:07:20|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16 -[06-26 08:07:20|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32 -[06-26 08:07:21|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/. -[06-26 08:07:21|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f) -[06-26 08:07:27|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423. -[06-26 08:07:27|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated -[06-26 08:07:27|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT( - (x_embedder): PatchEmbed( - (proj): Sequential( - (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2) - (1): Linear(in_features=72, out_features=2048, bias=False) - ) - ) - (pos_embedder): VideoRopePosition3DEmb() - (t_embedder): Sequential( - (0): Timesteps() - (1): TimestepEmbedding( - (linear_1): Linear(in_features=2048, out_features=2048, bias=False) - (activation): SiLU() - (linear_2): Linear(in_features=2048, out_features=6144, bias=False) - ) - ) - (blocks): ModuleList( - (0-27): 28 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlAwareDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): I2VCrossAttentionFull( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): DotProductAttention( - (flash_attention): FlashAttention() - (fused_attention): FusedAttention() - (unfused_attention): UnfusedDotProductAttention( - (scale_mask_softmax): FusedScaleMaskSoftmax() - (attention_dropout): Dropout(p=0, inplace=False) - ) - ) - (k_img): Linear(in_features=2048, out_features=2048, bias=False) - (v_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img_norm): RMSNorm() - (k_img_norm): RMSNorm() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - ) - ) - ) - (final_layer): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): FinalLayer( - (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (linear): Linear(in_features=2048, out_features=64, bias=False) - (adaln_modulation): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=4096, bias=False) - ) - ) - ) - ) - ) - (t_embedding_norm): RMSNorm() - (img_context_proj): Sequential( - (0): Linear(in_features=1152, out_features=2048, bias=True) - (1): GELU(approximate='none') - ) - (crossattn_proj): Sequential( - (0): Linear(in_features=100352, out_features=1024, bias=True) - (1): GELU(approximate='none') - ) - (control_embedder): PatchEmbed( - (proj): Sequential( - (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2) - (1): Linear(in_features=520, out_features=2048, bias=False) - ) - ) - (control_blocks): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): I2VCrossAttentionFull( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): DotProductAttention( - (flash_attention): FlashAttention() - (fused_attention): FusedAttention() - (unfused_attention): UnfusedDotProductAttention( - (scale_mask_softmax): FusedScaleMaskSoftmax() - (attention_dropout): Dropout(p=0, inplace=False) - ) - ) - (k_img): Linear(in_features=2048, out_features=2048, bias=False) - (v_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img_norm): RMSNorm() - (k_img_norm): RMSNorm() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): I2VCrossAttentionFull( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): DotProductAttention( - (flash_attention): FlashAttention() - (fused_attention): FusedAttention() - (unfused_attention): UnfusedDotProductAttention( - (scale_mask_softmax): FusedScaleMaskSoftmax() - (attention_dropout): Dropout(p=0, inplace=False) - ) - ) - (k_img): Linear(in_features=2048, out_features=2048, bias=False) - (v_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img_norm): RMSNorm() - (k_img_norm): RMSNorm() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) -) -[06-26 08:07:27|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 16.50 s -[06-26 08:07:27|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125) -[06-26 08:07:27|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt -[06-26 08:07:29|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:07:30|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[]) -[06-26 08:07:30|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None -[06-26 08:07:30|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True). -[06-26 08:07:30|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled -[06-26 08:07:30|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples -[06-26 08:07:30|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/car_color/hybrid/config.yaml -[06-26 08:07:30|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_car_color_hybrid'] -[06-26 08:07:30|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_car_color_hybrid -[06-26 08:07:30|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_car_color_hybrid' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The vehicles moving through the junction are glossy vivid candy-red, their bright paint catching the sunlight and reflecting the sky. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, low-rise buildings and sidewalks line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, crisp reflections, detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Dull grey washed-out cars, color bleeding onto road or buildings, melted or deformed vehicle bodies.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None) -[06-26 08:07:30|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/car_color/hybrid/sunny_car_color_hybrid.json -[06-26 08:07:30|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled -[06-26 08:07:30|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4', 'edge_mask': None, 'edge_mask_prompt': None} -[06-26 08:07:30|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video... -[06-26 08:07:30|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4 -[06-26 08:07:30|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 08:07:31|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings... -[06-26 08:07:31|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings... -[06-26 08:07:31|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available... -[06-26 08:07:31|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided. -[06-26 08:07:31|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs... -[06-26 08:07:31|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4 -[06-26 08:07:31|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 08:07:32|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2 -[06-26 08:07:32|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845 -[06-26 08:07:32|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY] -[06-26 08:07:32|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context -[06-26 08:07:32|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 08:07:32|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context -[06-26 08:07:32|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 08:08:00|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 08:12:48|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2 -[06-26 08:12:49|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774 -[06-26 08:12:49|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY] -[06-26 08:12:49|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context -[06-26 08:12:49|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 08:12:49|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context -[06-26 08:12:49|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 08:12:51|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 08:17:34|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 298.8062107216101 -[06-26 08:17:34|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 08:17:36|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/car_color/hybrid/sunny_car_color_hybrid_control_edge.mp4 -[06-26 08:17:36|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled -[06-26 08:17:36|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 08:17:38|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/car_color/hybrid/sunny_car_color_hybrid.mp4 diff --git a/multicontrol_edgecompare_grid/sunny/car_color/hybrid/spec.json b/multicontrol_edgecompare_grid/sunny/car_color/hybrid/spec.json deleted file mode 100644 index b87dd5c5104648ac1ca11dd383e5839524ff45dd..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/car_color/hybrid/spec.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "name": "sunny_car_color_hybrid", - "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The vehicles moving through the junction are glossy vivid candy-red, their bright paint catching the sunlight and reflecting the sky. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, low-rise buildings and sidewalks line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, crisp reflections, detail.", - "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4", - "guidance": 3, - "num_steps": 35, - "seed": 2025, - "edge": { - "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4", - "control_weight": 1.0 - }, - "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Dull grey washed-out cars, color bleeding onto road or buildings, melted or deformed vehicle bodies." -} \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/car_color/hybrid/sunny_car_color_hybrid.json b/multicontrol_edgecompare_grid/sunny/car_color/hybrid/sunny_car_color_hybrid.json deleted file mode 100644 index 6e48206fd010520fee8b5f861fca124853217a58..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/car_color/hybrid/sunny_car_color_hybrid.json +++ /dev/null @@ -1 +0,0 @@ -{"name":"sunny_car_color_hybrid","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The vehicles moving through the junction are glossy vivid candy-red, their bright paint catching the sunlight and reflecting the sky. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, low-rise buildings and sidewalks line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, crisp reflections, detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Dull grey washed-out cars, color bleeding onto road or buildings, melted or deformed vehicle bodies.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null} \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/car_color/hybrid/sunny_car_color_hybrid.mp4 b/multicontrol_edgecompare_grid/sunny/car_color/hybrid/sunny_car_color_hybrid.mp4 deleted file mode 100644 index 375f62ae51c840fe8a3afa8693bfa732aeaa6953..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/car_color/hybrid/sunny_car_color_hybrid.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:8dd2f5cb9b0ca12a94544c546f5177e6395f87944fc53589a4386f18a307d4f8 -size 744483 diff --git a/multicontrol_edgecompare_grid/sunny/car_color/hybrid/sunny_car_color_hybrid.txt b/multicontrol_edgecompare_grid/sunny/car_color/hybrid/sunny_car_color_hybrid.txt deleted file mode 100644 index fbf2a8dffc052cac0a505f5c4495fd4272edebd0..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/car_color/hybrid/sunny_car_color_hybrid.txt +++ /dev/null @@ -1 +0,0 @@ -The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The vehicles moving through the junction are glossy vivid candy-red, their bright paint catching the sunlight and reflecting the sky. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, low-rise buildings and sidewalks line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, crisp reflections, detail. \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/car_color/hybrid/sunny_car_color_hybrid_control_edge.mp4 b/multicontrol_edgecompare_grid/sunny/car_color/hybrid/sunny_car_color_hybrid_control_edge.mp4 deleted file mode 100644 index 7c83c9975e329bdb864782bbfe30f99966758778..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/car_color/hybrid/sunny_car_color_hybrid_control_edge.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:4f9c30826efca23d4963aa1e7b75ecd71bd7d93036028d729db3cf6cca212fb9 -size 3640682 diff --git a/multicontrol_edgecompare_grid/sunny/car_color/semseg/config.yaml b/multicontrol_edgecompare_grid/sunny/car_color/semseg/config.yaml deleted file mode 100644 index a16bb346a89ce0c148ac39f1cd4d69d007c975cd..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/car_color/semseg/config.yaml +++ /dev/null @@ -1,882 +0,0 @@ -checkpoint: - broadcast_via_filesystem: 'False' - dcp_async_mode_enabled: 'False' - enable_gcs_patch_in_boto3: 'False' - jit: - device: cuda - dtype: bfloat16 - enabled: 'False' - input_shape: null - strict: 'True' - keys_not_to_resume: [] - keys_to_skip_loading: [] - load_ema_to_reg: 'False' - load_from_object_store: - bucket: bucket - credentials: credentials/s3_checkpoint.secret - enabled: 'True' - load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 - load_training_state: 'False' - only_load_scheduler_state: 'False' - save_iter: '1000' - save_to_object_store: - bucket: bucket - credentials: credentials/s3_checkpoint.secret - enabled: 'True' - strict_resume: 'False' - type: - _target_: - callbacks: null - disable_async: 'False' - verbose: 'True' -dataloader_train: - dataloaders: - image_data: - ratio: '0' - video_data: - dataloader: - batch_size: '1' - cache_augment_fn: functools.partial(, n=1.8) - cache_size: '32' - concat_size: '1' - dataset: - augmentor_name: video_basic_augmentor_v2_with_control_and_image_context - caption_type: t2w_qwen2p5_7b - control_input_type: edge - dataset_resolution_type: gt720p - embedding_type: null - max_fps_thres: '60' - min_fps_thres: '10' - num_video_frames: '93' - resolution: '720' - use_native_fps: 'True' - video_decoder_name: video_naive_bytes - num_workers: '4' - use_cache: 'False' - ratio: '1' - video_data_1: - dataloader: - batch_size: '6' - cache_augment_fn: functools.partial(, n=1.8) - cache_size: '32' - concat_size: '1' - dataset: - augmentor_name: video_basic_augmentor_v2_with_control_and_image_context - caption_type: t2w_qwen2p5_7b - control_input_type: edge - dataset_resolution_type: gt720p - embedding_type: null - num_video_frames: '1' - resolution: '720' - use_native_fps: 'True' - video_decoder_name: video_naive_bytes - num_workers: '4' - use_cache: 'False' - ratio: '1' - dataset: - augmentor_name: video_basic_augmentor_v2_with_control - caption_type: t2w_qwen2p5_7b - control_input_type: edge - dataset_resolution_type: gt720p - embedding_type: null - max_fps_thres: '60' - min_fps_thres: '10' - num_video_frames: '93' - resolution: '720' - use_native_fps: 'True' - video_decoder_name: video_naive_bytes - num_workers: '4' -dataloader_val: - _target_: - dataloaders: - image_data: - dataloader: - _target_: - batch_size: '2' - cache_augment_fn: null - cache_replay_name: image_dataloader - cache_size: '32' - concat_size: '1' - dataset: - _target_: - len_t5: '512' - resolution: '512' - t5_dim: '1024' - num_workers: '8' - pin_memory: 'True' - shuffle: 'False' - use_cache: 'False' - webdataset: 'False' - ratio: '1' - video_data: - dataloader: - _target_: - batch_size: '1' - cache_augment_fn: null - cache_replay_name: video_dataloader - cache_size: '32' - concat_size: '1' - dataset: - _target_: - len_t5: '512' - num_video_frames: '136' - resolution: '512' - t5_dim: '1024' - num_workers: '8' - pin_memory: 'True' - shuffle: 'False' - use_cache: 'False' - webdataset: 'False' - ratio: '1' -defaults: -- _self_ -- data_train: mock -- data_val: mock -- optimizer: fusedadamw -- scheduler: lambdalinear -- model: ddp -- callbacks: basic -- net: null -- conditioner: video_prediction_control_conditioner -- ema: power -- tokenizer: wan2pt1_tokenizer -- checkpoint: s3 -- ckpt_type: dummy -- experiment: null -job: - cluster: null - group: vid2vid_2B_control - name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow_with_image_context_with_image_data - project: cosmos_transfer2 - wandb_mode: online -model: - _recursive_: 'False' - _target_: - config: - base_load_from: null - conditional_frame_timestep: -1.0 - conditional_frames_probs: - 0: 0.4 - 1: 0.4 - 2: 0.2 - conditioner: - _target_: - control_input_depth: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_depth - output_key: control_input_depth - control_input_depth_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_depth_mask - output_key: control_input_depth_mask - control_input_edge: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_edge - output_key: control_input_edge - control_input_edge_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_edge_mask - output_key: control_input_edge_mask - control_input_inpaint: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_inpaint - output_key: control_input_inpaint - control_input_inpaint_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_inpaint_mask - output_key: control_input_inpaint_mask - control_input_seg: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_seg - output_key: control_input_seg - control_input_seg_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_seg_mask - output_key: control_input_seg_mask - control_input_vis: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_vis - output_key: control_input_vis - control_input_vis_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_vis_mask - output_key: control_input_vis_mask - fps: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: fps - output_key: fps - padding_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: padding_mask - output_key: padding_mask - reference_image_context: - _target_: - dropout_rate: '0.5' - input_key: - - images - - video - - image_context - num_token: '256' - output_key: null - text: - _target_: - credential_path: credentials/s3_training.secret - dropout_rate: '0.2' - empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt - input_key: - - t5_text_embeddings - use_empty_string: 'False' - use_video_condition: - _target_: - dropout_rate: '0.0' - input_key: fps - output_key: use_video_condition - conditioning_strategy: frame_replace - copy_weight_strategy: first_n - denoise_replace_gt_frames: true - ema: - enabled: false - iteration_shift: 0 - rate: 0.1 - fsdp_shard_size: 1 - high_sigma_ratio: 0.05 - high_sigma_timesteps_max: 1000 - high_sigma_timesteps_min: 980 - hint_keys: edge - init_lora_weights: true - input_caption_key: ai_caption - input_data_key: video - input_image_key: images - lora_alpha: 32 - lora_rank: 32 - lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2 - max_num_conditional_frames: 2 - min_num_conditional_frames: 0 - net: - _target_: - adaln_lora_dim: '256' - atten_backend: minimal_a2a - concat_padding_mask: 'True' - condition_strategy: spaced - crossattn_emb_channels: '1024' - crossattn_proj_in_channels: '100352' - extra_image_context_dim: '1152' - extra_per_block_abs_pos_emb: 'False' - img_context_deep_proj: 'False' - in_channels: '16' - max_frames: '128' - max_img_h: '240' - max_img_w: '240' - mlp_ratio: '4.0' - model_channels: '2048' - num_blocks: '28' - num_control_branches: '1' - num_heads: '16' - num_max_modalities: '8' - out_channels: '16' - patch_spatial: '2' - patch_temporal: '1' - pos_emb_cls: rope3d - pos_emb_interpolation: crop - pos_emb_learnable: 'True' - rope_enable_fps_modulation: 'False' - rope_h_extrapolation_ratio: '3.0' - rope_t_extrapolation_ratio: '1.0' - rope_w_extrapolation_ratio: '3.0' - sac_config: - every_n_blocks: 1 - mode: predict2_2b_720_aggressive - separate_embedders: 'False' - share_q_in_i2v_cross_attn: 'False' - spatial_compression_factor: '8' - timestep_scale: '0.001' - use_adaln_lora: 'True' - use_after_proj_for_multi_branch: 'True' - use_crossattn_projection: 'True' - use_cuda_graphs: 'False' - use_input_hint_block: 'False' - use_wan_fp32_strategy: 'True' - vace_block_every_n: '7' - vace_has_mask: 'False' - precision: bfloat16 - resolution: '720' - shift: 5 - state_ch: 16 - state_t: 24 - text_encoder_class: reason1p1_7B - text_encoder_config: - ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/ - compute_online: true - embedding_concat_strategy: full_concat - model_config: - _target_: - model_config: - _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig - activation_checkpoint: - mode: selective - models: vlm - selective_ac_option: op - add_answer_tag: 'True' - add_cross_attention: 'False' - add_image_start_end_tag: 'False' - add_tile_tag: 'False' - architectures: - - Qwen2_5_VLForConditionalGeneration - attention_dropout: '0.0' - attn_implementation: flash_attention_2 - attn_implementation_autoset: 'True' - aux_loss_coeff: '0.0' - bad_words_ids: null - begin_suppress_tokens: null - bos_token_id: '151643' - cache_dir: null - checkpoint: - async_mode: disabled - create_seed_checkpoint: false - enable_checkpoint: false - export_dtype: float32 - folder: checkpoint - interval: 500 - interval_type: steps - model_weights_only: false - chunk_size_feed_forward: '0' - ckpt_dir: null - ckpt_path: null - comm: - init_timeout_seconds: 300 - trace_buf_size: 20000 - train_timeout_seconds: 100 - cp_size: null - cross_attention_hidden_size: null - decoder_start_token_id: null - deterministic: 'False' - diversity_penalty: '0.0' - do_sample: 'False' - early_stopping: 'False' - encoder_no_repeat_ngram_size: '0' - eos_token_id: '151645' - ep_size: null - experimental: - enable_async_tensor_parallel: false - enable_compiled_autograd: false - pipeline_parallel_degree: 1 - exponential_decay_length_penalty: null - finetuning_task: null - float8: - enable_float8_linear: false - forced_bos_token_id: null - forced_eos_token_id: null - freeze_llm: 'False' - freeze_mm_projector: 'False' - freeze_vision_encoder: 'False' - fsdp_enabled: 'False' - hidden_act: silu - hidden_size: '3584' - id2label: - 0: LABEL_0 - 1: LABEL_1 - image_token_id: '151655' - initializer_range: '0.02' - intermediate_size: '18944' - is_decoder: 'False' - is_encoder_decoder: 'False' - label2id: - LABEL_0: '0' - LABEL_1: '1' - length_penalty: '1.0' - loss_per_token: 'True' - max_batch_size: '1' - max_length: '20' - max_position_embeddings: '128000' - max_seq_len: '128000' - max_window_layers: '28' - min_length: '0' - mm_projector: null - model_type: qwen2_5_vl - name_or_path: Qwen/Qwen2.5-VL-7B-Instruct - no_repeat_ngram_size: '0' - num_attention_heads: '28' - num_beam_groups: '1' - num_beams: '1' - num_hidden_layers: '28' - num_key_value_heads: '4' - num_return_sequences: '1' - num_tiles: '1' - optimizer: - early_step_in_backward: false - end_lr: 2.5e-05 - fused: false - init_lr: 1.0e-05 - lr: 0.0003 - lr_multiplier_llm: 1.0 - lr_multiplier_mm_projector: 1.0 - lr_multiplier_vision_encoder: 0.1 - name: AdamW - output_attentions: 'False' - output_hidden_states: 'True' - output_scores: 'False' - pad_token_id: null - precision: bfloat16 - prefix: null - prepend_padding: 'False' - problem_type: null - pruned_heads: _Nothing.NOTHING - remove_invalid_values: 'False' - repetition_penalty: '1.0' - return_dict: 'True' - return_dict_in_generate: 'False' - rms_norm_eps: 1e-06 - rope_scaling: - mrope_section: - - '16' - - '24' - - '24' - rope_type: default - type: default - rope_theta: '1000000.0' - s3_credential_path: credentials/pbss_dir.secret - seed: '0' - sep_token_id: