Upload LingBot fast chunk-size ablation

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/controls/example05_pose_ui_corrected/action.npy

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+size 15504

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/controls/example05_pose_ui_corrected/ijkl_action.npy

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+size 15504

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/controls/example05_pose_ui_corrected/intrinsics.npy

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+size 15504

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/controls/example05_pose_ui_corrected/poses.npy

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+version https://git-lfs.github.com/spec/v1
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+size 61632

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/controls/example05_pose_ui_corrected/prompt.txt

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+The video presents a soaring journey through a fantasy jungle. The wind whips past the rider's blue hands gripping the reins, causing the leather straps to vibrate. The ancient gothic castle approaches steadily, its stone details becoming clearer against the backdrop of floating islands and distant waterfalls.

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/controls/example05_pose_ui_corrected/wasd_action.npy

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+size 15504

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/logs/example05_chunk01_seed6200.log

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+Command: torchrun --nproc_per_node 4 --master_port 37470 generate_fast.py --task i2v-A14B --size '480*832' --ckpt_dir models/lingbot-world-base-cam --image experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg --action_path experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected --dit_fsdp --t5_fsdp --ulysses_size 4 --frame_num 141 --base_seed 6200 --save_file experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4 --prompt 'A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.' --chunk_size 1
+W0529 00:30:04.355000 2200098 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] 
+W0529 00:30:04.355000 2200098 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
+W0529 00:30:04.355000 2200098 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0529 00:30:04.355000 2200098 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
+[2026-05-29 00:30:26,547] INFO: offload_model is not specified, set to False.
+[2026-05-29 00:30:26,580] INFO: Generation job args: Namespace(task='i2v-A14B', size='480*832', frame_num=141, ckpt_dir='models/lingbot-world-base-cam', offload_model=False, ulysses_size=4, t5_fsdp=True, t5_cpu=False, dit_fsdp=True, save_file='experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4', prompt='A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.', prompt_b=None, switch_frame=None, prompt_switch_case=None, use_prompt_extend=False, base_seed=6200, image='experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg', action_path='experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected', sample_shift=10.0, convert_model_dtype=False, local_attn_size=-1, sink_size=0, max_attention_size=None, chunk_size=1, save_dir='output')
+[2026-05-29 00:30:26,581] INFO: Generation model config: {'__name__': 'Config: Wan I2V A14B', 't5_model': 'umt5_xxl', 't5_dtype': torch.bfloat16, 'text_len': 512, 'param_dtype': torch.bfloat16, 'num_train_timesteps': 1000, 