null - sliding_window: '32768' - suppress_tokens: null - task_specific_params: null - temperature: '1.0' - tf_legacy_loss: 'False' - tie_encoder_decoder: 'False' - tie_word_embeddings: 'False' - tile_tag_type: space_separated - tokenizer_class: null - tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct - top_k: '50' - top_p: '1.0' - torch_dtype: bfloat16 - torchscript: 'False' - training: - compile: false - context_parallel_degree: 1 - data_parallel_replicate_degree: 1 - data_parallel_shard_degree: -1 - disable_loss_parallel: false - enable_cpu_offload: false - fsdp_reshard_after_forward: default - mixed_precision_param: bfloat16 - mixed_precision_reduce: float32 - steps: 400000 - tensor_parallel_degree: 1 - use_cosine_decay: false - use_linear_decay: true - warmup_steps: 1000 - training_seq_len: '4096' - transformers_version: 4.51.0.dev0 - typical_p: '1.0' - use_bfloat16: 'False' - use_cache: 'False' - use_fsdp2: 'True' - use_return_dict: 'True' - use_rope_from_torchtitan: 'False' - use_sliding_window: 'False' - video_token_id: '151656' - vision_config: - _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig - add_cross_attention: 'False' - architectures: null - attn_implementation: flash_attention_2 - attn_implementation_autoset: 'True' - bad_words_ids: null - begin_suppress_tokens: null - bos_token_id: null - chunk_size_feed_forward: '0' - cross_attention_hidden_size: null - decoder_start_token_id: null - depth: '32' - diversity_penalty: '0.0' - do_sample: 'False' - early_stopping: 'False' - embed_dim: null - encoder_no_repeat_ngram_size: '0' - eos_token_id: null - exponential_decay_length_penalty: null - finetuning_task: null - forced_bos_token_id: null - forced_eos_token_id: null - fullatt_block_indexes: - - '7' - - '15' - - '23' - - '31' - hidden_act: silu - hidden_size: '1280' - id2label: - 0: LABEL_0 - 1: LABEL_1 - in_channels: '3' - in_chans: '3' - intermediate_size: '3420' - is_decoder: 'False' - is_encoder_decoder: 'False' - label2id: - LABEL_0: '0' - LABEL_1: '1' - length_penalty: '1.0' - max_length: '20' - min_length: '0' - mlp_ratio: null - model_type: qwen2_5_vl - name_or_path: '' - no_repeat_ngram_size: '0' - num_beam_groups: '1' - num_beams: '1' - num_heads: '16' - num_return_sequences: '1' - out_hidden_size: '3584' - output_attentions: 'False' - output_hidden_states: 'False' - output_scores: 'False' - pad_token_id: null - patch_size: '14' - prefix: null - problem_type: null - pruned_heads: _Nothing.NOTHING - remove_invalid_values: 'False' - repetition_penalty: '1.0' - return_dict: 'True' - return_dict_in_generate: 'False' - sep_token_id: null - spatial_merge_size: '2' - spatial_patch_size: '14' - suppress_tokens: null - task_specific_params: null - temperature: '1.0' - temporal_patch_size: '2' - tf_legacy_loss: 'False' - tie_encoder_decoder: 'False' - tie_word_embeddings: 'True' - tokenizer_class: null - tokens_per_second: '2' - top_k: '50' - top_p: '1.0' - torch_dtype: bfloat16 - torchscript: 'False' - typical_p: '1.0' - use_bfloat16: 'False' - window_size: '112' - vision_encoder: openai/clip-vit-base-patch32 - vision_encoder_config: - depth_init: true - dim: 1024 - ffn_dim_multiplier: null - head_dim: null - hidden_act: null - hidden_dim: 4096 - image_size: 1024 - image_token_id: null - multiple_of: null - n_heads: 16 - n_kv_heads: null - n_layers: 24 - norm_eps: 1.0e-05 - norm_type: rmsnorm - num_channels: 3 - patch_size: 16 - proj_bias: null - qkv_bias: null - rope_theta: 10000.0 - use_cache: false - use_rope_from_torchtitan: false - vision_encoder_in_channels: '3' - vision_end_token_id: '151653' - vision_start_token_id: '151652' - vision_token_id: '151654' - vocab_size: '152064' - z_loss_coeff: '0.0' - tokenizer: - _target_: - cache_dir: null - tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct - n_layers_per_group: 5 - s3_credential_path: credentials/s3_checkpoint.secret - tokenizer: - _target_: - chunk_duration: '81' - load_mean_std: 'False' - name: wan2pt1_tokenizer - temporal_window: '16' - train_time_distribution: logitnormal - train_time_weight: uniform - use_dora: false - use_dynamic_shift: false - use_high_sigma_strategy: false - use_kerras_sigma_at_inference: false - use_lora: false - use_reference_image: true - use_torch_compile: false -model_parallel: - _cpu_offloading_context: null - async_tensor_model_parallel_allreduce: false - autocast_dtype: torch.float32 - barrier_with_L1_time: true - batch_p2p_comm: true - batch_p2p_sync: true - bf16: false - context_parallel_size: 8 - cpu_offloading: false - cpu_offloading_activations: true - cpu_offloading_double_buffering: false - cpu_offloading_num_layers: 0 - cpu_offloading_weights: true - cross_entropy_fusion_impl: native - cross_entropy_loss_fusion: false - deallocate_pipeline_outputs: false - defer_embedding_wgrad_compute: false - delay_wgrad_compute: false - deterministic_mode: false - enable_autocast: false - expert_model_parallel_size: 1 - expert_tensor_parallel_size: 1 - finalize_model_grads_func: null - fp16: false - grad_scale_func: null - grad_sync_func: null - gradient_accumulation_fusion: false - hierarchical_context_parallel_sizes: null - microbatch_group_size_per_vp_stage: 1 - moe_extended_tp: false - no_sync_func: null - num_microbatches_with_partial_activation_checkpoints: null - overlap_moe_expert_parallel_comm: false - overlap_p2p_comm: false - overlap_p2p_comm_warmup_flush: false - param_sync_func: null - params_dtype: torch.float32 - perform_initialization: true - pipeline_dtype: null - pipeline_model_parallel_comm_backend: null - pipeline_model_parallel_size: 1 - sequence_parallel: false - tensor_model_parallel_size: 1 - timers: null - tp_comm_atomic_ag: false - tp_comm_atomic_rs: false - tp_comm_bootstrap_backend: nccl - tp_comm_bulk_dgrad: true - tp_comm_bulk_wgrad: true - tp_comm_overlap: false - tp_comm_overlap_ag: true - tp_comm_overlap_disable_fc1: false - tp_comm_overlap_disable_qkv: false - tp_comm_overlap_rs: true - tp_comm_overlap_rs_dgrad: false - tp_comm_split_ag: true - tp_comm_split_rs: true - use_cpu_initialization: false - use_ring_exchange_p2p: false - use_te_rng_tracker: false - variable_seq_lengths: false - virtual_pipeline_model_parallel_size: null - wgrad_deferral_limit: 0 -optimizer: - _target_: - betas: - - '0.9' - - '0.999' - eps: 1e-08 - fused: 'True' - lr: '8.63e-05' - model: null - optim_type: adamw - weight_decay: '0.001' -scheduler: - _target_: - cycle_lengths: - - '100000' - f_max: - - '0.5' - f_min: - - '0.2' - f_start: - - 1e-06 - verbosity_interval: '0' - warm_up_steps: - - '100' -trainer: - callbacks: - compile_tokenizer: - _target_: - compile_after_iterations: '4' - dynamic: 'False' - enabled: 'True' - dataloader_speed: - _target_: - every_n: '200' - save_s3: 'True' - step_size: '1' - device_monitor: - _target_: - every_n: '200' - log_memory_detail: 'True' - save_s3: 'True' - step_size: '1' - upload_every_n_mul: '10' - every_n_sample_ema: - _target_: - every_n: '5000' - fix_batch_fp: null - fps: '16' - guidance: - - '0' - - '3' - - '7' - is_ema: 'True' - is_sample: 'True' - is_x0: 'False' - n_sample_to_save: '128' - n_viz_sample: '3' - n_x0_level: '4' - num_sampling_step: '35' - save_s3: 'True' - show_all_frames: 'False' - step_size: '1' - use_negative_prompt: 'False' - every_n_sample_reg: - _target_: - every_n: '5000' - fix_batch_fp: null - fps: '16' - guidance: - - '0' - - '3' - - '7' - is_ema: 'False' - is_sample: 'True' - is_x0: 'False' - n_sample_to_save: '128' - n_viz_sample: '3' - n_x0_level: '4' - num_sampling_step: '35' - save_s3: 'True' - show_all_frames: 'False' - step_size: '1' - use_negative_prompt: 'False' - frame_loss_log: - _target_: - logging_iter_multipler: '1' - save_logging_iter_multipler: '10' - save_s3: 'True' - grad_clip: - _target_: - clip_norm: '0.1' - force_finite: 'True' - heart_beat: - _target_: - every_n: '10' - save_s3: 'True' - step_size: '1' - update_interval_in_minute: '20' - iter_speed: - _target_: - every_n: '100' - hit_thres: '300' - save_s3: 'True' - save_s3_every_log_n: '10' - load_base_model: - _target_: - config: null - trainer: null - low_prec: - _target_: - config: null - trainer: null - update_iter: '1' - manual_gc: - _target_: - every_n: '200' - warm_up: '5' - wandb: - _target_: - logging_iter_multipler: '1' - save_logging_iter_multipler: '10' - save_s3: 'True' - wandb_10x: - _target_: - logging_iter_multipler: '10' - save_logging_iter_multipler: '1' - save_s3: 'True' - compile_config: - recompile_limit: '8' - use_duck_shape: 'True' - cudnn: - benchmark: 'True' - deterministic: 'False' - ddp: - broadcast_buffers: 'True' - find_unused_parameters: 'False' - static_graph: 'True' - distributed_parallelism: fsdp - grad_accum_iter: '1' - grad_scaler_args: - enabled: 'False' - logging_iter: '200' - max_iter: '100000' - max_val_iter: null - memory_format: torch.preserve_format - profiling: - enable_memory_snapshot: 'False' - enable_profiling: 'False' - profile_freq: '1' - profile_memory: 'False' - record_shape: 'False' - save_s3: 'False' - target_ranks: - - '0' - - '1' - - '2' - - '3' - - '4' - - '5' - - '6' - - '7' - with_modules: 'True' - with_stack: 'True' - run_validation: 'False' - run_validation_on_start: 'False' - seed: '0' - straggler_detection: - analyze_backward: 'True' - analyze_dataloading: 'True' - analyze_forward: 'True' - analyze_optimizer: 'True' - enabled: 'True' - max_diff: '1.5' - profile_freq: '1' - raise_error: 'True' - report_freq: '100' - timeout_period: '999999999' - type: - validation_iter: '100' -upload_reproducible_setup: 'True' diff --git a/multicontrol_edgecompare_grid/sunny/car_color/semseg/console.log b/multicontrol_edgecompare_grid/sunny/car_color/semseg/console.log deleted file mode 100644 index a98bd71cbc64d35f6c4ce19d5ffe73db9b39587e..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/car_color/semseg/console.log +++ /dev/null @@ -1,10 +0,0 @@ -[06-26 08:18:25|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples -[06-26 08:18:25|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/car_color/semseg/config.yaml -[06-26 08:18:25|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_car_color_semseg'] -[06-26 08:18:25|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_car_color_semseg -[06-26 08:18:25|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/car_color/semseg/sunny_car_color_semseg.json -[06-26 08:18:25|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled -[06-26 08:18:25|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4', 'edge_mask': None, 'edge_mask_prompt': None} -[06-26 08:28:31|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/car_color/semseg/sunny_car_color_semseg_control_edge.mp4 -[06-26 08:28:31|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled -[06-26 08:28:33|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/car_color/semseg/sunny_car_color_semseg.mp4 diff --git a/multicontrol_edgecompare_grid/sunny/car_color/semseg/debug.log b/multicontrol_edgecompare_grid/sunny/car_color/semseg/debug.log deleted file mode 100644 index 6d4ef76fa44a17f08e4873f91dc47d3bcc42e8ef..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/car_color/semseg/debug.log +++ /dev/null @@ -1,969 +0,0 @@ -[06-26 08:17:42|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False) -[06-26 08:17:44|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser -[06-26 08:17:44|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser -[06-26 08:18:04|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:] for the back comptiable pytorch! New DefaultLoadPlanner class is created. -[06-26 08:18:05|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:] for the back comptiable pytorch! New DefaultLoadPlanner class is created. -[06-26 08:18:05|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/car_color/semseg') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer= enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge']) -[06-26 08:18:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1... -[06-26 08:18:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2... -[06-26 08:18:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor... -[06-26 08:18:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control... -[06-26 08:18:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control... -[06-26 08:18:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control... -[06-26 08:18:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context... -[06-26 08:18:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input... -[06-26 08:18:06|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets... -[06-26 08:18:06|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found. -[06-26 08:18:06|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9. -[06-26 08:18:06|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment -[06-26 08:18:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore -[06-26 08:18:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale -[06-26 08:18:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit -[06-26 08:18:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list -[06-26 08:18:06|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av -[06-26 08:18:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore -[06-26 08:18:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale -[06-26 08:18:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list -[06-26 08:18:06|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments -[06-26 08:18:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot -[06-26 08:18:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example -[06-26 08:18:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview -[06-26 08:18:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example -[06-26 08:18:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview -[06-26 08:18:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example -[06-26 08:18:07|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 -[06-26 08:18:07|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0. -[06-26 08:18:07|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 -[06-26 08:18:07|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16 -[06-26 08:18:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8) -[06-26 08:18:08|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth -[06-26 08:18:08|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 0.66 s -[06-26 08:18:14|INFO|cosmos_transfer2/_src/transfer2/networks/siglip2.py:65:get_siglip2_model_processor] -[06-26 08:18:14|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: - ReMapkey - input key: fps - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: fps - Dtype: None -[06-26 08:18:14|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: - ReMapkey - input key: padding_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: padding_mask - Dtype: None -[06-26 08:18:14|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: - TextAttr - input key: ['t5_text_embeddings'] - Param count: 0 - Trainable: None - Dropout rate: 0.2 - Output key: [crossattn_emb] -[06-26 08:18:14|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: - BooleanFlag - input key: fps - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: use_video_condition - This is a boolean flag -[06-26 08:18:14|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: - ReMapkey - input key: control_input_edge - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_edge - Dtype: None -[06-26 08:18:14|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: - ReMapkey - input key: control_input_vis - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_vis - Dtype: None -[06-26 08:18:14|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: - ReMapkey - input key: control_input_depth - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_depth - Dtype: None -[06-26 08:18:14|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: - ReMapkey - input key: control_input_seg - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_seg - Dtype: None -[06-26 08:18:14|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: - ReMapkey - input key: control_input_inpaint - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_inpaint - Dtype: None -[06-26 08:18:14|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: - ReMapkey - input key: control_input_edge_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_edge_mask - Dtype: None -[06-26 08:18:14|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: - ReMapkey - input key: control_input_vis_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_vis_mask - Dtype: None -[06-26 08:18:14|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: - ReMapkey - input key: control_input_depth_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_depth_mask - Dtype: None -[06-26 08:18:14|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: - ReMapkey - input key: control_input_seg_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_seg_mask - Dtype: None -[06-26 08:18:14|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: - ReMapkey - input key: control_input_inpaint_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_inpaint_mask - Dtype: None -[06-26 08:18:14|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #14-reference_image_context: - SigLip2EmbImgContext - input key: ['images', 'video', 'image_context'] - Param count: 0 - Trainable: None - Dropout rate: 0.5 - Input key: ['images', 'video', 'image_context'] - Output key: ['img_context_emb'] -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag: True. We enable bias if no AdaLN LoRA for backward compatibility. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:14|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27 -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up I2VCrossAttentionFull. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.14 s -[06-26 08:18:15|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 1.56 s -[06-26 08:18:15|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 7.82 s -[06-26 08:18:15|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 7.82 s -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] -Freezing base model - -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:607:freeze_base_model] ✓ Unfroze img_context_proj -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 0 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 1 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 2 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 3 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 4 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 5 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 6 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 7 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 8 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 9 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 10 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 11 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 12 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 13 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 14 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 15 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 16 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 17 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 18 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 19 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 20 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 21 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 22 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 23 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 24 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 25 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 26 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:622:freeze_base_model] ✓ Unfroze reference image weights in ControlAwareDiTBlock 27 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 0 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 1 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 2 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:637:freeze_base_model] ✓ Unfroze reference image weights in ControlEncoderDiTBlock 3 -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint. -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block -[06-26 08:18:15|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block -[06-26 08:18:15|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model... -[06-26 08:18:15|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70) -[06-26 08:18:16|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache -[06-26 08:18:16|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16 -[06-26 08:18:16|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32 -[06-26 08:18:16|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/. -[06-26 08:18:16|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f) -[06-26 08:18:23|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423. -[06-26 08:18:23|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated -[06-26 08:18:23|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT( - (x_embedder): PatchEmbed( - (proj): Sequential( - (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2) - (1): Linear(in_features=72, out_features=2048, bias=False) - ) - ) - (pos_embedder): VideoRopePosition3DEmb() - (t_embedder): Sequential( - (0): Timesteps() - (1): TimestepEmbedding( - (linear_1): Linear(in_features=2048, out_features=2048, bias=False) - (activation): SiLU() - (linear_2): Linear(in_features=2048, out_features=6144, bias=False) - ) - ) - (blocks): ModuleList( - (0-27): 28 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlAwareDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): I2VCrossAttentionFull( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): DotProductAttention( - (flash_attention): FlashAttention() - (fused_attention): FusedAttention() - (unfused_attention): UnfusedDotProductAttention( - (scale_mask_softmax): FusedScaleMaskSoftmax() - (attention_dropout): Dropout(p=0, inplace=False) - ) - ) - (k_img): Linear(in_features=2048, out_features=2048, bias=False) - (v_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img_norm): RMSNorm() - (k_img_norm): RMSNorm() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - ) - ) - ) - (final_layer): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): FinalLayer( - (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (linear): Linear(in_features=2048, out_features=64, bias=False) - (adaln_modulation): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=4096, bias=False) - ) - ) - ) - ) - ) - (t_embedding_norm): RMSNorm() - (img_context_proj): Sequential( - (0): Linear(in_features=1152, out_features=2048, bias=True) - (1): GELU(approximate='none') - ) - (crossattn_proj): Sequential( - (0): Linear(in_features=100352, out_features=1024, bias=True) - (1): GELU(approximate='none') - ) - (control_embedder): PatchEmbed( - (proj): Sequential( - (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2) - (1): Linear(in_features=520, out_features=2048, bias=False) - ) - ) - (control_blocks): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): I2VCrossAttentionFull( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): DotProductAttention( - (flash_attention): FlashAttention() - (fused_attention): FusedAttention() - (unfused_attention): UnfusedDotProductAttention( - (scale_mask_softmax): FusedScaleMaskSoftmax() - (attention_dropout): Dropout(p=0, inplace=False) - ) - ) - (k_img): Linear(in_features=2048, out_features=2048, bias=False) - (v_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img_norm): RMSNorm() - (k_img_norm): RMSNorm() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): I2VCrossAttentionFull( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): DotProductAttention( - (flash_attention): FlashAttention() - (fused_attention): FusedAttention() - (unfused_attention): UnfusedDotProductAttention( - (scale_mask_softmax): FusedScaleMaskSoftmax() - (attention_dropout): Dropout(p=0, inplace=False) - ) - ) - (k_img): Linear(in_features=2048, out_features=2048, bias=False) - (v_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img): Linear(in_features=2048, out_features=2048, bias=False) - (q_img_norm): RMSNorm() - (k_img_norm): RMSNorm() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) -) -[06-26 08:18:23|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 15.91 s -[06-26 08:18:23|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125) -[06-26 08:18:23|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt -[06-26 08:18:25|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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blocks.22.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.0.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.1.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.2.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.attn_op._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.q_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks.3.cross_attn.k_img_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 08:18:25|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=[], unexpected_keys=[], incorrect_shapes=[]) -[06-26 08:18:25|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None -[06-26 08:18:25|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True). -[06-26 08:18:25|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled -[06-26 08:18:25|INFO|cosmos_transfer2/inference.py:146:__init__] Found 1 hint keys across all samples -[06-26 08:18:25|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/car_color/semseg/config.yaml -[06-26 08:18:25|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_car_color_semseg'] -[06-26 08:18:25|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_car_color_semseg -[06-26 08:18:25|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_car_color_semseg' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The vehicles moving through the junction are glossy vivid candy-red, their bright paint catching the sunlight and reflecting the sky. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, low-rise buildings and sidewalks line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, crisp reflections, detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Dull grey washed-out cars, color bleeding onto road or buildings, melted or deformed vehicle bodies.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=None seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None) -[06-26 08:18:25|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/car_color/semseg/sunny_car_color_semseg.json -[06-26 08:18:25|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled -[06-26 08:18:25|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4', 'edge_mask': None, 'edge_mask_prompt': None} -[06-26 08:18:25|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video... -[06-26 08:18:25|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4 -[06-26 08:18:26|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 08:18:26|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings... -[06-26 08:18:26|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings... -[06-26 08:18:26|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available... -[06-26 08:18:26|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided. -[06-26 08:18:26|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs... -[06-26 08:18:26|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4 -[06-26 08:18:27|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 08:18:27|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2 -[06-26 08:18:27|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845 -[06-26 08:18:27|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY] -[06-26 08:18:27|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context -[06-26 08:18:27|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 08:18:27|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context -[06-26 08:18:27|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 08:18:55|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 08:23:44|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2 -[06-26 08:23:44|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774 -[06-26 08:23:44|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY] -[06-26 08:23:44|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:255:get_condition_with_negative_prompt] Getting condition with image context -[06-26 08:23:44|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 08:23:44|INFO|cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/defaults/conditioner.py:257:get_condition_with_negative_prompt] Getting uncondition with negative prompt without image context -[06-26 08:23:44|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 08:23:47|WARNING|cosmos_transfer2/_src/transfer2/networks/siglip2_image_context.py:83:forward] No image_context provided, using zero latents -[06-26 08:28:29|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 298.9038645174587 -[06-26 08:28:30|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 08:28:31|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/car_color/semseg/sunny_car_color_semseg_control_edge.mp4 -[06-26 08:28:31|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled -[06-26 08:28:32|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 08:28:33|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/car_color/semseg/sunny_car_color_semseg.mp4 diff --git a/multicontrol_edgecompare_grid/sunny/car_color/semseg/spec.json b/multicontrol_edgecompare_grid/sunny/car_color/semseg/spec.json deleted file mode 100644 index 9b7963091142454ad4d800dccffe0925cc0decd5..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/car_color/semseg/spec.json +++ /dev/null @@ -1,13 +0,0 @@ -{ - "name": "sunny_car_color_semseg", - "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The vehicles moving through the junction are glossy vivid candy-red, their bright paint catching the sunlight and reflecting the sky. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, low-rise buildings and sidewalks line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, crisp reflections, detail.", - "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4", - "guidance": 3, - "num_steps": 35, - "seed": 2025, - "edge": { - "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4", - "control_weight": 1.0 - }, - "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Dull grey washed-out cars, color bleeding onto road or buildings, melted or deformed vehicle bodies." -} \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/car_color/semseg/sunny_car_color_semseg.json b/multicontrol_edgecompare_grid/sunny/car_color/semseg/sunny_car_color_semseg.json deleted file mode 100644 index 0b3d5ae2abd4f506bc9fb30bf67f372c0655f42e..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/car_color/semseg/sunny_car_color_semseg.json +++ /dev/null @@ -1 +0,0 @@ -{"name":"sunny_car_color_semseg","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The vehicles moving through the junction are glossy vivid candy-red, their bright paint catching the sunlight and reflecting the sky. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, low-rise buildings and sidewalks line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, crisp reflections, detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Dull grey washed-out cars, color bleeding onto road or buildings, melted or deformed vehicle bodies.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":null,"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null} \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/car_color/semseg/sunny_car_color_semseg.mp4 b/multicontrol_edgecompare_grid/sunny/car_color/semseg/sunny_car_color_semseg.mp4 deleted file mode 100644 index 9edd103213a58cf10b378f59d915ba5f20908ea8..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/car_color/semseg/sunny_car_color_semseg.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:a060845c8382715abf9fded6e09ac7d9035c7c6100acf2b71b059463692da123 -size 1836150 diff --git a/multicontrol_edgecompare_grid/sunny/car_color/semseg/sunny_car_color_semseg.txt b/multicontrol_edgecompare_grid/sunny/car_color/semseg/sunny_car_color_semseg.txt deleted file mode 100644 index fbf2a8dffc052cac0a505f5c4495fd4272edebd0..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/car_color/semseg/sunny_car_color_semseg.txt +++ /dev/null @@ -1 +0,0 @@ -The video shows an urban intersection captured from a vehicle-mounted camera in bright daylight. The vehicles moving through the junction are glossy vivid candy-red, their bright paint catching the sunlight and reflecting the sky. A road network with painted lane markings, stop lines and pedestrian crosswalks runs through the scene, low-rise buildings and sidewalks line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, crisp reflections, detail. \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/car_color/semseg/sunny_car_color_semseg_control_edge.mp4 b/multicontrol_edgecompare_grid/sunny/car_color/semseg/sunny_car_color_semseg_control_edge.mp4 deleted file mode 100644 index 517a976ec0a5d8e4a484eb65a5ac5ad8308f733a..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/car_color/semseg/sunny_car_color_semseg_control_edge.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:57c1f383a1f61fc52a275e2a3d237bee50a45e7901dc709b401226496891cd0c -size 1406752 diff --git a/multicontrol_edgecompare_grid/sunny/weather/hybrid/config.yaml b/multicontrol_edgecompare_grid/sunny/weather/hybrid/config.yaml deleted file mode 100644 index 84d9ca77da3c151fbf04190dcd6985cf5859a6bb..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/weather/hybrid/config.yaml +++ /dev/null @@ -1,825 +0,0 @@ -checkpoint: - broadcast_via_filesystem: 'False' - dcp_async_mode_enabled: 'False' - enable_gcs_patch_in_boto3: 'False' - jit: - device: cuda - dtype: bfloat16 - enabled: 'False' - input_shape: null - strict: 'True' - keys_not_to_resume: [] - keys_to_skip_loading: [] - load_ema_to_reg: 'False' - load_from_object_store: - bucket: bucket - credentials: credentials/s3_checkpoint.secret - enabled: 'True' - load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 - load_training_state: 'False' - only_load_scheduler_state: 'False' - save_iter: '1000' - save_to_object_store: - bucket: bucket - credentials: credentials/s3_checkpoint.secret - enabled: 'True' - strict_resume: 'False' - type: - _target_: - callbacks: null - disable_async: 'False' - verbose: 'True' -dataloader_train: - dataset: - augmentor_name: video_basic_augmentor_v2_with_control - caption_type: t2w_qwen2p5_7b - control_input_type: edge_vis_depth_segcolor - dataset_resolution_type: gt720p - embedding_type: null - max_fps_thres: '60' - min_fps_thres: '10' - num_video_frames: '93' - resolution: '720' - use_native_fps: 'True' - video_decoder_name: video_naive_bytes - num_workers: '4' -dataloader_val: - _target_: - dataloaders: - image_data: - dataloader: - _target_: - batch_size: '2' - cache_augment_fn: null - cache_replay_name: image_dataloader - cache_size: '32' - concat_size: '1' - dataset: - _target_: - len_t5: '512' - resolution: '512' - t5_dim: '1024' - num_workers: '8' - pin_memory: 'True' - shuffle: 'False' - use_cache: 'False' - webdataset: 'False' - ratio: '1' - video_data: - dataloader: - _target_: - batch_size: '1' - cache_augment_fn: null - cache_replay_name: video_dataloader - cache_size: '32' - concat_size: '1' - dataset: - _target_: - len_t5: '512' - num_video_frames: '136' - resolution: '512' - t5_dim: '1024' - num_workers: '8' - pin_memory: 'True' - shuffle: 'False' - use_cache: 'False' - webdataset: 'False' - ratio: '1' -defaults: -- _self_ -- data_train: mock -- data_val: mock -- optimizer: fusedadamw -- scheduler: lambdalinear -- model: ddp -- callbacks: basic -- net: null -- conditioner: video_prediction_control_conditioner -- ema: power -- tokenizer: wan2pt1_tokenizer -- checkpoint: s3 -- ckpt_type: dummy -- experiment: null -job: - cluster: null - group: vid2vid_2B_control - name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow - project: cosmos_transfer2 - wandb_mode: online -model: - _recursive_: 'False' - _target_: - config: - base_load_from: null - conditional_frame_timestep: -1.0 - conditional_frames_probs: - 0: 0.4 - 1: 0.4 - 2: 0.2 - conditioner: - _target_: - control_input_depth: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_depth - output_key: control_input_depth - control_input_depth_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_depth_mask - output_key: control_input_depth_mask - control_input_edge: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_edge - output_key: control_input_edge - control_input_edge_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_edge_mask - output_key: control_input_edge_mask - control_input_inpaint: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_inpaint - output_key: control_input_inpaint - control_input_inpaint_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_inpaint_mask - output_key: control_input_inpaint_mask - control_input_seg: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_seg - output_key: control_input_seg - control_input_seg_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_seg_mask - output_key: control_input_seg_mask - control_input_vis: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_vis - output_key: control_input_vis - control_input_vis_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_vis_mask - output_key: control_input_vis_mask - fps: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: fps - output_key: fps - padding_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: padding_mask - output_key: padding_mask - text: - _target_: - credential_path: credentials/s3_training.secret - dropout_rate: '0.2' - empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt - input_key: - - t5_text_embeddings - use_empty_string: 'False' - use_video_condition: - _target_: - dropout_rate: '0.0' - input_key: fps - output_key: use_video_condition - conditioning_strategy: frame_replace - copy_weight_strategy: first_n - denoise_replace_gt_frames: true - ema: - enabled: false - iteration_shift: 0 - rate: 0.1 - fsdp_shard_size: 1 - high_sigma_ratio: 0.05 - high_sigma_timesteps_max: 1000 - high_sigma_timesteps_min: 980 - hint_keys: edge_vis_depth_seg - init_lora_weights: true - input_caption_key: ai_caption - input_data_key: video - input_image_key: images - lora_alpha: 32 - lora_rank: 32 - lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2 - max_num_conditional_frames: 2 - min_num_conditional_frames: 0 - net: - _target_: - adaln_lora_dim: '256' - atten_backend: minimal_a2a - concat_padding_mask: 'True' - condition_strategy: spaced - crossattn_emb_channels: '1024' - crossattn_proj_in_channels: '100352' - extra_per_block_abs_pos_emb: 'False' - in_channels: '16' - max_frames: '128' - max_img_h: '240' - max_img_w: '240' - mlp_ratio: '4.0' - model_channels: '2048' - num_blocks: '28' - num_control_branches: '4' - num_heads: '16' - num_max_modalities: '8' - out_channels: '16' - patch_spatial: '2' - patch_temporal: '1' - pos_emb_cls: rope3d - pos_emb_interpolation: crop - pos_emb_learnable: 'True' - rope_enable_fps_modulation: 'False' - rope_h_extrapolation_ratio: '3.0' - rope_t_extrapolation_ratio: '1.0' - rope_w_extrapolation_ratio: '3.0' - sac_config: - every_n_blocks: 1 - mode: predict2_2b_720_aggressive - separate_embedders: 'False' - spatial_compression_factor: '8' - timestep_scale: '0.001' - use_adaln_lora: 'True' - use_after_proj_for_multi_branch: 'False' - use_crossattn_projection: 'True' - use_cuda_graphs: 'False' - use_input_hint_block: 'False' - use_wan_fp32_strategy: 'True' - vace_block_every_n: '7' - vace_has_mask: 'False' - precision: bfloat16 - resolution: '720' - shift: 5 - state_ch: 16 - state_t: 24 - text_encoder_class: reason1p1_7B - text_encoder_config: - ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/ - compute_online: true - embedding_concat_strategy: full_concat - model_config: - _target_: - model_config: - _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig - activation_checkpoint: - mode: selective - models: vlm - selective_ac_option: op - add_answer_tag: 'True' - add_cross_attention: 'False' - add_image_start_end_tag: 'False' - add_tile_tag: 'False' - architectures: - - Qwen2_5_VLForConditionalGeneration - attention_dropout: '0.0' - attn_implementation: flash_attention_2 - attn_implementation_autoset: 'True' - aux_loss_coeff: '0.0' - bad_words_ids: null - begin_suppress_tokens: null - bos_token_id: '151643' - cache_dir: null - checkpoint: - async_mode: disabled - create_seed_checkpoint: false - enable_checkpoint: false - export_dtype: float32 - folder: checkpoint - interval: 500 - interval_type: steps - model_weights_only: false - chunk_size_feed_forward: '0' - ckpt_dir: null - ckpt_path: null - comm: - init_timeout_seconds: 300 - trace_buf_size: 20000 - train_timeout_seconds: 100 - cp_size: null - cross_attention_hidden_size: null - decoder_start_token_id: null - deterministic: 'False' - diversity_penalty: '0.0' - do_sample: 'False' - early_stopping: 'False' - encoder_no_repeat_ngram_size: '0' - eos_token_id: '151645' - ep_size: null - experimental: - enable_async_tensor_parallel: false - enable_compiled_autograd: false - pipeline_parallel_degree: 1 - exponential_decay_length_penalty: null - finetuning_task: null - float8: - enable_float8_linear: false - forced_bos_token_id: null - forced_eos_token_id: null - freeze_llm: 'False' - freeze_mm_projector: 'False' - freeze_vision_encoder: 'False' - fsdp_enabled: 'False' - hidden_act: silu - hidden_size: '3584' - id2label: - 0: LABEL_0 - 1: LABEL_1 - image_token_id: '151655' - initializer_range: '0.02' - intermediate_size: '18944' - is_decoder: 'False' - is_encoder_decoder: 'False' - label2id: - LABEL_0: '0' - LABEL_1: '1' - length_penalty: '1.0' - loss_per_token: 'True' - max_batch_size: '1' - max_length: '20' - max_position_embeddings: '128000' - max_seq_len: '128000' - max_window_layers: '28' - min_length: '0' - mm_projector: null - model_type: qwen2_5_vl - name_or_path: Qwen/Qwen2.5-VL-7B-Instruct - no_repeat_ngram_size: '0' - num_attention_heads: '28' - num_beam_groups: '1' - num_beams: '1' - num_hidden_layers: '28' - num_key_value_heads: '4' - num_return_sequences: '1' - num_tiles: '1' - optimizer: - early_step_in_backward: false - end_lr: 2.5e-05 - fused: false - init_lr: 1.0e-05 - lr: 0.0003 - lr_multiplier_llm: 1.0 - lr_multiplier_mm_projector: 1.0 - lr_multiplier_vision_encoder: 0.1 - name: AdamW - output_attentions: 'False' - output_hidden_states: 'True' - output_scores: 'False' - pad_token_id: null - precision: bfloat16 - prefix: null - prepend_padding: 'False' - problem_type: null - pruned_heads: _Nothing.NOTHING - remove_invalid_values: 'False' - repetition_penalty: '1.0' - return_dict: 'True' - return_dict_in_generate: 'False' - rms_norm_eps: 1e-06 - rope_scaling: - mrope_section: - - '16' - - '24' - - '24' - rope_type: default - type: default - rope_theta: '1000000.0' - s3_credential_path: credentials/pbss_dir.secret - seed: '0' - sep_token_id: null - sliding_window: '32768' - suppress_tokens: null - task_specific_params: null - temperature: '1.0' - tf_legacy_loss: 'False' - tie_encoder_decoder: 'False' - tie_word_embeddings: 'False' - tile_tag_type: space_separated - tokenizer_class: null - tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct - top_k: '50' - top_p: '1.0' - torch_dtype: bfloat16 - torchscript: 'False' - training: - compile: false - context_parallel_degree: 1 - data_parallel_replicate_degree: 1 - data_parallel_shard_degree: -1 - disable_loss_parallel: false - enable_cpu_offload: false - fsdp_reshard_after_forward: default - mixed_precision_param: bfloat16 - mixed_precision_reduce: float32 - steps: 400000 - tensor_parallel_degree: 1 - use_cosine_decay: false - use_linear_decay: true - warmup_steps: 1000 - training_seq_len: '4096' - transformers_version: 4.51.0.dev0 - typical_p: '1.0' - use_bfloat16: 'False' - use_cache: 'False' - use_fsdp2: 'True' - use_return_dict: 'True' - use_rope_from_torchtitan: 'False' - use_sliding_window: 'False' - video_token_id: '151656' - vision_config: - _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig - add_cross_attention: 'False' - architectures: null - attn_implementation: flash_attention_2 - attn_implementation_autoset: 'True' - bad_words_ids: null - begin_suppress_tokens: null - bos_token_id: null - chunk_size_feed_forward: '0' - cross_attention_hidden_size: null - decoder_start_token_id: null - depth: '32' - diversity_penalty: '0.0' - do_sample: 'False' - early_stopping: 'False' - embed_dim: null - encoder_no_repeat_ngram_size: '0' - eos_token_id: null - exponential_decay_length_penalty: null - finetuning_task: null - forced_bos_token_id: null - forced_eos_token_id: null - fullatt_block_indexes: - - '7' - - '15' - - '23' - - '31' - hidden_act: silu - hidden_size: '1280' - id2label: - 0: LABEL_0 - 1: LABEL_1 - in_channels: '3' - in_chans: '3' - intermediate_size: '3420' - is_decoder: 'False' - is_encoder_decoder: 'False' - label2id: - LABEL_0: '0' - LABEL_1: '1' - length_penalty: '1.0' - max_length: '20' - min_length: '0' - mlp_ratio: null - model_type: qwen2_5_vl - name_or_path: '' - no_repeat_ngram_size: '0' - num_beam_groups: '1' - num_beams: '1' - num_heads: '16' - num_return_sequences: '1' - out_hidden_size: '3584' - output_attentions: 'False' - output_hidden_states: 'False' - output_scores: 'False' - pad_token_id: null - patch_size: '14' - prefix: null - problem_type: null - pruned_heads: _Nothing.NOTHING - remove_invalid_values: 'False' - repetition_penalty: '1.0' - return_dict: 'True' - return_dict_in_generate: 'False' - sep_token_id: null - spatial_merge_size: '2' - spatial_patch_size: '14' - suppress_tokens: null - task_specific_params: null - temperature: '1.0' - temporal_patch_size: '2' - tf_legacy_loss: 'False' - tie_encoder_decoder: 'False' - tie_word_embeddings: 'True' - tokenizer_class: null - tokens_per_second: '2' - top_k: '50' - top_p: '1.0' - torch_dtype: bfloat16 - torchscript: 'False' - typical_p: '1.0' - use_bfloat16: 'False' - window_size: '112' - vision_encoder: openai/clip-vit-base-patch32 - vision_encoder_config: - depth_init: true - dim: 1024 - ffn_dim_multiplier: null - head_dim: null - hidden_act: null - hidden_dim: 4096 - image_size: 1024 - image_token_id: null - multiple_of: null - n_heads: 16 - n_kv_heads: null - n_layers: 24 - norm_eps: 1.0e-05 - norm_type: rmsnorm - num_channels: 3 - patch_size: 16 - proj_bias: null - qkv_bias: null - rope_theta: 10000.0 - use_cache: false - use_rope_from_torchtitan: false - vision_encoder_in_channels: '3' - vision_end_token_id: '151653' - vision_start_token_id: '151652' - vision_token_id: '151654' - vocab_size: '152064' - z_loss_coeff: '0.0' - tokenizer: - _target_: - cache_dir: null - tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct - n_layers_per_group: 5 - s3_credential_path: credentials/s3_checkpoint.secret - tokenizer: - _target_: - chunk_duration: '81' - load_mean_std: 'False' - name: wan2pt1_tokenizer - temporal_window: '16' - train_time_distribution: logitnormal - train_time_weight: reweighting - use_dora: false - use_dynamic_shift: false - use_high_sigma_strategy: false - use_kerras_sigma_at_inference: false - use_lora: false - use_reference_image: false - use_torch_compile: false -model_parallel: - _cpu_offloading_context: null - async_tensor_model_parallel_allreduce: false - autocast_dtype: torch.float32 - barrier_with_L1_time: true - batch_p2p_comm: true - batch_p2p_sync: true - bf16: false - context_parallel_size: 8 - cpu_offloading: false - cpu_offloading_activations: true - cpu_offloading_double_buffering: false - cpu_offloading_num_layers: 0 - cpu_offloading_weights: true - cross_entropy_fusion_impl: native - cross_entropy_loss_fusion: false - deallocate_pipeline_outputs: false - defer_embedding_wgrad_compute: false - delay_wgrad_compute: false - deterministic_mode: false - enable_autocast: false - expert_model_parallel_size: 1 - expert_tensor_parallel_size: 1 - finalize_model_grads_func: null - fp16: false - grad_scale_func: null - grad_sync_func: null - gradient_accumulation_fusion: false - hierarchical_context_parallel_sizes: null - microbatch_group_size_per_vp_stage: 1 - moe_extended_tp: false - no_sync_func: null - num_microbatches_with_partial_activation_checkpoints: null - overlap_moe_expert_parallel_comm: false - overlap_p2p_comm: false - overlap_p2p_comm_warmup_flush: false - param_sync_func: null - params_dtype: torch.float32 - perform_initialization: true - pipeline_dtype: null - pipeline_model_parallel_comm_backend: null - pipeline_model_parallel_size: 1 - sequence_parallel: false - tensor_model_parallel_size: 1 - timers: null - tp_comm_atomic_ag: false - tp_comm_atomic_rs: false - tp_comm_bootstrap_backend: nccl - tp_comm_bulk_dgrad: true - tp_comm_bulk_wgrad: true - tp_comm_overlap: false - tp_comm_overlap_ag: true - tp_comm_overlap_disable_fc1: false - tp_comm_overlap_disable_qkv: false - tp_comm_overlap_rs: true - tp_comm_overlap_rs_dgrad: false - tp_comm_split_ag: true - tp_comm_split_rs: true - use_cpu_initialization: false - use_ring_exchange_p2p: false - use_te_rng_tracker: false - variable_seq_lengths: false - virtual_pipeline_model_parallel_size: null - wgrad_deferral_limit: 0 -optimizer: - _target_: - betas: - - '0.9' - - '0.999' - eps: 1e-08 - fused: 'True' - lr: '8.63e-05' - model: null - optim_type: adamw - weight_decay: '0.001' -scheduler: - _target_: - cycle_lengths: - - '100000' - f_max: - - '0.5' - f_min: - - '0.2' - f_start: - - 1e-06 - verbosity_interval: '0' - warm_up_steps: - - '100' -trainer: - callbacks: - compile_tokenizer: - _target_: - compile_after_iterations: '4' - dynamic: 'False' - enabled: 'True' - dataloader_speed: - _target_: - every_n: '200' - save_s3: 'True' - step_size: '1' - device_monitor: - _target_: - every_n: '200' - log_memory_detail: 'True' - save_s3: 'True' - step_size: '1' - upload_every_n_mul: '10' - every_n_sample_ema: - _target_: - every_n: '5000' - fix_batch_fp: null - fps: '16' - guidance: - - '0' - - '3' - - '7' - is_ema: 'True' - is_sample: 'True' - is_x0: 'False' - n_sample_to_save: '128' - n_viz_sample: '3' - n_x0_level: '4' - num_sampling_step: '35' - save_s3: 'True' - show_all_frames: 'False' - step_size: '1' - use_negative_prompt: 'False' - every_n_sample_reg: - _target_: - every_n: '5000' - fix_batch_fp: null - fps: '16' - guidance: - - '0' - - '3' - - '7' - is_ema: 'False' - is_sample: 'True' - is_x0: 'False' - n_sample_to_save: '128' - n_viz_sample: '3' - n_x0_level: '4' - num_sampling_step: '35' - save_s3: 'True' - show_all_frames: 'False' - step_size: '1' - use_negative_prompt: 'False' - frame_loss_log: - _target_: - logging_iter_multipler: '1' - save_logging_iter_multipler: '10' - save_s3: 'True' - grad_clip: - _target_: - clip_norm: '0.1' - force_finite: 'True' - heart_beat: - _target_: - every_n: '10' - save_s3: 'True' - step_size: '1' - update_interval_in_minute: '20' - iter_speed: - _target_: - every_n: '100' - hit_thres: '300' - save_s3: 'True' - save_s3_every_log_n: '10' - load_base_model: - _target_: - config: null - trainer: null - low_prec: - _target_: - config: null - trainer: null - update_iter: '1' - manual_gc: - _target_: - every_n: '200' - warm_up: '5' - wandb: - _target_: - logging_iter_multipler: '1' - save_logging_iter_multipler: '10' - save_s3: 'True' - wandb_10x: - _target_: - logging_iter_multipler: '10' - save_logging_iter_multipler: '1' - save_s3: 'True' - compile_config: - recompile_limit: '8' - use_duck_shape: 'True' - cudnn: - benchmark: 'True' - deterministic: 'False' - ddp: - broadcast_buffers: 'True' - find_unused_parameters: 'False' - static_graph: 'True' - distributed_parallelism: fsdp - grad_accum_iter: '1' - grad_scaler_args: - enabled: 'False' - logging_iter: '200' - max_iter: '100000' - max_val_iter: null - memory_format: torch.preserve_format - profiling: - enable_memory_snapshot: 'False' - enable_profiling: 'False' - profile_freq: '1' - profile_memory: 'False' - record_shape: 'False' - save_s3: 'False' - target_ranks: - - '0' - - '1' - - '2' - - '3' - - '4' - - '5' - - '6' - - '7' - with_modules: 'True' - with_stack: 'True' - run_validation: 'False' - run_validation_on_start: 'False' - seed: '0' - straggler_detection: - analyze_backward: 'True' - analyze_dataloading: 'True' - analyze_forward: 'True' - analyze_optimizer: 'True' - enabled: 'True' - max_diff: '1.5' - profile_freq: '1' - raise_error: 'True' - report_freq: '100' - timeout_period: '999999999' - type: - validation_iter: '100' -upload_reproducible_setup: 'True' diff --git a/multicontrol_edgecompare_grid/sunny/weather/hybrid/console.log b/multicontrol_edgecompare_grid/sunny/weather/hybrid/console.log deleted file mode 100644 index cc68a67ea1eb87ee755a78e4d0032dc34b1fd38f..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/weather/hybrid/console.log +++ /dev/null @@ -1,12 +0,0 @@ -[06-26 06:41:51|INFO|cosmos_transfer2/inference.py:146:__init__] Found 2 hint keys across all samples -[06-26 06:41:51|WARNING|cosmos_transfer2/inference.py:148:__init__] Loading the multicontrol model. Multicontrol inference is not strictly equal to single control -[06-26 06:41:51|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/hybrid/config.yaml -[06-26 06:41:51|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_hybrid'] -[06-26 06:41:51|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_hybrid -[06-26 06:41:51|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid.json -[06-26 06:41:51|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled -[06-26 06:41:51|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4', 'edge_mask': None, 'edge_mask_prompt': None, 'vis': None, 'vis_mask': None, 'vis_mask_prompt': None} -[06-26 06:54:00|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid_control_edge.mp4 -[06-26 06:54:02|INFO|cosmos_transfer2/inference.py:311:_generate_sample] vis control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid_control_vis.mp4 -[06-26 06:54:02|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled -[06-26 06:54:04|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid.mp4 diff --git a/multicontrol_edgecompare_grid/sunny/weather/hybrid/debug.log b/multicontrol_edgecompare_grid/sunny/weather/hybrid/debug.log deleted file mode 100644 index 1ae9bb5af23993712b1419732baf7bf937f54c98..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/weather/hybrid/debug.log +++ /dev/null @@ -1,33578 +0,0 @@ -[06-26 06:37:27|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False) -[06-26 06:37:44|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser -[06-26 06:37:44|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser -[06-26 06:39:46|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:] for the back comptiable pytorch! New DefaultLoadPlanner class is created. -[06-26 06:39:54|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:] for the back comptiable pytorch! New DefaultLoadPlanner class is created. -[06-26 06:40:01|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/hybrid') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer= enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge', 'vis']) -[06-26 06:40:04|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1... -[06-26 06:40:04|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2... -[06-26 06:40:04|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor... -[06-26 06:40:04|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control... -[06-26 06:40:04|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control... -[06-26 06:40:04|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control... -[06-26 06:40:04|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context... -[06-26 06:40:04|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input... -[06-26 06:40:04|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets... -[06-26 06:40:05|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found. -[06-26 06:40:06|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9. -[06-26 06:40:06|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment -[06-26 06:40:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore -[06-26 06:40:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale -[06-26 06:40:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit -[06-26 06:40:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list -[06-26 06:40:06|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av -[06-26 06:40:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore -[06-26 06:40:06|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale -[06-26 06:40:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list -[06-26 06:40:07|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments -[06-26 06:40:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot -[06-26 06:40:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example -[06-26 06:40:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview -[06-26 06:40:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example -[06-26 06:40:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview -[06-26 06:40:07|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example -[06-26 06:40:08|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 -[06-26 06:40:08|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0. -[06-26 06:40:09|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 -[06-26 06:40:09|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16 -[06-26 06:40:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8) -[06-26 06:40:12|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth -[06-26 06:40:12|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 3.24 s -[06-26 06:40:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: - ReMapkey - input key: fps - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: fps - Dtype: None -[06-26 06:40:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: - ReMapkey - input key: padding_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: padding_mask - Dtype: None -[06-26 06:40:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: - TextAttr - input key: ['t5_text_embeddings'] - Param count: 0 - Trainable: None - Dropout rate: 0.2 - Output key: [crossattn_emb] -[06-26 06:40:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: - BooleanFlag - input key: fps - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: use_video_condition - This is a boolean flag -[06-26 06:40:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: - ReMapkey - input key: control_input_edge - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_edge - Dtype: None -[06-26 06:40:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: - ReMapkey - input key: control_input_vis - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_vis - Dtype: None -[06-26 06:40:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: - ReMapkey - input key: control_input_depth - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_depth - Dtype: None -[06-26 06:40:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: - ReMapkey - input key: control_input_seg - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_seg - Dtype: None -[06-26 06:40:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: - ReMapkey - input key: control_input_inpaint - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_inpaint - Dtype: None -[06-26 06:40:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: - ReMapkey - input key: control_input_edge_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_edge_mask - Dtype: None -[06-26 06:40:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: - ReMapkey - input key: control_input_vis_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_vis_mask - Dtype: None -[06-26 06:40:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: - ReMapkey - input key: control_input_depth_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_depth_mask - Dtype: None -[06-26 06:40:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: - ReMapkey - input key: control_input_seg_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_seg_mask - Dtype: None -[06-26 06:40:12|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: - ReMapkey - input key: control_input_inpaint_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_inpaint_mask - Dtype: None -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag: True. We enable bias if no AdaLN LoRA for backward compatibility. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26 -[06-26 06:40:13|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27 -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:40:13|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 06:40:14|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 06:40:16|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 2.53 s -[06-26 06:40:16|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 4.02 s -[06-26 06:40:16|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 4.03 s -[06-26 06:40:16|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 4.04 s -[06-26 06:40:16|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] -Freezing base model - -[06-26 06:40:16|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint. -[06-26 06:40:16|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block -[06-26 06:40:16|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block -[06-26 06:40:16|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block -[06-26 06:40:16|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block -[06-26 06:40:16|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model... -[06-26 06:40:16|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70) -[06-26 06:40:18|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache -[06-26 06:40:18|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16 -[06-26 06:40:18|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32 -[06-26 06:40:18|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/. -[06-26 06:40:18|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f) -[06-26 06:41:00|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423. -[06-26 06:41:00|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated -[06-26 06:41:00|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT( - (x_embedder): PatchEmbed( - (proj): Sequential( - (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2) - (1): Linear(in_features=72, out_features=2048, bias=False) - ) - ) - (pos_embedder): VideoRopePosition3DEmb() - (t_embedder): Sequential( - (0): Timesteps() - (1): TimestepEmbedding( - (linear_1): Linear(in_features=2048, out_features=2048, bias=False) - (activation): SiLU() - (linear_2): Linear(in_features=2048, out_features=6144, bias=False) - ) - ) - (blocks): ModuleList( - (0-27): 28 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlAwareDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - ) - ) - ) - (final_layer): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): FinalLayer( - (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (linear): Linear(in_features=2048, out_features=64, bias=False) - (adaln_modulation): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=4096, bias=False) - ) - ) - ) - ) - ) - ) - ) - ) - (t_embedding_norm): RMSNorm() - (crossattn_proj): Sequential( - (0): Linear(in_features=100352, out_features=1024, bias=True) - (1): GELU(approximate='none') - ) - (control_embedder): ModuleList( - (0-3): 4 x PatchEmbed( - (proj): Sequential( - (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2) - (1): Linear(in_features=520, out_features=2048, bias=False) - ) - ) - ) - (control_blocks_0): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) - (control_blocks_1): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) - (control_blocks_2): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) - (control_blocks_3): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) -) -[06-26 06:41:00|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 51.63 s -[06-26 06:41:00|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125) -[06-26 06:41:00|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt -[06-26 06:41:10|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:10|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['control_embedder.0.proj.1.weight', 'control_embedder.1.proj.1.weight', 'control_embedder.2.proj.1.weight', 'control_embedder.3.proj.1.weight', 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-[06-26 06:41:10|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True). -[06-26 06:41:10|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125) -[06-26 06:41:10|CRITICAL|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:694:load_multi_branch_checkpoints] Start loading checkpoint for control branch 0 from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt -[06-26 06:41:14|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:733:load_multi_branch_checkpoints] Checkpoint to model keys: {'net.accum_video_sample_counter': tensor(4575657222473777152), 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'net.control_blocks_0.3.adaln_modulation_cross_attn.1.weight': tensor([[-7.9102e-02, -7.6172e-02, -7.4707e-02, ..., -1.0252e-04, - -1.1730e-04, -1.0729e-04], - [ 3.0029e-02, 2.9297e-02, 2.8809e-02, ..., 9.4995e-07, - 2.6345e-05, 1.4687e-04], - [ 2.8442e-02, 2.7710e-02, 2.6489e-02, ..., 2.7466e-04, - 2.9755e-04, 2.0504e-04], - ..., - [ 6.4453e-02, 6.2988e-02, 6.2012e-02, ..., -1.8978e-04, - -1.8406e-04, -1.1444e-04], - [ 6.6895e-02, 6.4453e-02, 6.2988e-02, ..., -1.7643e-04, - -1.1778e-04, -1.6403e-04], - [-3.6133e-02, -3.5156e-02, -3.4424e-02, ..., -5.2929e-05, - 9.9659e-05, 1.2112e-04]], dtype=torch.bfloat16), 'net.control_blocks_0.3.adaln_modulation_cross_attn.2.weight': tensor([[-0.0038, -0.0112, -0.0028, ..., 0.0201, 0.0288, 0.0041], - [ 0.0071, -0.0090, 0.0116, ..., 0.0005, 0.0060, -0.0019], - [ 0.0011, -0.0026, 0.0036, ..., -0.0082, -0.0055, -0.0093], - ..., - [-0.0141, 0.0030, 0.0330, ..., 0.0052, 0.0139, 0.0052], - [-0.0225, 0.0114, 0.0369, ..., 0.0081, 0.0171, -0.0190], - [ 0.0266, -0.0216, 0.0052, ..., -0.0014, 0.0077, 0.0055]], - dtype=torch.bfloat16), 'net.control_blocks_0.3.adaln_modulation_mlp.1.weight': tensor([[-8.9844e-02, -8.6426e-02, -8.3984e-02, ..., 1.8787e-04, - 3.0899e-04, 2.5368e-04], - [ 2.2461e-02, 2.0264e-02, 1.9409e-02, ..., 1.8787e-04, - 2.6894e-04, 2.6321e-04], - [-9.2285e-02, -9.0332e-02, -8.9844e-02, ..., -4.0245e-04, - -3.2806e-04, -3.6621e-04], - ..., - [-8.2031e-02, -8.0566e-02, -7.9102e-02, ..., 2.1076e-04, - 3.1471e-04, 2.1172e-04], - [-6.1279e-02, -5.9570e-02, -5.8594e-02, ..., 2.2888e-04, - 9.2506e-05, 1.0252e-04], - [ 7.9102e-02, 7.7637e-02, 7.6660e-02, ..., -1.7738e-04, - -2.0599e-04, -1.6880e-04]], dtype=torch.bfloat16), 'net.control_blocks_0.3.adaln_modulation_mlp.2.weight': tensor([[ 0.0023, 0.0038, 0.0038, ..., -0.0055, -0.0086, 0.0069], - [-0.0018, -0.0021, 0.0057, ..., -0.0016, 0.0037, 0.0015], - [-0.0010, 0.0045, -0.0019, ..., -0.0009, -0.0012, 0.0011], - ..., - [-0.0413, 0.0198, -0.0593, ..., -0.0295, -0.0106, 0.0225], - [ 0.0091, -0.0100, 0.0258, ..., 0.0067, 0.0037, -0.0063], - [ 0.0154, 0.0053, 0.0056, ..., 0.0135, 0.0070, -0.0107]], - dtype=torch.bfloat16), 'net.control_blocks_0.3.after_proj.weight': tensor([[-0.0056, 0.0069, 0.0043, ..., 0.0067, 0.0135, -0.0127], - [-0.0050, -0.0069, 0.0068, ..., -0.0057, 0.0049, -0.0186], - [ 0.0104, -0.0056, 0.0124, ..., 0.0151, 0.0187, 0.0063], - ..., - [-0.0077, -0.0034, 0.0146, ..., 0.0031, -0.0150, -0.0096], - [-0.0122, -0.0050, -0.0278, ..., -0.0188, 0.0081, -0.0032], - [-0.0042, 0.0045, 0.0044, ..., -0.0145, 0.0129, 0.0003]], - dtype=torch.bfloat16), 'net.control_blocks_0.3.after_proj.bias': tensor([ 0.0081, -0.0087, -0.0045, ..., -0.0044, -0.0139, -0.0038], - dtype=torch.bfloat16)} -[06-26 06:41:14|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 06:41:14|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping 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06:41:14|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:14|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:14|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:14|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:14|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:14|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:14|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:14|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:14|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:14|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:14|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:14|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:14|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:14|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:14|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:14|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:14|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['control_embedder.1.proj.1.weight', 'control_embedder.2.proj.1.weight', 'control_embedder.3.proj.1.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 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06:41:29|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 06:41:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in 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Skipping key control_blocks_1.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:29|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 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06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:42|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['control_embedder.0.proj.1.weight', 'control_embedder.1.proj.1.weight', 'control_embedder.3.proj.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 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'control_blocks_2.3._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'control_blocks_2.3._checkpoint_wrapped_module.cross_attn.k_img_norm.weight'], incorrect_shapes=[]) -[06-26 06:41:42|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:735:load_multi_branch_checkpoints] Done loading the control branch 2 checkpoint. -[06-26 06:41:42|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/seg(5136ef49-6d8d-42e8-8abf-7dac722a304a) -[06-26 06:41:42|CRITICAL|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:694:load_multi_branch_checkpoints] Start loading checkpoint for control branch 3 from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/23057a4167b89de89a4a397fdbf3887994d115eb/general/seg/5136ef49-6d8d-42e8-8abf-7dac722a304a_ema_bf16.pt -[06-26 06:41:50|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:733:load_multi_branch_checkpoints] Checkpoint to model keys: {'net.accum_video_sample_counter': tensor(4575657222473777152), 'net.accum_image_sample_counter': tensor(4575657222473777152), 'net.accum_iteration': tensor(4575657222473777152), 'net.accum_train_in_hours': tensor(1., dtype=torch.bfloat16), 'net.x_embedder.proj.1.weight': tensor([[-0.0038, -0.0085, -0.0181, ..., 0.0075, -0.0039, -0.0038], - [ 0.0035, 0.0008, 0.0005, ..., -0.0284, 0.0127, -0.0237], - [ 0.0221, 0.0211, 0.0220, ..., -0.0183, 0.0103, 0.0027], - ..., - [ 0.0415, 0.0417, 0.0466, ..., 0.0079, -0.0136, 0.0092], - [ 0.0002, 0.0030, -0.0051, ..., -0.0566, -0.0515, -0.0825], - [-0.0140, -0.0126, -0.0109, ..., 0.0115, -0.0095, -0.0031]], - dtype=torch.bfloat16), 'net.pos_embedder.seq': tensor([ 0., 1., 2., 3., 4., 5., 6., 7., 8., 9., 10., 11., - 12., 13., 14., 15., 16., 17., 18., 19., 20., 21., 22., 23., - 24., 25., 26., 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-0.0047], - [ 0.0138, 0.0110, 0.0107, ..., 0.0124, 0.0065, -0.0101]], - dtype=torch.bfloat16), 'net.control_blocks_3.3.after_proj.weight': tensor([[ 0.0066, -0.0078, -0.0059, ..., -0.0055, 0.0026, -0.0152], - [ 0.0037, -0.0080, 0.0184, ..., -0.0098, -0.0061, -0.0095], - [ 0.0123, 0.0111, 0.0305, ..., 0.0052, 0.0048, -0.0076], - ..., - [ 0.0073, 0.0186, -0.0070, ..., 0.0038, -0.0143, -0.0076], - [-0.0108, -0.0059, -0.0055, ..., 0.0070, -0.0120, 0.0055], - [-0.0166, 0.0165, -0.0107, ..., -0.0049, 0.0009, 0.0073]], - dtype=torch.bfloat16), 'net.control_blocks_3.3.after_proj.bias': tensor([ 0.0026, -0.0143, -0.0110, ..., 0.0014, -0.0015, 0.0062], - dtype=torch.bfloat16)} -[06-26 06:41:50|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by 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blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:41:50|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['control_embedder.0.proj.1.weight', 'control_embedder.1.proj.1.weight', 'control_embedder.2.proj.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 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'control_blocks_3.3._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'control_blocks_3.3._checkpoint_wrapped_module.cross_attn.k_img_norm.weight'], incorrect_shapes=[]) -[06-26 06:41:50|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:735:load_multi_branch_checkpoints] Done loading the control branch 3 checkpoint. -[06-26 06:41:51|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled -[06-26 06:41:51|INFO|cosmos_transfer2/inference.py:146:__init__] Found 2 hint keys across all samples -[06-26 06:41:51|WARNING|cosmos_transfer2/inference.py:148:__init__] Loading the multicontrol model. Multicontrol inference is not strictly equal to single control -[06-26 06:41:51|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/hybrid/config.yaml -[06-26 06:41:51|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_hybrid'] -[06-26 06:41:51|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_hybrid -[06-26 06:41:51|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_weather_hybrid' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=BlurConfig(control_path=None, control_weight=0.2, mask_path=None, mask_prompt=None, preset_blur_strength='medium') seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None) -[06-26 06:41:51|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid.json -[06-26 06:41:51|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled -[06-26 06:41:51|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4', 'edge_mask': None, 'edge_mask_prompt': None, 'vis': None, 'vis_mask': None, 'vis_mask_prompt': None} -[06-26 06:41:51|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video... -[06-26 06:41:51|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4 -[06-26 06:41:53|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 06:41:53|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings... -[06-26 06:41:59|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings... -[06-26 06:41:59|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available... -[06-26 06:41:59|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided. -[06-26 06:41:59|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs... -[06-26 06:41:59|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4 -[06-26 06:42:00|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 06:42:00|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:703:read_and_process_control_input] No vis (blur) control input file found, will compute online.. -[06-26 06:42:00|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2 -[06-26 06:42:13|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845 -[06-26 06:42:13|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY] -[06-26 06:48:22|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2 -[06-26 06:48:35|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774 -[06-26 06:48:36|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY] -[06-26 06:53:58|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 355.24103135149926 -[06-26 06:53:59|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 06:54:00|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid_control_edge.mp4 -[06-26 06:54:01|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 06:54:02|INFO|cosmos_transfer2/inference.py:311:_generate_sample] vis control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid_control_vis.mp4 -[06-26 06:54:02|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled -[06-26 06:54:02|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 06:54:04|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid.mp4 diff --git a/multicontrol_edgecompare_grid/sunny/weather/hybrid/spec.json b/multicontrol_edgecompare_grid/sunny/weather/hybrid/spec.json deleted file mode 100644 index e0066d71c63a08948d02cf87f3672e6d8bcf1b10..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/weather/hybrid/spec.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "name": "sunny_weather_hybrid", - "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.", - "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4", - "guidance": 3, - "num_steps": 35, - "seed": 2025, - "edge": { - "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4", - "control_weight": 1.0 - }, - "vis": { - "control_weight": 0.2 - }, - "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows." -} \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid.json b/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid.json deleted file mode 100644 index 19214e7e1932e156124a389957dc0519967798eb..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid.json +++ /dev/null @@ -1 +0,0 @@ -{"name":"sunny_weather_hybrid","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_hybrid_edge.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":{"control_path":null,"control_weight":0.2,"mask_path":null,"mask_prompt":null,"preset_blur_strength":"medium"},"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null} \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid.mp4 b/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid.mp4 deleted file mode 100644 index 2bfe708ce6352891df3d5127179b1ea5fa5d3079..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:46ff84d18079eaa07e8a1ca6bcd330a6f4d672d9a6782ae3e7775fa955b2a78f -size 732266 diff --git a/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid.txt b/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid.txt deleted file mode 100644 index 464b6055f679cb63d0db8e54bd910217c87b403b..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid.txt +++ /dev/null @@ -1 +0,0 @@ -The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail. \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid_control_edge.mp4 b/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid_control_edge.mp4 deleted file mode 100644 index 7c83c9975e329bdb864782bbfe30f99966758778..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid_control_edge.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:4f9c30826efca23d4963aa1e7b75ecd71bd7d93036028d729db3cf6cca212fb9 -size 3640682 diff --git a/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid_control_vis.mp4 b/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid_control_vis.mp4 deleted file mode 100644 index 34f0b6e199ee4029ebdfebc39c17fa0c9132a9f0..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/weather/hybrid/sunny_weather_hybrid_control_vis.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:282799a9e77adfeeb3c049be5c9a739ce7b15b57f4e9e386fb937053bde1d587 -size 293428 diff --git a/multicontrol_edgecompare_grid/sunny/weather/semseg/config.yaml b/multicontrol_edgecompare_grid/sunny/weather/semseg/config.yaml deleted file mode 100644 index 396ba0ffdfa7a963685dc38c9f2dd519d333f2c2..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/weather/semseg/config.yaml +++ /dev/null @@ -1,825 +0,0 @@ -checkpoint: - broadcast_via_filesystem: 'False' - dcp_async_mode_enabled: 'False' - enable_gcs_patch_in_boto3: 'False' - jit: - device: cuda - dtype: bfloat16 - enabled: 'False' - input_shape: null - strict: 'True' - keys_not_to_resume: [] - keys_to_skip_loading: [] - load_ema_to_reg: 'False' - load_from_object_store: - bucket: bucket - credentials: credentials/s3_checkpoint.secret - enabled: 'True' - load_path: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 - load_training_state: 'False' - only_load_scheduler_state: 'False' - save_iter: '1000' - save_to_object_store: - bucket: bucket - credentials: credentials/s3_checkpoint.secret - enabled: 'True' - strict_resume: 'False' - type: - _target_: - callbacks: null - disable_async: 'False' - verbose: 'True' -dataloader_train: - dataset: - augmentor_name: video_basic_augmentor_v2_with_control - caption_type: t2w_qwen2p5_7b - control_input_type: edge_vis_depth_segcolor - dataset_resolution_type: gt720p - embedding_type: null - max_fps_thres: '60' - min_fps_thres: '10' - num_video_frames: '93' - resolution: '720' - use_native_fps: 'True' - video_decoder_name: video_naive_bytes - num_workers: '4' -dataloader_val: - _target_: - dataloaders: - image_data: - dataloader: - _target_: - batch_size: '2' - cache_augment_fn: null - cache_replay_name: image_dataloader - cache_size: '32' - concat_size: '1' - dataset: - _target_: - len_t5: '512' - resolution: '512' - t5_dim: '1024' - num_workers: '8' - pin_memory: 'True' - shuffle: 'False' - use_cache: 'False' - webdataset: 'False' - ratio: '1' - video_data: - dataloader: - _target_: - batch_size: '1' - cache_augment_fn: null - cache_replay_name: video_dataloader - cache_size: '32' - concat_size: '1' - dataset: - _target_: - len_t5: '512' - num_video_frames: '136' - resolution: '512' - t5_dim: '1024' - num_workers: '8' - pin_memory: 'True' - shuffle: 'False' - use_cache: 'False' - webdataset: 'False' - ratio: '1' -defaults: -- _self_ -- data_train: mock -- data_val: mock -- optimizer: fusedadamw -- scheduler: lambdalinear -- model: ddp -- callbacks: basic -- net: null -- conditioner: video_prediction_control_conditioner -- ema: power -- tokenizer: wan2pt1_tokenizer -- checkpoint: s3 -- ckpt_type: dummy -- experiment: null -job: - cluster: null - group: vid2vid_2B_control - name: vid2vid_2B_control_720p_t24_control_layer4_cr1pt1_embedding_rectified_flow - project: cosmos_transfer2 - wandb_mode: online -model: - _recursive_: 'False' - _target_: - config: - base_load_from: null - conditional_frame_timestep: -1.0 - conditional_frames_probs: - 0: 0.4 - 1: 0.4 - 2: 0.2 - conditioner: - _target_: - control_input_depth: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_depth - output_key: control_input_depth - control_input_depth_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_depth_mask - output_key: control_input_depth_mask - control_input_edge: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_edge - output_key: control_input_edge - control_input_edge_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_edge_mask - output_key: control_input_edge_mask - control_input_inpaint: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_inpaint - output_key: control_input_inpaint - control_input_inpaint_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_inpaint_mask - output_key: control_input_inpaint_mask - control_input_seg: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_seg - output_key: control_input_seg - control_input_seg_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_seg_mask - output_key: control_input_seg_mask - control_input_vis: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_vis - output_key: control_input_vis - control_input_vis_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: control_input_vis_mask - output_key: control_input_vis_mask - fps: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: fps - output_key: fps - padding_mask: - _target_: - dropout_rate: '0.0' - dtype: null - input_key: padding_mask - output_key: padding_mask - text: - _target_: - credential_path: credentials/s3_training.secret - dropout_rate: '0.2' - empty_string_embeddings_path: s3://bucket/predict2_assets/reason1_empty_string_embeddings.pt - input_key: - - t5_text_embeddings - use_empty_string: 'False' - use_video_condition: - _target_: - dropout_rate: '0.0' - input_key: fps - output_key: use_video_condition - conditioning_strategy: frame_replace - copy_weight_strategy: first_n - denoise_replace_gt_frames: true - ema: - enabled: false - iteration_shift: 0 - rate: 0.1 - fsdp_shard_size: 1 - high_sigma_ratio: 0.05 - high_sigma_timesteps_max: 1000 - high_sigma_timesteps_min: 980 - hint_keys: edge_vis_depth_seg - init_lora_weights: true - input_caption_key: ai_caption - input_data_key: video - input_image_key: images - lora_alpha: 32 - lora_rank: 32 - lora_target_modules: q_proj,k_proj,v_proj,output_proj,mlp.layer1,mlp.layer2 - max_num_conditional_frames: 2 - min_num_conditional_frames: 0 - net: - _target_: - adaln_lora_dim: '256' - atten_backend: minimal_a2a - concat_padding_mask: 'True' - condition_strategy: spaced - crossattn_emb_channels: '1024' - crossattn_proj_in_channels: '100352' - extra_per_block_abs_pos_emb: 'False' - in_channels: '16' - max_frames: '128' - max_img_h: '240' - max_img_w: '240' - mlp_ratio: '4.0' - model_channels: '2048' - num_blocks: '28' - num_control_branches: '4' - num_heads: '16' - num_max_modalities: '8' - out_channels: '16' - patch_spatial: '2' - patch_temporal: '1' - pos_emb_cls: rope3d - pos_emb_interpolation: crop - pos_emb_learnable: 'True' - rope_enable_fps_modulation: 'False' - rope_h_extrapolation_ratio: '3.0' - rope_t_extrapolation_ratio: '1.0' - rope_w_extrapolation_ratio: '3.0' - sac_config: - every_n_blocks: 1 - mode: predict2_2b_720_aggressive - separate_embedders: 'False' - spatial_compression_factor: '8' - timestep_scale: '0.001' - use_adaln_lora: 'True' - use_after_proj_for_multi_branch: 'False' - use_crossattn_projection: 'True' - use_cuda_graphs: 'False' - use_input_hint_block: 'False' - use_wan_fp32_strategy: 'True' - vace_block_every_n: '7' - vace_has_mask: 'False' - precision: bfloat16 - resolution: '720' - shift: 5 - state_ch: 16 - state_t: 24 - text_encoder_class: reason1p1_7B - text_encoder_config: - ckpt_path: s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/ - compute_online: true - embedding_concat_strategy: full_concat - model_config: - _target_: - model_config: - _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenModelConfig - activation_checkpoint: - mode: selective - models: vlm - selective_ac_option: op - add_answer_tag: 'True' - add_cross_attention: 'False' - add_image_start_end_tag: 'False' - add_tile_tag: 'False' - architectures: - - Qwen2_5_VLForConditionalGeneration - attention_dropout: '0.0' - attn_implementation: flash_attention_2 - attn_implementation_autoset: 'True' - aux_loss_coeff: '0.0' - bad_words_ids: null - begin_suppress_tokens: null - bos_token_id: '151643' - cache_dir: null - checkpoint: - async_mode: disabled - create_seed_checkpoint: false - enable_checkpoint: false - export_dtype: float32 - folder: checkpoint - interval: 500 - interval_type: steps - model_weights_only: false - chunk_size_feed_forward: '0' - ckpt_dir: null - ckpt_path: null - comm: - init_timeout_seconds: 300 - trace_buf_size: 20000 - train_timeout_seconds: 100 - cp_size: null - cross_attention_hidden_size: null - decoder_start_token_id: null - deterministic: 'False' - diversity_penalty: '0.0' - do_sample: 'False' - early_stopping: 'False' - encoder_no_repeat_ngram_size: '0' - eos_token_id: '151645' - ep_size: null - experimental: - enable_async_tensor_parallel: false - enable_compiled_autograd: false - pipeline_parallel_degree: 1 - exponential_decay_length_penalty: null - finetuning_task: null - float8: - enable_float8_linear: false - forced_bos_token_id: null - forced_eos_token_id: null - freeze_llm: 'False' - freeze_mm_projector: 'False' - freeze_vision_encoder: 'False' - fsdp_enabled: 'False' - hidden_act: silu - hidden_size: '3584' - id2label: - 0: LABEL_0 - 1: LABEL_1 - image_token_id: '151655' - initializer_range: '0.02' - intermediate_size: '18944' - is_decoder: 'False' - is_encoder_decoder: 'False' - label2id: - LABEL_0: '0' - LABEL_1: '1' - length_penalty: '1.0' - loss_per_token: 'True' - max_batch_size: '1' - max_length: '20' - max_position_embeddings: '128000' - max_seq_len: '128000' - max_window_layers: '28' - min_length: '0' - mm_projector: null - model_type: qwen2_5_vl - name_or_path: Qwen/Qwen2.5-VL-7B-Instruct - no_repeat_ngram_size: '0' - num_attention_heads: '28' - num_beam_groups: '1' - num_beams: '1' - num_hidden_layers: '28' - num_key_value_heads: '4' - num_return_sequences: '1' - num_tiles: '1' - optimizer: - early_step_in_backward: false - end_lr: 2.5e-05 - fused: false - init_lr: 1.0e-05 - lr: 0.0003 - lr_multiplier_llm: 1.0 - lr_multiplier_mm_projector: 1.0 - lr_multiplier_vision_encoder: 0.1 - name: AdamW - output_attentions: 'False' - output_hidden_states: 'True' - output_scores: 'False' - pad_token_id: null - precision: bfloat16 - prefix: null - prepend_padding: 'False' - problem_type: null - pruned_heads: _Nothing.NOTHING - remove_invalid_values: 'False' - repetition_penalty: '1.0' - return_dict: 'True' - return_dict_in_generate: 'False' - rms_norm_eps: 1e-06 - rope_scaling: - mrope_section: - - '16' - - '24' - - '24' - rope_type: default - type: default - rope_theta: '1000000.0' - s3_credential_path: credentials/pbss_dir.secret - seed: '0' - sep_token_id: null - sliding_window: '32768' - suppress_tokens: null - task_specific_params: null - temperature: '1.0' - tf_legacy_loss: 'False' - tie_encoder_decoder: 'False' - tie_word_embeddings: 'False' - tile_tag_type: space_separated - tokenizer_class: null - tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct - top_k: '50' - top_p: '1.0' - torch_dtype: bfloat16 - torchscript: 'False' - training: - compile: false - context_parallel_degree: 1 - data_parallel_replicate_degree: 1 - data_parallel_shard_degree: -1 - disable_loss_parallel: false - enable_cpu_offload: false - fsdp_reshard_after_forward: default - mixed_precision_param: bfloat16 - mixed_precision_reduce: float32 - steps: 400000 - tensor_parallel_degree: 1 - use_cosine_decay: false - use_linear_decay: true - warmup_steps: 1000 - training_seq_len: '4096' - transformers_version: 4.51.0.dev0 - typical_p: '1.0' - use_bfloat16: 'False' - use_cache: 'False' - use_fsdp2: 'True' - use_return_dict: 'True' - use_rope_from_torchtitan: 'False' - use_sliding_window: 'False' - video_token_id: '151656' - vision_config: - _target_: cosmos_transfer2._src.reason1.configs.default.model_config_qwen.QwenVisionConfig - add_cross_attention: 'False' - architectures: null - attn_implementation: flash_attention_2 - attn_implementation_autoset: 'True' - bad_words_ids: null - begin_suppress_tokens: null - bos_token_id: null - chunk_size_feed_forward: '0' - cross_attention_hidden_size: null - decoder_start_token_id: null - depth: '32' - diversity_penalty: '0.0' - do_sample: 'False' - early_stopping: 'False' - embed_dim: null - encoder_no_repeat_ngram_size: '0' - eos_token_id: null - exponential_decay_length_penalty: null - finetuning_task: null - forced_bos_token_id: null - forced_eos_token_id: null - fullatt_block_indexes: - - '7' - - '15' - - '23' - - '31' - hidden_act: silu - hidden_size: '1280' - id2label: - 0: LABEL_0 - 1: LABEL_1 - in_channels: '3' - in_chans: '3' - intermediate_size: '3420' - is_decoder: 'False' - is_encoder_decoder: 'False' - label2id: - LABEL_0: '0' - LABEL_1: '1' - length_penalty: '1.0' - max_length: '20' - min_length: '0' - mlp_ratio: null - model_type: qwen2_5_vl - name_or_path: '' - no_repeat_ngram_size: '0' - num_beam_groups: '1' - num_beams: '1' - num_heads: '16' - num_return_sequences: '1' - out_hidden_size: '3584' - output_attentions: 'False' - output_hidden_states: 'False' - output_scores: 'False' - pad_token_id: null - patch_size: '14' - prefix: null - problem_type: null - pruned_heads: _Nothing.NOTHING - remove_invalid_values: 'False' - repetition_penalty: '1.0' - return_dict: 'True' - return_dict_in_generate: 'False' - sep_token_id: null - spatial_merge_size: '2' - spatial_patch_size: '14' - suppress_tokens: null - task_specific_params: null - temperature: '1.0' - temporal_patch_size: '2' - tf_legacy_loss: 'False' - tie_encoder_decoder: 'False' - tie_word_embeddings: 'True' - tokenizer_class: null - tokens_per_second: '2' - top_k: '50' - top_p: '1.0' - torch_dtype: bfloat16 - torchscript: 'False' - typical_p: '1.0' - use_bfloat16: 'False' - window_size: '112' - vision_encoder: openai/clip-vit-base-patch32 - vision_encoder_config: - depth_init: true - dim: 1024 - ffn_dim_multiplier: null - head_dim: null - hidden_act: null - hidden_dim: 4096 - image_size: 1024 - image_token_id: null - multiple_of: null - n_heads: 16 - n_kv_heads: null - n_layers: 24 - norm_eps: 1.0e-05 - norm_type: rmsnorm - num_channels: 3 - patch_size: 16 - proj_bias: null - qkv_bias: null - rope_theta: 10000.0 - use_cache: false - use_rope_from_torchtitan: false - vision_encoder_in_channels: '3' - vision_end_token_id: '151653' - vision_start_token_id: '151652' - vision_token_id: '151654' - vocab_size: '152064' - z_loss_coeff: '0.0' - tokenizer: - _target_: - cache_dir: null - tokenizer_type: Qwen/Qwen2.5-VL-7B-Instruct - n_layers_per_group: 5 - s3_credential_path: credentials/s3_checkpoint.secret - tokenizer: - _target_: - chunk_duration: '81' - load_mean_std: 'False' - name: wan2pt1_tokenizer - temporal_window: '16' - train_time_distribution: logitnormal - train_time_weight: reweighting - use_dora: false - use_dynamic_shift: false - use_high_sigma_strategy: false - use_kerras_sigma_at_inference: false - use_lora: false - use_reference_image: false - use_torch_compile: false -model_parallel: - _cpu_offloading_context: null - async_tensor_model_parallel_allreduce: false - autocast_dtype: torch.float32 - barrier_with_L1_time: true - batch_p2p_comm: true - batch_p2p_sync: true - bf16: false - context_parallel_size: 8 - cpu_offloading: false - cpu_offloading_activations: true - cpu_offloading_double_buffering: false - cpu_offloading_num_layers: 0 - cpu_offloading_weights: true - cross_entropy_fusion_impl: native - cross_entropy_loss_fusion: false - deallocate_pipeline_outputs: false - defer_embedding_wgrad_compute: false - delay_wgrad_compute: false - deterministic_mode: false - enable_autocast: false - expert_model_parallel_size: 1 - expert_tensor_parallel_size: 1 - finalize_model_grads_func: null - fp16: false - grad_scale_func: null - grad_sync_func: null - gradient_accumulation_fusion: false - hierarchical_context_parallel_sizes: null - microbatch_group_size_per_vp_stage: 1 - moe_extended_tp: false - no_sync_func: null - num_microbatches_with_partial_activation_checkpoints: null - overlap_moe_expert_parallel_comm: false - overlap_p2p_comm: false - overlap_p2p_comm_warmup_flush: false - param_sync_func: null - params_dtype: torch.float32 - perform_initialization: true - pipeline_dtype: null - pipeline_model_parallel_comm_backend: null - pipeline_model_parallel_size: 1 - sequence_parallel: false - tensor_model_parallel_size: 1 - timers: null - tp_comm_atomic_ag: false - tp_comm_atomic_rs: false - tp_comm_bootstrap_backend: nccl - tp_comm_bulk_dgrad: true - tp_comm_bulk_wgrad: true - tp_comm_overlap: false - tp_comm_overlap_ag: true - tp_comm_overlap_disable_fc1: false - tp_comm_overlap_disable_qkv: false - tp_comm_overlap_rs: true - tp_comm_overlap_rs_dgrad: false - tp_comm_split_ag: true - tp_comm_split_rs: true - use_cpu_initialization: false - use_ring_exchange_p2p: false - use_te_rng_tracker: false - variable_seq_lengths: false - virtual_pipeline_model_parallel_size: null - wgrad_deferral_limit: 0 -optimizer: - _target_: - betas: - - '0.9' - - '0.999' - eps: 1e-08 - fused: 'True' - lr: '8.63e-05' - model: null - optim_type: adamw - weight_decay: '0.001' -scheduler: - _target_: - cycle_lengths: - - '100000' - f_max: - - '0.5' - f_min: - - '0.2' - f_start: - - 1e-06 - verbosity_interval: '0' - warm_up_steps: - - '100' -trainer: - callbacks: - compile_tokenizer: - _target_: - compile_after_iterations: '4' - dynamic: 'False' - enabled: 'True' - dataloader_speed: - _target_: - every_n: '200' - save_s3: 'True' - step_size: '1' - device_monitor: - _target_: - every_n: '200' - log_memory_detail: 'True' - save_s3: 'True' - step_size: '1' - upload_every_n_mul: '10' - every_n_sample_ema: - _target_: - every_n: '5000' - fix_batch_fp: null - fps: '16' - guidance: - - '0' - - '3' - - '7' - is_ema: 'True' - is_sample: 'True' - is_x0: 'False' - n_sample_to_save: '128' - n_viz_sample: '3' - n_x0_level: '4' - num_sampling_step: '35' - save_s3: 'True' - show_all_frames: 'False' - step_size: '1' - use_negative_prompt: 'False' - every_n_sample_reg: - _target_: - every_n: '5000' - fix_batch_fp: null - fps: '16' - guidance: - - '0' - - '3' - - '7' - is_ema: 'False' - is_sample: 'True' - is_x0: 'False' - n_sample_to_save: '128' - n_viz_sample: '3' - n_x0_level: '4' - num_sampling_step: '35' - save_s3: 'True' - show_all_frames: 'False' - step_size: '1' - use_negative_prompt: 'False' - frame_loss_log: - _target_: - logging_iter_multipler: '1' - save_logging_iter_multipler: '10' - save_s3: 'True' - grad_clip: - _target_: - clip_norm: '0.1' - force_finite: 'True' - heart_beat: - _target_: - every_n: '10' - save_s3: 'True' - step_size: '1' - update_interval_in_minute: '20' - iter_speed: - _target_: - every_n: '100' - hit_thres: '300' - save_s3: 'True' - save_s3_every_log_n: '10' - load_base_model: - _target_: - config: null - trainer: null - low_prec: - _target_: - config: null - trainer: null - update_iter: '1' - manual_gc: - _target_: - every_n: '200' - warm_up: '5' - wandb: - _target_: - logging_iter_multipler: '1' - save_logging_iter_multipler: '10' - save_s3: 'True' - wandb_10x: - _target_: - logging_iter_multipler: '10' - save_logging_iter_multipler: '1' - save_s3: 'True' - compile_config: - recompile_limit: '8' - use_duck_shape: 'True' - cudnn: - benchmark: 'True' - deterministic: 'False' - ddp: - broadcast_buffers: 'True' - find_unused_parameters: 'False' - static_graph: 'True' - distributed_parallelism: fsdp - grad_accum_iter: '1' - grad_scaler_args: - enabled: 'False' - logging_iter: '200' - max_iter: '100000' - max_val_iter: null - memory_format: torch.preserve_format - profiling: - enable_memory_snapshot: 'False' - enable_profiling: 'False' - profile_freq: '1' - profile_memory: 'False' - record_shape: 'False' - save_s3: 'False' - target_ranks: - - '0' - - '1' - - '2' - - '3' - - '4' - - '5' - - '6' - - '7' - with_modules: 'True' - with_stack: 'True' - run_validation: 'False' - run_validation_on_start: 'False' - seed: '0' - straggler_detection: - analyze_backward: 'True' - analyze_dataloading: 'True' - analyze_forward: 'True' - analyze_optimizer: 'True' - enabled: 'True' - max_diff: '1.5' - profile_freq: '1' - raise_error: 'True' - report_freq: '100' - timeout_period: '999999999' - type: - validation_iter: '100' -upload_reproducible_setup: 'True' diff --git a/multicontrol_edgecompare_grid/sunny/weather/semseg/console.log b/multicontrol_edgecompare_grid/sunny/weather/semseg/console.log deleted file mode 100644 index e03d8405e60c5132341956c6e401720cde1b70c4..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/weather/semseg/console.log +++ /dev/null @@ -1,12 +0,0 @@ -[06-26 06:57:49|INFO|cosmos_transfer2/inference.py:146:__init__] Found 2 hint keys across all samples -[06-26 06:57:49|WARNING|cosmos_transfer2/inference.py:148:__init__] Loading the multicontrol model. Multicontrol inference is not strictly equal to single control -[06-26 06:57:49|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/semseg/config.yaml -[06-26 06:57:49|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_semseg'] -[06-26 06:57:49|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_semseg -[06-26 06:57:49|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg.json -[06-26 06:57:49|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled -[06-26 06:57:49|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4', 'edge_mask': None, 'edge_mask_prompt': None, 'vis': None, 'vis_mask': None, 'vis_mask_prompt': None} -[06-26 07:09:32|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg_control_edge.mp4 -[06-26 07:09:34|INFO|cosmos_transfer2/inference.py:311:_generate_sample] vis control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg_control_vis.mp4 -[06-26 07:09:34|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled -[06-26 07:09:36|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg.mp4 diff --git a/multicontrol_edgecompare_grid/sunny/weather/semseg/debug.log b/multicontrol_edgecompare_grid/sunny/weather/semseg/debug.log deleted file mode 100644 index f6059895365690e4c20fe647caf1aa3dc3c653de..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/weather/semseg/debug.log +++ /dev/null @@ -1,33578 +0,0 @@ -[06-26 06:57:00|DEBUG|packages/cosmos-oss/cosmos_oss/init.py:176:init_output_dir] Flags(internal=False, training=True, smoke=False, verbose=False, experimental_checkpoints=False) -[06-26 06:57:02|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser -[06-26 06:57:02|DEBUG|cosmos_transfer2/_src/imaginaire/utils/env_parsers/env_parser.py:86:get_val_dict] getting val dict of CredentialEnvParser -[06-26 06:57:22|CRITICAL|cosmos_transfer2/_src/interactive/checkpointer/dcp.py:181:] for the back comptiable pytorch! New DefaultLoadPlanner class is created. -[06-26 06:57:23|CRITICAL|cosmos_transfer2/_src/predict2/checkpointer/dcp.py:181:] for the back comptiable pytorch! New DefaultLoadPlanner class is created. -[06-26 06:57:24|DEBUG|cosmos_transfer2/inference.py:46:__init__] SetupArguments(output_dir=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/semseg') model='edge' checkpoint_path='s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000' experiment='edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5' config_file='cosmos_transfer2/_src/transfer2/configs/vid2vid_transfer/config.py' context_parallel_size=1 disable_guardrails=True offload_guardrail_models=False keep_going=True profile=False benchmark=False compile_tokenizer= enable_parallel_tokenizer=False parallel_tokenizer_grid=(-1, -1))(['edge', 'vis']) -[06-26 06:57:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1... -[06-26 06:57:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2... -[06-26 06:57:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor... -[06-26 06:57:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v1_with_control... -[06-26 06:57:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control... -[06-26 06:57:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering image_basic_augmentor_with_control... -[06-26 06:57:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_v2_with_control_and_image_context... -[06-26 06:57:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering video_basic_augmentor_with_control_input... -[06-26 06:57:24|INFO|cosmos_transfer2/_src/transfer2/datasets/augmentor_provider.py:35:augmentor_register] registering hdmap_augmentor_for_local_datasets... -[06-26 06:57:24|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] Flash Attention v3 is not supported because the Python package ('flash_attn_3_nv'_) was not found. -[06-26 06:57:24|DEBUG|cosmos_transfer2/_src/imaginaire/attention/utils/safe_log.py:35:debug] NATTEN Attention is not supported due to insufficient NATTEN version 0.21.0, expected at least 0.21.5.dev9. -[06-26 06:57:24|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment -[06-26 06:57:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore -[06-26 06:57:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_large_scale -[06-26 06:57:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.exp_small_overfit -[06-26 06:57:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment.experiment_list -[06-26 06:57:24|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av -[06-26 06:57:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:206:import_modules_recursively] Skipping module _submit as it starts with an underscore -[06-26 06:57:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.exp_large_scale -[06-26 06:57:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2._src.transfer2.configs.vid2vid_transfer.experiment_av.experiment_list -[06-26 06:57:24|CRITICAL|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:192:import_all_modules_from_package] Reloading all modules from package cosmos_transfer2.experiments -[06-26 06:57:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot -[06-26 06:57:24|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.agibot.cosmos_agibot_posttrain_example -[06-26 06:57:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview -[06-26 06:57:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.multiview.cosmos_multiview_example -[06-26 06:57:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview -[06-26 06:57:25|DEBUG|cosmos_transfer2/_src/imaginaire/utils/config_helper.py:210:import_modules_recursively] Reloading module cosmos_transfer2.experiments.singleview.cosmos_singleview_example -[06-26 06:57:25|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:91:load_model_from_checkpoint] Overriding config checkpoint path with: s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 -[06-26 06:57:25|INFO|cosmos_transfer2/_src/imaginaire/utils/misc.py:151:set_random_seed] Using random seed 0. -[06-26 06:57:25|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:111:load_model_from_checkpoint] Loading model from s3://bucket/cosmos_transfer2/vid2vid_2B_control/edge_720p_t24or1_spaced_layer4_cr1pt1_sdev2_lowsigma0.05_uniform_hqv3p1_20250714_64N_rectified_flow_refimdrop0pt5/checkpoints/iter_000032000 -[06-26 06:57:25|WARNING|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:132:__init__] DiffusionModel: precision torch.bfloat16 -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint Wan2.1/vae(685afcaa-4de2-42fe-b7b9-69f7a2dee4d8) -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/tokenizers/wan2pt1.py:669:_video_vae] loading /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Predict2.5-2B/snapshots/f176dc95b4a70f53ce01c4b302851595e7322b00/tokenizer.pth -[06-26 06:57:26|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_tokenizer: 0.69 s -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #0-fps: - ReMapkey - input key: fps - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: fps - Dtype: None -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #1-padding_mask: - ReMapkey - input key: padding_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: padding_mask - Dtype: None -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #2-text: - TextAttr - input key: ['t5_text_embeddings'] - Param count: 0 - Trainable: None - Dropout rate: 0.2 - Output key: [crossattn_emb] -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #3-use_video_condition: - BooleanFlag - input key: fps - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: use_video_condition - This is a boolean flag -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #4-control_input_edge: - ReMapkey - input key: control_input_edge - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_edge - Dtype: None -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #5-control_input_vis: - ReMapkey - input key: control_input_vis - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_vis - Dtype: None -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #6-control_input_depth: - ReMapkey - input key: control_input_depth - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_depth - Dtype: None -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #7-control_input_seg: - ReMapkey - input key: control_input_seg - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_seg - Dtype: None -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #8-control_input_inpaint: - ReMapkey - input key: control_input_inpaint - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_inpaint - Dtype: None -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #9-control_input_edge_mask: - ReMapkey - input key: control_input_edge_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_edge_mask - Dtype: None -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #10-control_input_vis_mask: - ReMapkey - input key: control_input_vis_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_vis_mask - Dtype: None -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #11-control_input_depth_mask: - ReMapkey - input key: control_input_depth_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_depth_mask - Dtype: None -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #12-control_input_seg_mask: - ReMapkey - input key: control_input_seg_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_seg_mask - Dtype: None -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/conditioner.py:434:__init__] Initialized embedder #13-control_input_inpaint_mask: - ReMapkey - input key: control_input_inpaint_mask - Param count: 0 - Trainable: None - Dropout rate: 0.0 - Output key: control_input_inpaint_mask - Dtype: None -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1624:build_pos_embed] Building positional embedding with rope3d class, impl -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:886:__init__] Using AdaLN LoRA Flag: True. We enable bias if no AdaLN LoRA for backward compatibility. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26 -[06-26 06:57:26|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27 -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:26|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is None and using 16 heads with a dimension of 128. -[06-26 06:57:27|DEBUG|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:432:__init__] Setting up Attention. Query dim is 2048, context_dim is 1024 and using 16 heads with a dimension of 128. -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 28 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 4 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 5 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 6 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 7 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 8 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 9 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 10 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 11 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 12 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 13 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 14 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 15 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 16 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 17 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 18 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 19 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 20 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 21 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 22 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 23 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 24 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 25 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 26 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 27 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1804:enable_selective_checkpoint] Enable selective checkpoint with predict2_2b_720_aggressive, for every 1 blocks. Total blocks: 4 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 0 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 1 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 2 -[06-26 06:57:27|INFO|cosmos_transfer2/_src/predict2/networks/minimal_v4_dit.py:1810:enable_selective_checkpoint] Enable selective checkpoint for block 3 -[06-26 06:57:28|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on meta to cuda and broadcast model states: 0.34 s -[06-26 06:57:28|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model: 1.64 s -[06-26 06:57:28|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on Creating PyTorch model and ema if enabled: 1.65 s -[06-26 06:57:28|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on DiffusionModel: set_up_model: 1.65 s -[06-26 06:57:28|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:569:freeze_base_model] -Freezing base model - -[06-26 06:57:28|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:779:load_base_model] Done loading the base model checkpoint. -[06-26 06:57:28|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 0-th block weight to control net's 0-th block -[06-26 06:57:28|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 1-th block weight to control net's 1-th block -[06-26 06:57:28|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 2-th block weight to control net's 2-th block -[06-26 06:57:28|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:532:copy_weights_to_control_branch] ======Copying base model's 3-th block weight to control net's 3-th block -[06-26 06:57:28|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:74:__init__] Instantiating text encoder model... -[06-26 06:57:28|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint Qwen/Qwen2.5-VL-7B-Instruct(7219c6c7-f878-4137-bbdb-76842ea85e70) -[06-26 06:57:28|INFO|cosmos_transfer2/_src/reason1/tokenizer/processor.py:75:__init__] Successfully loaded processor from local cache -[06-26 06:57:28|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:116:__init__] Setting torch default dtype from torch.float32 to torch.bfloat16 -[06-26 06:57:28|INFO|cosmos_transfer2/_src/reason1/models/vlm_base.py:123:__init__] Reset torch default dtype to torch.float32 -[06-26 06:57:28|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:84:__init__] Loading checkpoint from s3://bucket/cosmos_reasoning1/sft_exp700/sft_exp721-1_qwen7b_tl_721_5vs5_s3_balanced_n32_resume_16k/checkpoints/iter_000016000/model/. -[06-26 06:57:28|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Reason1.1-7B(cb3e3ffa-7b08-4c34-822d-61c7aa31a14f) -[06-26 06:57:36|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:113:__init__] Finished loading checkpoint from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Reason1-7B/snapshots/3210bec0495fdc7a8d3dbb8d58da5711eab4b423. -[06-26 06:57:36|INFO|cosmos_transfer2/_src/predict2/text_encoders/text_encoder.py:116:__init__] Text encoder model instantiated -[06-26 06:57:36|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:76:__init__] MinimalV4LVGControlVaceDiT( - (x_embedder): PatchEmbed( - (proj): Sequential( - (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2) - (1): Linear(in_features=72, out_features=2048, bias=False) - ) - ) - (pos_embedder): VideoRopePosition3DEmb() - (t_embedder): Sequential( - (0): Timesteps() - (1): TimestepEmbedding( - (linear_1): Linear(in_features=2048, out_features=2048, bias=False) - (activation): SiLU() - (linear_2): Linear(in_features=2048, out_features=6144, bias=False) - ) - ) - (blocks): ModuleList( - (0-27): 28 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlAwareDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - ) - ) - ) - (final_layer): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): CheckpointWrapper( - (_checkpoint_wrapped_module): FinalLayer( - (layer_norm): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (linear): Linear(in_features=2048, out_features=64, bias=False) - (adaln_modulation): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=4096, bias=False) - ) - ) - ) - ) - ) - ) - ) - ) - (t_embedding_norm): RMSNorm() - (crossattn_proj): Sequential( - (0): Linear(in_features=100352, out_features=1024, bias=True) - (1): GELU(approximate='none') - ) - (control_embedder): ModuleList( - (0-3): 4 x PatchEmbed( - (proj): Sequential( - (0): Rearrange('b c (t r) (h m) (w n) -> b t h w (c r m n)', r=1, m=2, n=2) - (1): Linear(in_features=520, out_features=2048, bias=False) - ) - ) - ) - (control_blocks_0): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) - (control_blocks_1): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) - (control_blocks_2): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) - (control_blocks_3): ModuleList( - (0): CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (before_proj): Linear(in_features=2048, out_features=2048, bias=True) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - (1-3): 3 x CheckpointWrapper( - (_checkpoint_wrapped_module): ControlEncoderDiTBlock( - (layer_norm_self_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (self_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=2048, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=2048, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_cross_attn): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (cross_attn): Attention( - (q_proj): Linear(in_features=2048, out_features=2048, bias=False) - (q_norm): RMSNorm() - (k_proj): Linear(in_features=1024, out_features=2048, bias=False) - (k_norm): RMSNorm() - (v_proj): Linear(in_features=1024, out_features=2048, bias=False) - (v_norm): Identity() - (output_proj): Linear(in_features=2048, out_features=2048, bias=False) - (output_dropout): Identity() - (attn_op): MinimalA2AAttnOp() - ) - (layer_norm_mlp): LayerNorm((2048,), eps=1e-06, elementwise_affine=False) - (mlp): GPT2FeedForward( - (activation): GELU(approximate='none') - (layer1): Linear(in_features=2048, out_features=8192, bias=False) - (layer2): Linear(in_features=8192, out_features=2048, bias=False) - ) - (adaln_modulation_self_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_cross_attn): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (adaln_modulation_mlp): Sequential( - (0): SiLU() - (1): Linear(in_features=2048, out_features=256, bias=False) - (2): Linear(in_features=256, out_features=6144, bias=False) - ) - (after_proj): Linear(in_features=2048, out_features=2048, bias=True) - ) - ) - ) -) -[06-26 06:57:36|INFO|cosmos_transfer2/_src/imaginaire/utils/timer.py:150:_log] Time spent on instantiate model: 10.71 s -[06-26 06:57:36|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125) -[06-26 06:57:36|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:227:load_model_state_dict_from_checkpoint] Loading model cached locally from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt -[06-26 06:57:38|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.4.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.5.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.6.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.7.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.8.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:38|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:39|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['control_embedder.0.proj.1.weight', 'control_embedder.1.proj.1.weight', 'control_embedder.2.proj.1.weight', 'control_embedder.3.proj.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks_0.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_0.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 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'blocks.26._checkpoint_wrapped_module.cross_attn.v_img.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_img.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'blocks.26._checkpoint_wrapped_module.cross_attn.k_img_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_img.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.v_img.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_img.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'blocks.27._checkpoint_wrapped_module.cross_attn.k_img_norm.weight', 'control_embedder.proj.1.weight'], incorrect_shapes=[]) -[06-26 06:57:39|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:271:load_model_state_dict_from_checkpoint] Checkpoint weights loaded from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt: None -[06-26 06:57:39|INFO|cosmos_transfer2/_src/predict2/utils/model_loader.py:273:load_model_state_dict_from_checkpoint] Checkpoint weights loaded successfully (strict=True). -[06-26 06:57:39|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/edge(61f5694b-0ad5-4ecd-8ad7-c8545627d125) -[06-26 06:57:39|CRITICAL|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:694:load_multi_branch_checkpoints] Start loading checkpoint for control branch 0 from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/b67b64abda3801a9aceddbff2bdb86126c06db74/general/edge/61f5694b-0ad5-4ecd-8ad7-c8545627d125_ema_bf16.pt -[06-26 06:57:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:733:load_multi_branch_checkpoints] Checkpoint to model keys: {'net.accum_video_sample_counter': tensor(4575657222473777152), 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dtype=torch.bfloat16), 'net.control_blocks_0.3.adaln_modulation_self_attn.1.weight': tensor([[-0.0469, -0.0464, -0.0449, ..., 0.0010, 0.0008, 0.0009], - [-0.0386, -0.0381, -0.0371, ..., 0.0027, 0.0027, 0.0027], - [-0.0400, -0.0391, -0.0376, ..., 0.0022, 0.0023, 0.0023], - ..., - [ 0.0381, 0.0371, 0.0359, ..., -0.0036, -0.0037, -0.0036], - [ 0.0327, 0.0317, 0.0306, ..., -0.0031, -0.0030, -0.0030], - [-0.0386, -0.0376, -0.0371, ..., 0.0022, 0.0024, 0.0024]], - dtype=torch.bfloat16), 'net.control_blocks_0.3.adaln_modulation_self_attn.2.weight': tensor([[ 0.0152, 0.0145, 0.0137, ..., 0.0220, 0.0248, 0.0148], - [ 0.0016, -0.0010, 0.0036, ..., 0.0025, 0.0036, 0.0003], - [-0.0003, -0.0022, -0.0009, ..., 0.0038, 0.0041, -0.0025], - ..., - [-0.0250, -0.0747, -0.0610, ..., 0.0364, 0.0369, -0.0679], - [ 0.0084, 0.0085, 0.0068, ..., 0.0199, 0.0176, 0.0087], - [ 0.0142, 0.0089, 0.0103, ..., 0.0192, 0.0216, 0.0101]], - dtype=torch.bfloat16), 'net.control_blocks_0.3.adaln_modulation_cross_attn.1.weight': tensor([[-7.9102e-02, -7.6172e-02, -7.4707e-02, ..., -1.0252e-04, - -1.1730e-04, -1.0729e-04], - [ 3.0029e-02, 2.9297e-02, 2.8809e-02, ..., 9.4995e-07, - 2.6345e-05, 1.4687e-04], - [ 2.8442e-02, 2.7710e-02, 2.6489e-02, ..., 2.7466e-04, - 2.9755e-04, 2.0504e-04], - ..., - [ 6.4453e-02, 6.2988e-02, 6.2012e-02, ..., -1.8978e-04, - -1.8406e-04, -1.1444e-04], - [ 6.6895e-02, 6.4453e-02, 6.2988e-02, ..., -1.7643e-04, - -1.1778e-04, -1.6403e-04], - [-3.6133e-02, -3.5156e-02, -3.4424e-02, ..., -5.2929e-05, - 9.9659e-05, 1.2112e-04]], dtype=torch.bfloat16), 'net.control_blocks_0.3.adaln_modulation_cross_attn.2.weight': tensor([[-0.0038, -0.0112, -0.0028, ..., 0.0201, 0.0288, 0.0041], - [ 0.0071, -0.0090, 0.0116, ..., 0.0005, 0.0060, -0.0019], - [ 0.0011, -0.0026, 0.0036, ..., -0.0082, -0.0055, -0.0093], - ..., - [-0.0141, 0.0030, 0.0330, ..., 0.0052, 0.0139, 0.0052], - [-0.0225, 0.0114, 0.0369, ..., 0.0081, 0.0171, -0.0190], - [ 0.0266, -0.0216, 0.0052, ..., -0.0014, 0.0077, 0.0055]], - dtype=torch.bfloat16), 'net.control_blocks_0.3.adaln_modulation_mlp.1.weight': tensor([[-8.9844e-02, -8.6426e-02, -8.3984e-02, ..., 1.8787e-04, - 3.0899e-04, 2.5368e-04], - [ 2.2461e-02, 2.0264e-02, 1.9409e-02, ..., 1.8787e-04, - 2.6894e-04, 2.6321e-04], - [-9.2285e-02, -9.0332e-02, -8.9844e-02, ..., -4.0245e-04, - -3.2806e-04, -3.6621e-04], - ..., - [-8.2031e-02, -8.0566e-02, -7.9102e-02, ..., 2.1076e-04, - 3.1471e-04, 2.1172e-04], - [-6.1279e-02, -5.9570e-02, -5.8594e-02, ..., 2.2888e-04, - 9.2506e-05, 1.0252e-04], - [ 7.9102e-02, 7.7637e-02, 7.6660e-02, ..., -1.7738e-04, - -2.0599e-04, -1.6880e-04]], dtype=torch.bfloat16), 'net.control_blocks_0.3.adaln_modulation_mlp.2.weight': tensor([[ 0.0023, 0.0038, 0.0038, ..., -0.0055, -0.0086, 0.0069], - [-0.0018, -0.0021, 0.0057, ..., -0.0016, 0.0037, 0.0015], - [-0.0010, 0.0045, -0.0019, ..., -0.0009, -0.0012, 0.0011], - ..., - [-0.0413, 0.0198, -0.0593, ..., -0.0295, -0.0106, 0.0225], - [ 0.0091, -0.0100, 0.0258, ..., 0.0067, 0.0037, -0.0063], - [ 0.0154, 0.0053, 0.0056, ..., 0.0135, 0.0070, -0.0107]], - dtype=torch.bfloat16), 'net.control_blocks_0.3.after_proj.weight': tensor([[-0.0056, 0.0069, 0.0043, ..., 0.0067, 0.0135, -0.0127], - [-0.0050, -0.0069, 0.0068, ..., -0.0057, 0.0049, -0.0186], - [ 0.0104, -0.0056, 0.0124, ..., 0.0151, 0.0187, 0.0063], - ..., - [-0.0077, -0.0034, 0.0146, ..., 0.0031, -0.0150, -0.0096], - [-0.0122, -0.0050, -0.0278, ..., -0.0188, 0.0081, -0.0032], - [-0.0042, 0.0045, 0.0044, ..., -0.0145, 0.0129, 0.0003]], - dtype=torch.bfloat16), 'net.control_blocks_0.3.after_proj.bias': tensor([ 0.0081, -0.0087, -0.0045, ..., -0.0044, -0.0139, -0.0038], - dtype=torch.bfloat16)} -[06-26 06:57:41|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping 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06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_0.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:41|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['control_embedder.1.proj.1.weight', 'control_embedder.2.proj.1.weight', 'control_embedder.3.proj.1.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_1.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_1.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks_1.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks_1.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks_1.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks_1.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks_1.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks_1.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks_1.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks_1.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks_1.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_1.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_1.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_1.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_1.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_1.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_1.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_1.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_1.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_1.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_1.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_1.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_1.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_1.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_1.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks_1.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks_1.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks_1.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks_1.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks_1.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks_1.1._checkpoint_wrapped_module.after_proj.weight', 'control_blocks_1.1._checkpoint_wrapped_module.after_proj.bias', 'control_blocks_1.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_1.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_1.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_1.2._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_1.2._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_1.2._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_1.2._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_1.2._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_1.2._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_1.2._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_1.2._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_1.2._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_1.2._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_1.2._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_1.2._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks_1.2._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks_1.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks_1.2._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks_1.2._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks_1.2._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks_1.2._checkpoint_wrapped_module.after_proj.weight', 'control_blocks_1.2._checkpoint_wrapped_module.after_proj.bias', 'control_blocks_1.3._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_1.3._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_1.3._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_1.3._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_1.3._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_1.3._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_1.3._checkpoint_wrapped_module.cross_attn.q_proj.weight', 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'control_blocks_0.3._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'control_blocks_0.3._checkpoint_wrapped_module.cross_attn.k_img_norm.weight'], incorrect_shapes=[]) -[06-26 06:57:41|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:735:load_multi_branch_checkpoints] Done loading the control branch 0 checkpoint. -[06-26 06:57:41|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/blur(ba2f44f2-c726-4fe7-949f-597069d9b91c) -[06-26 06:57:41|CRITICAL|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:694:load_multi_branch_checkpoints] Start loading checkpoint for control branch 1 from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/eb5325b77d358944da58a690157dd2b8071bbf85/general/blur/ba2f44f2-c726-4fe7-949f-597069d9b91c_ema_bf16.pt -[06-26 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0.0139, 0.0045]], - dtype=torch.bfloat16), 'net.control_blocks_1.3.adaln_modulation_self_attn.1.weight': tensor([[-0.0413, -0.0408, -0.0405, ..., 0.0009, 0.0007, 0.0008], - [-0.0369, -0.0366, -0.0356, ..., 0.0026, 0.0027, 0.0027], - [-0.0334, -0.0332, -0.0320, ..., 0.0021, 0.0022, 0.0022], - ..., - [ 0.0244, 0.0234, 0.0225, ..., -0.0037, -0.0038, -0.0037], - [ 0.0134, 0.0123, 0.0115, ..., -0.0032, -0.0031, -0.0031], - [-0.0344, -0.0337, -0.0330, ..., 0.0022, 0.0023, 0.0024]], - dtype=torch.bfloat16), 'net.control_blocks_1.3.adaln_modulation_self_attn.2.weight': tensor([[ 0.0056, 0.0031, 0.0044, ..., 0.0063, 0.0090, 0.0045], - [-0.0028, -0.0012, -0.0015, ..., -0.0019, -0.0014, -0.0011], - [ 0.0024, -0.0069, -0.0049, ..., 0.0032, 0.0033, -0.0058], - ..., - [-0.0237, -0.0811, -0.0635, ..., 0.0327, 0.0332, -0.0723], - [-0.0161, -0.0140, -0.0139, ..., -0.0115, -0.0139, -0.0131], - [ 0.0098, 0.0067, 0.0069, ..., 0.0092, 0.0121, 0.0064]], - dtype=torch.bfloat16), 'net.control_blocks_1.3.adaln_modulation_cross_attn.1.weight': tensor([[-7.9102e-02, -7.6660e-02, -7.5195e-02, ..., -9.5844e-05, - -1.1110e-04, -1.0157e-04], - [ 3.0273e-02, 2.9785e-02, 2.9297e-02, ..., 2.5481e-06, - 2.8610e-05, 1.4877e-04], - [ 2.5391e-02, 2.4658e-02, 2.3682e-02, ..., 2.4796e-04, - 2.7084e-04, 1.7738e-04], - ..., - [ 5.1514e-02, 5.0293e-02, 4.9805e-02, ..., -1.8692e-04, - -1.8120e-04, -1.1349e-04], - [ 5.5176e-02, 5.3711e-02, 5.2246e-02, ..., -1.8311e-04, - -1.2207e-04, -1.7071e-04], - [-1.6235e-02, -1.5747e-02, -1.5503e-02, ..., -5.0306e-05, - 1.0109e-04, 1.2398e-04]], dtype=torch.bfloat16), 'net.control_blocks_1.3.adaln_modulation_cross_attn.2.weight': tensor([[-0.0034, -0.0053, -0.0033, ..., 0.0281, 0.0317, 0.0069], - [ 0.0040, -0.0044, 0.0056, ..., -0.0009, 0.0025, -0.0019], - [ 0.0025, -0.0038, 0.0039, ..., -0.0026, -0.0026, -0.0044], - ..., - [-0.0069, -0.0052, 0.0403, ..., 0.0016, 0.0123, -0.0041], - [-0.0302, 0.0184, 0.0298, ..., 0.0115, 0.0130, -0.0046], - [ 0.0261, -0.0206, 0.0040, ..., 0.0048, 0.0107, 0.0016]], - dtype=torch.bfloat16), 'net.control_blocks_1.3.adaln_modulation_mlp.1.weight': tensor([[-7.6172e-02, -7.3730e-02, -7.2754e-02, ..., 8.7261e-05, - 2.0409e-04, 1.5354e-04], - [ 5.8105e-02, 5.5420e-02, 5.5176e-02, ..., 3.8719e-04, - 4.6921e-04, 4.5776e-04], - [-9.2773e-02, -9.1309e-02, -8.9844e-02, ..., -4.7874e-04, - -4.1199e-04, -4.4250e-04], - ..., - [-7.4707e-02, -7.2754e-02, -7.1777e-02, ..., 1.1444e-04, - 2.1648e-04, 1.1492e-04], - [-6.0791e-02, -5.9326e-02, -5.8594e-02, ..., 1.5736e-04, - 1.8477e-05, 2.9922e-05], - [ 7.2266e-02, 7.1289e-02, 7.0312e-02, ..., -9.0599e-05, - -1.1873e-04, -8.2016e-05]], dtype=torch.bfloat16), 'net.control_blocks_1.3.adaln_modulation_mlp.2.weight': tensor([[-4.9438e-03, -3.9978e-03, 2.5177e-03, ..., -7.4158e-03, - -1.1414e-02, 8.9111e-03], - [-3.3417e-03, -2.6550e-03, -1.6861e-03, ..., -2.7618e-03, - -2.5787e-03, 2.5787e-03], - [-6.4850e-05, -2.4414e-03, -1.7471e-03, ..., -3.5477e-04, - -1.5259e-04, 1.3161e-04], - ..., - [-4.6143e-02, -6.9275e-03, -5.6396e-02, ..., -3.4424e-02, - -1.2695e-02, 2.6489e-02], - [ 8.1177e-03, -2.7344e-02, 3.1738e-02, ..., 6.6528e-03, - 5.4016e-03, -6.5613e-03], - [ 9.4604e-03, 7.5989e-03, 4.9438e-03, ..., 8.5449e-03, - 4.1199e-03, -6.7444e-03]], dtype=torch.bfloat16), 'net.control_blocks_1.3.after_proj.weight': tensor([[ 0.0049, 0.0079, -0.0066, ..., 0.0017, 0.0227, 0.0034], - [-0.0020, -0.0085, -0.0080, ..., 0.0134, -0.0012, -0.0102], - [-0.0118, 0.0030, -0.0039, ..., -0.0023, -0.0021, 0.0011], - ..., - [-0.0079, -0.0026, 0.0031, ..., -0.0070, 0.0021, -0.0082], - [-0.0040, 0.0076, 0.0044, ..., 0.0051, -0.0108, -0.0024], - [ 0.0119, 0.0110, 0.0015, ..., -0.0018, 0.0058, 0.0067]], - dtype=torch.bfloat16), 'net.control_blocks_1.3.after_proj.bias': tensor([ 0.0050, -0.0118, -0.0096, ..., -0.0070, 0.0018, 0.0004], - dtype=torch.bfloat16)} -[06-26 06:57:44|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in 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06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_1.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:44|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['control_embedder.0.proj.1.weight', 'control_embedder.2.proj.1.weight', 'control_embedder.3.proj.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks_0.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_0.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks_0.1._checkpoint_wrapped_module.after_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.after_proj.bias', 'control_blocks_0.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 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'control_blocks_1.3._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'control_blocks_1.3._checkpoint_wrapped_module.cross_attn.k_img_norm.weight'], incorrect_shapes=[]) -[06-26 06:57:44|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:735:load_multi_branch_checkpoints] Done loading the control branch 1 checkpoint. -[06-26 06:57:44|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/depth(626e6618-bfcd-4d9a-a077-1409e2ce353f) -[06-26 06:57:44|CRITICAL|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:694:load_multi_branch_checkpoints] Start loading checkpoint for control branch 2 from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/dea7737ca29dd8d9086413c6dc5724b8250a0bb4/general/depth/626e6618-bfcd-4d9a-a077-1409e2ce353f_ema_bf16.pt -[06-26 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-0.0214, -0.0205, ..., 0.0021, 0.0023, 0.0023], - ..., - [ 0.0605, 0.0588, 0.0569, ..., -0.0037, -0.0037, -0.0037], - [ 0.0496, 0.0479, 0.0464, ..., -0.0032, -0.0031, -0.0030], - [-0.0256, -0.0250, -0.0248, ..., 0.0022, 0.0023, 0.0024]], - dtype=torch.bfloat16), 'net.control_blocks_2.3.adaln_modulation_self_attn.2.weight': tensor([[ 0.0061, 0.0044, 0.0062, ..., 0.0099, 0.0130, 0.0059], - [ 0.0005, 0.0014, 0.0015, ..., -0.0015, 0.0004, 0.0016], - [ 0.0015, -0.0013, 0.0005, ..., 0.0037, 0.0038, -0.0014], - ..., - [-0.0237, -0.0762, -0.0615, ..., 0.0369, 0.0354, -0.0693], - [ 0.0089, 0.0082, 0.0085, ..., 0.0182, 0.0150, 0.0092], - [ 0.0164, 0.0099, 0.0124, ..., 0.0187, 0.0208, 0.0113]], - dtype=torch.bfloat16), 'net.control_blocks_2.3.adaln_modulation_cross_attn.1.weight': tensor([[-8.2031e-02, -8.0078e-02, -7.7637e-02, ..., -1.0443e-04, - -1.2016e-04, -1.0967e-04], - [ 3.0029e-02, 2.9419e-02, 2.8564e-02, ..., 5.6624e-06, - 3.1948e-05, 1.5163e-04], - [ 3.2715e-02, 3.1494e-02, 3.0518e-02, ..., 2.6703e-04, - 2.8992e-04, 1.9836e-04], - ..., - [ 5.5908e-02, 5.4199e-02, 5.3223e-02, ..., -1.8978e-04, - -1.8501e-04, -1.1683e-04], - [ 5.8350e-02, 5.6885e-02, 5.5420e-02, ..., -1.8311e-04, - -1.2112e-04, -1.7071e-04], - [-3.0884e-02, -2.9907e-02, -2.9175e-02, ..., -5.8889e-05, - 9.3460e-05, 1.1492e-04]], dtype=torch.bfloat16), 'net.control_blocks_2.3.adaln_modulation_cross_attn.2.weight': tensor([[-7.9346e-03, 3.7842e-03, -8.8501e-03, ..., 2.8320e-02, - 3.0396e-02, 3.6926e-03], - [ 6.7139e-03, -9.3994e-03, 1.1841e-02, ..., -2.4605e-04, - 4.5166e-03, 4.6387e-03], - [ 2.0905e-03, -1.2207e-03, 4.6997e-03, ..., -7.9346e-03, - -6.3477e-03, -4.7913e-03], - ..., - [-1.5991e-02, 4.6387e-03, 3.5400e-02, ..., 2.5146e-02, - 3.2227e-02, -8.7891e-03], - [-2.3315e-02, 1.2085e-02, 3.6865e-02, ..., 1.0254e-02, - 1.5869e-02, -1.4099e-02], - [ 1.3977e-02, -8.5449e-03, -7.0801e-03, ..., 1.5717e-03, - 1.6098e-03, -4.5300e-05]], dtype=torch.bfloat16), 'net.control_blocks_2.3.adaln_modulation_mlp.1.weight': tensor([[-7.2266e-02, -6.9824e-02, -6.8848e-02, ..., 1.3638e-04, - 2.5940e-04, 2.0313e-04], - [ 1.3245e-02, 1.1841e-02, 1.1597e-02, ..., 3.7193e-04, - 4.5204e-04, 4.4441e-04], - [-7.3242e-02, -7.1777e-02, -7.0801e-02, ..., -4.4823e-04, - -3.7766e-04, -4.1199e-04], - ..., - [-6.5430e-02, -6.4453e-02, -6.3477e-02, ..., 1.6785e-04, - 2.7084e-04, 1.6785e-04], - [-4.4922e-02, -4.4434e-02, -4.4189e-02, ..., 2.0981e-04, - 6.8188e-05, 7.9632e-05], - [ 6.2012e-02, 6.1035e-02, 6.0791e-02, ..., -1.4210e-04, - -1.6975e-04, -1.3351e-04]], dtype=torch.bfloat16), 'net.control_blocks_2.3.adaln_modulation_mlp.2.weight': tensor([[-0.0141, 0.0030, -0.0100, ..., -0.0164, -0.0199, 0.0178], - [-0.0017, -0.0063, 0.0064, ..., -0.0015, 0.0049, -0.0028], - [-0.0016, -0.0029, -0.0036, ..., -0.0010, -0.0017, 0.0016], - ..., - [-0.0493, -0.0312, -0.0461, ..., -0.0361, -0.0109, 0.0266], - [ 0.0075, -0.0177, 0.0260, ..., 0.0075, 0.0052, -0.0075], - [ 0.0135, 0.0118, 0.0070, ..., 0.0121, 0.0072, -0.0096]], - dtype=torch.bfloat16), 'net.control_blocks_2.3.after_proj.weight': tensor([[ 2.8229e-03, 1.6724e-02, -1.8311e-02, ..., 7.8125e-03, - 3.9368e-03, -6.8970e-03], - [-8.4229e-03, -3.6316e-03, 7.6599e-03, ..., -9.5844e-05, - 1.6235e-02, -8.6060e-03], - [ 9.6436e-03, 4.3335e-03, -3.9978e-03, ..., 3.8452e-03, - 2.1820e-03, -7.6599e-03], - ..., - [ 1.7456e-02, 1.2329e-02, -5.0354e-03, ..., 7.7515e-03, - -6.1035e-03, 5.2795e-03], - [-6.2866e-03, 7.4463e-03, -3.2349e-03, ..., 1.0437e-02, - -3.9673e-03, 4.2419e-03], - [ 3.4332e-03, -1.4832e-02, -5.6458e-03, ..., 2.1362e-02, - -1.2268e-02, 8.9722e-03]], dtype=torch.bfloat16), 'net.control_blocks_2.3.after_proj.bias': tensor([ 0.0085, -0.0193, -0.0089, ..., -0.0041, -0.0183, 0.0126], - dtype=torch.bfloat16)} -[06-26 06:57:46|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 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blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.18.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_2.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:46|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['control_embedder.0.proj.1.weight', 'control_embedder.1.proj.1.weight', 'control_embedder.3.proj.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks_0.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_0.1._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks_0.1._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks_0.1._checkpoint_wrapped_module.after_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.after_proj.bias', 'control_blocks_0.2._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.2._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.2._checkpoint_wrapped_module.self_attn.k_proj.weight', 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'control_blocks_2.3._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'control_blocks_2.3._checkpoint_wrapped_module.cross_attn.k_img_norm.weight'], incorrect_shapes=[]) -[06-26 06:57:46|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:735:load_multi_branch_checkpoints] Done loading the control branch 2 checkpoint. -[06-26 06:57:46|DEBUG|cosmos_transfer2/_src/imaginaire/utils/checkpoint_db.py:344:download] Resolving checkpoint nvidia/Cosmos-Transfer2.5-2B/general/seg(5136ef49-6d8d-42e8-8abf-7dac722a304a) -[06-26 06:57:46|CRITICAL|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:694:load_multi_branch_checkpoints] Start loading checkpoint for control branch 3 from /scratch/ssaha/.cache/huggingface/hub/models--nvidia--Cosmos-Transfer2.5-2B/snapshots/23057a4167b89de89a4a397fdbf3887994d115eb/general/seg/5136ef49-6d8d-42e8-8abf-7dac722a304a_ema_bf16.pt -[06-26 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-0.0147, 0.0052], - [ 0.0100, -0.0058, 0.0141, ..., 0.0024, 0.0131, 0.0106], - [-0.0130, -0.0079, 0.0022, ..., 0.0167, 0.0105, 0.0075]], - dtype=torch.bfloat16), 'net.control_blocks_3.3.adaln_modulation_self_attn.1.weight': tensor([[-0.0444, -0.0437, -0.0427, ..., 0.0010, 0.0008, 0.0009], - [-0.0413, -0.0403, -0.0393, ..., 0.0027, 0.0028, 0.0027], - [-0.0396, -0.0386, -0.0374, ..., 0.0022, 0.0023, 0.0023], - ..., - [ 0.0498, 0.0481, 0.0469, ..., -0.0036, -0.0037, -0.0037], - [ 0.0398, 0.0386, 0.0371, ..., -0.0031, -0.0031, -0.0030], - [-0.0396, -0.0386, -0.0378, ..., 0.0023, 0.0024, 0.0025]], - dtype=torch.bfloat16), 'net.control_blocks_3.3.adaln_modulation_self_attn.2.weight': tensor([[ 0.0062, 0.0070, 0.0070, ..., 0.0150, 0.0175, 0.0078], - [-0.0017, -0.0014, -0.0012, ..., -0.0032, -0.0031, -0.0013], - [ 0.0013, -0.0071, -0.0061, ..., 0.0034, 0.0036, -0.0070], - ..., - [-0.0325, -0.0776, -0.0645, ..., 0.0221, 0.0236, -0.0718], - [-0.0105, -0.0099, -0.0103, ..., 0.0039, 0.0040, -0.0096], - [ 0.0082, 0.0050, 0.0067, ..., 0.0162, 0.0187, 0.0062]], - dtype=torch.bfloat16), 'net.control_blocks_3.3.adaln_modulation_cross_attn.1.weight': tensor([[-8.2520e-02, -8.0566e-02, -7.7637e-02, ..., -1.0586e-04, - -1.2064e-04, -1.1063e-04], - [ 3.3691e-02, 3.2471e-02, 3.1982e-02, ..., 1.9222e-06, - 2.7180e-05, 1.4877e-04], - [ 3.0884e-02, 2.9785e-02, 2.8809e-02, ..., 2.7657e-04, - 3.0136e-04, 2.0695e-04], - ..., - [ 5.0293e-02, 4.8828e-02, 4.8340e-02, ..., -1.7929e-04, - -1.7262e-04, -1.0538e-04], - [ 5.4932e-02, 5.3467e-02, 5.2002e-02, ..., -1.6785e-04, - -1.0729e-04, -1.5450e-04], - [-2.5635e-02, -2.4902e-02, -2.4292e-02, ..., -6.2943e-05, - 9.0122e-05, 1.1253e-04]], dtype=torch.bfloat16), 'net.control_blocks_3.3.adaln_modulation_cross_attn.2.weight': tensor([[-0.0039, -0.0059, 0.0014, ..., 0.0275, 0.0325, 0.0023], - [ 0.0033, -0.0044, 0.0059, ..., -0.0010, 0.0016, 0.0042], - [ 0.0018, -0.0019, 0.0026, ..., -0.0084, -0.0086, -0.0021], - ..., - [-0.0198, 0.0078, 0.0280, ..., 0.0178, 0.0287, -0.0089], - [-0.0222, 0.0126, 0.0347, ..., -0.0042, -0.0026, -0.0033], - [ 0.0179, -0.0112, -0.0062, ..., -0.0096, -0.0111, 0.0176]], - dtype=torch.bfloat16), 'net.control_blocks_3.3.adaln_modulation_mlp.1.weight': tensor([[-0.0771, -0.0752, -0.0737, ..., 0.0002, 0.0003, 0.0003], - [ 0.0282, 0.0273, 0.0267, ..., 0.0003, 0.0004, 0.0004], - [-0.0991, -0.0977, -0.0962, ..., -0.0003, -0.0003, -0.0003], - ..., - [-0.0723, -0.0708, -0.0698, ..., 0.0002, 0.0003, 0.0002], - [-0.0540, -0.0527, -0.0518, ..., 0.0003, 0.0001, 0.0001], - [ 0.0703, 0.0693, 0.0679, ..., -0.0002, -0.0002, -0.0002]], - dtype=torch.bfloat16), 'net.control_blocks_3.3.adaln_modulation_mlp.2.weight': tensor([[-0.0166, -0.0019, -0.0118, ..., -0.0186, -0.0221, 0.0200], - [-0.0018, -0.0050, 0.0067, ..., 0.0004, 0.0036, -0.0035], - [-0.0019, 0.0020, -0.0027, ..., -0.0019, -0.0019, 0.0019], - ..., - [-0.0486, -0.0170, -0.0557, ..., -0.0356, -0.0126, 0.0272], - [ 0.0071, -0.0099, 0.0264, ..., 0.0056, 0.0048, -0.0047], - [ 0.0138, 0.0110, 0.0107, ..., 0.0124, 0.0065, -0.0101]], - dtype=torch.bfloat16), 'net.control_blocks_3.3.after_proj.weight': tensor([[ 0.0066, -0.0078, -0.0059, ..., -0.0055, 0.0026, -0.0152], - [ 0.0037, -0.0080, 0.0184, ..., -0.0098, -0.0061, -0.0095], - [ 0.0123, 0.0111, 0.0305, ..., 0.0052, 0.0048, -0.0076], - ..., - [ 0.0073, 0.0186, -0.0070, ..., 0.0038, -0.0143, -0.0076], - [-0.0108, -0.0059, -0.0055, ..., 0.0070, -0.0120, 0.0055], - [-0.0166, 0.0165, -0.0107, ..., -0.0049, 0.0009, 0.0073]], - dtype=torch.bfloat16), 'net.control_blocks_3.3.after_proj.bias': tensor([ 0.0026, -0.0143, -0.0110, ..., 0.0014, -0.0015, 0.0062], - dtype=torch.bfloat16)} -[06-26 06:57:48|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:919:load_state_dict] load model in non-strict mode -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.0.self_attn.q_norm._extra_state introduced by 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blocks.13.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.13.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.14.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.15.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.16.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.17.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.19.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.20.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.21.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.22.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key 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06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.23.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.24.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.25.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.26.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key blocks.27.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key t_embedding_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.0.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.0.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.0.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.0.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.1.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.1.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.1.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.1.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.2.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.2.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.2.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.2.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.3.self_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.3.self_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.3.cross_attn.q_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:48|WARNING|cosmos_transfer2/_src/imaginaire/utils/checkpointer.py:451:non_strict_load_model] Skipping key control_blocks_3.3.cross_attn.k_norm._extra_state introduced by TransformerEngine for FP8 in the checkpoint. -[06-26 06:57:49|CRITICAL|cosmos_transfer2/_src/predict2/models/text2world_model_rectified_flow.py:920:load_state_dict] [RANK 0] _IncompatibleKeys(missing_keys=['control_embedder.0.proj.1.weight', 'control_embedder.1.proj.1.weight', 'control_embedder.2.proj.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.cross_attn.output_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.mlp.layer1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.mlp.layer2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_self_attn.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_self_attn.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_cross_attn.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_mlp.1.weight', 'control_blocks_0.0._checkpoint_wrapped_module.adaln_modulation_mlp.2.weight', 'control_blocks_0.0._checkpoint_wrapped_module.before_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.before_proj.bias', 'control_blocks_0.0._checkpoint_wrapped_module.after_proj.weight', 'control_blocks_0.0._checkpoint_wrapped_module.after_proj.bias', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.q_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.q_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.k_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.k_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.v_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.self_attn.output_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.q_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.q_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.k_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.k_norm.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.v_proj.weight', 'control_blocks_0.1._checkpoint_wrapped_module.cross_attn.output_proj.weight', 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'control_blocks_3.1._checkpoint_wrapped_module.cross_attn.k_img.weight', 'control_blocks_3.1._checkpoint_wrapped_module.cross_attn.v_img.weight', 'control_blocks_3.1._checkpoint_wrapped_module.cross_attn.q_img.weight', 'control_blocks_3.1._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'control_blocks_3.1._checkpoint_wrapped_module.cross_attn.k_img_norm.weight', 'control_blocks_3.2._checkpoint_wrapped_module.cross_attn.k_img.weight', 'control_blocks_3.2._checkpoint_wrapped_module.cross_attn.v_img.weight', 'control_blocks_3.2._checkpoint_wrapped_module.cross_attn.q_img.weight', 'control_blocks_3.2._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'control_blocks_3.2._checkpoint_wrapped_module.cross_attn.k_img_norm.weight', 'control_blocks_3.3._checkpoint_wrapped_module.cross_attn.k_img.weight', 'control_blocks_3.3._checkpoint_wrapped_module.cross_attn.v_img.weight', 'control_blocks_3.3._checkpoint_wrapped_module.cross_attn.q_img.weight', 'control_blocks_3.3._checkpoint_wrapped_module.cross_attn.q_img_norm.weight', 'control_blocks_3.3._checkpoint_wrapped_module.cross_attn.k_img_norm.weight'], incorrect_shapes=[]) -[06-26 06:57:49|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:735:load_multi_branch_checkpoints] Done loading the control branch 3 checkpoint. -[06-26 06:57:49|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:1015:compile_tokenizer_if_enabled] Tokenizer compilation disabled -[06-26 06:57:49|INFO|cosmos_transfer2/inference.py:146:__init__] Found 2 hint keys across all samples -[06-26 06:57:49|WARNING|cosmos_transfer2/inference.py:148:__init__] Loading the multicontrol model. Multicontrol inference is not strictly equal to single control -[06-26 06:57:49|INFO|cosmos_transfer2/inference.py:156:__init__] Saved config to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/semseg/config.yaml -[06-26 06:57:49|INFO|cosmos_transfer2/inference.py:163:generate] Generating 1 samples: ['sunny_weather_semseg'] -[06-26 06:57:49|INFO|cosmos_transfer2/inference.py:167:generate] [1/1] Processing sample sunny_weather_semseg -[06-26 06:57:49|DEBUG|cosmos_transfer2/inference.py:186:_generate_sample] InferenceArguments(name='sunny_weather_semseg' prompt_path=None prompt='The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.' negative_prompt='The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.' seed=2025 guidance=3 video_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4') max_frames=None context_frame_index=None image_context_path=None num_conditional_frames=1 resolution='720' sigma_max=None num_video_frames_per_chunk=93 num_steps=35 show_control_condition=False show_input=False keep_input_resolution=True edge=EdgeConfig(control_path=PosixPath('/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4'), control_weight=1.0, mask_path=None, mask_prompt=None, preset_edge_threshold='medium') depth=None vis=BlurConfig(control_path=None, control_weight=0.2, mask_path=None, mask_prompt=None, preset_blur_strength='medium') seg=None guided_generation_mask=None guided_generation_step_threshold=25 guided_generation_foreground_labels=None) -[06-26 06:57:49|INFO|cosmos_transfer2/inference.py:208:_generate_sample] Saved arguments to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg.json -[06-26 06:57:49|WARNING|cosmos_transfer2/inference.py:239:_generate_sample] Guardrail checks on prompt are disabled -[06-26 06:57:49|INFO|cosmos_transfer2/inference.py:242:_generate_sample] Processing the following paths: {'edge': '/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4', 'edge_mask': None, 'edge_mask_prompt': None, 'vis': None, 'vis_mask': None, 'vis_mask_prompt': None} -[06-26 06:57:49|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:472:generate_img2world] Loading input video... -[06-26 06:57:49|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4 -[06-26 06:57:49|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 06:57:49|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:492:generate_img2world] Computing prompt text embeddings... -[06-26 06:57:50|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:501:generate_img2world] Computing negative prompt text embeddings... -[06-26 06:57:50|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:513:generate_img2world] Processing image context if available... -[06-26 06:57:50|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:330:read_and_process_image_context] No image context provided. -[06-26 06:57:50|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:525:generate_img2world] Loading control inputs... -[06-26 06:57:50|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:204:read_video_or_image_into_frames_BCTHW] Reading video from /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4 -[06-26 06:57:50|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:243:read_video_or_image_into_frames_BCTHW] Loaded input tensor with shape (1, 3, 120, 720, 1280) value 0, 255 -[06-26 06:57:50|INFO|cosmos_transfer2/_src/transfer2/inference/utils.py:703:read_and_process_control_input] No vis (blur) control input file found, will compute online.. -[06-26 06:57:50|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 1/2 -[06-26 06:58:03|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 584845 -[06-26 06:58:03|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 0 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY] -[06-26 07:03:55|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:554:generate_img2world] Generating chunk 2/2 -[06-26 07:04:08|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:640:generate_img2world] Seed: 643774 -[06-26 07:04:08|INFO|cosmos_transfer2/_src/transfer2/models/vid2vid_model_control_vace_rectified_flow.py:239:get_velocity_fn_from_batch] num_conditional_frames: 1 is set by data_batch[NUM_CONDITIONAL_FRAMES_KEY] -[06-26 07:09:30|INFO|cosmos_transfer2/_src/transfer2/inference/inference_pipeline.py:736:generate_img2world] Average time per chunk: 346.44598660001066 -[06-26 07:09:31|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 07:09:32|INFO|cosmos_transfer2/inference.py:311:_generate_sample] edge control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg_control_edge.mp4 -[06-26 07:09:32|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 07:09:34|INFO|cosmos_transfer2/inference.py:311:_generate_sample] vis control video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg_control_vis.mp4 -[06-26 07:09:34|WARNING|cosmos_transfer2/inference.py:335:_generate_sample] Guardrail checks on video are disabled -[06-26 07:09:34|DEBUG|cosmos_transfer2/_src/imaginaire/utils/easy_io/handlers/imageio_video_handler.py:163:dump_to_fileobj] mimsave_kwargs: {'fps': 10, 'quality': 5, 'macro_block_size': 1, 'ffmpeg_params': ['-s', '1280x720'], 'output_params': ['-f', 'mp4']} -[06-26 07:09:36|SUCCESS|cosmos_transfer2/inference.py:343:_generate_sample] Generated video saved to /scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg.mp4 diff --git a/multicontrol_edgecompare_grid/sunny/weather/semseg/spec.json b/multicontrol_edgecompare_grid/sunny/weather/semseg/spec.json deleted file mode 100644 index 3b563c0f3fd0289fe21997f5a02d6be8c1b8dac3..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/weather/semseg/spec.json +++ /dev/null @@ -1,16 +0,0 @@ -{ - "name": "sunny_weather_semseg", - "prompt": "The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.", - "video_path": "/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4", - "guidance": 3, - "num_steps": 35, - "seed": 2025, - "edge": { - "control_path": "/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4", - "control_weight": 1.0 - }, - "vis": { - "control_weight": 0.2 - }, - "negative_prompt": "The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows." -} \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg.json b/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg.json deleted file mode 100644 index c9e8726611d48bbe081017d73ff542b375a37900..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg.json +++ /dev/null @@ -1 +0,0 @@ -{"name":"sunny_weather_semseg","prompt_path":null,"prompt":"The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail.","negative_prompt":"The video captures a game playing, with bad crappy graphics and cartoonish frames. It represents a recording of old outdated games. The lighting looks very fake. The textures are very raw and basic. The geometries are very primitive. The images are very pixelated and of poor CG quality. There are many subtitles in the footage. Overall, the video is unrealistic at all. Overcast, rain, wet road, puddles, fog, night, dark shadows.","seed":2025,"guidance":3,"video_path":"/scratch/ssaha/cosmos-transfer2.5/SceneDriveBench/output/priority_from_right/run_000/videos/rgb_front.mp4","max_frames":null,"context_frame_index":null,"image_context_path":null,"num_conditional_frames":1,"resolution":"720","sigma_max":null,"num_video_frames_per_chunk":93,"num_steps":35,"show_control_condition":false,"show_input":false,"keep_input_resolution":true,"edge":{"control_path":"/scratch/ssaha/cosmos-transfer2.5/outputs/multicontrol_edgecompare_grid/_edges/sunny_semseg_edge.mp4","control_weight":1.0,"mask_path":null,"mask_prompt":null,"preset_edge_threshold":"medium"},"depth":null,"vis":{"control_path":null,"control_weight":0.2,"mask_path":null,"mask_prompt":null,"preset_blur_strength":"medium"},"seg":null,"guided_generation_mask":null,"guided_generation_step_threshold":25,"guided_generation_foreground_labels":null} \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg.mp4 b/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg.mp4 deleted file mode 100644 index e77bc4a59fa46b0bd18271a9f5c6d7429e78426f..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:de737b533e31395e1b685c5d6e96b8838cc8324e6e3f56ceba8fea2ed3cf0d49 -size 1770115 diff --git a/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg.txt b/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg.txt deleted file mode 100644 index 464b6055f679cb63d0db8e54bd910217c87b403b..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg.txt +++ /dev/null @@ -1 +0,0 @@ -The video shows an urban intersection captured from a vehicle-mounted camera on a brilliant clear sunny day. A deep blue cloudless sky sits over the scene, warm directional sunlight casts long crisp shadows across the dry asphalt, and the painted lane markings, stop lines and pedestrian crosswalks are bright and high-contrast. Multiple vehicles move through the junction, low-rise buildings, sidewalks, parked cars and street lamps line the streets, and the camera follows the moving ego vehicle smoothly. Photorealistic, cinematic daylight, high detail. \ No newline at end of file diff --git a/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg_control_edge.mp4 b/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg_control_edge.mp4 deleted file mode 100644 index 517a976ec0a5d8e4a484eb65a5ac5ad8308f733a..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg_control_edge.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:57c1f383a1f61fc52a275e2a3d237bee50a45e7901dc709b401226496891cd0c -size 1406752 diff --git a/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg_control_vis.mp4 b/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg_control_vis.mp4 deleted file mode 100644 index 34f0b6e199ee4029ebdfebc39c17fa0c9132a9f0..0000000000000000000000000000000000000000 --- a/multicontrol_edgecompare_grid/sunny/weather/semseg/sunny_weather_semseg_control_vis.mp4 +++ /dev/null @@ -1,3 +0,0 @@ -version https://git-lfs.github.com/spec/v1 -oid sha256:282799a9e77adfeeb3c049be5c9a739ce7b15b57f4e9e386fb937053bde1d587 -size 293428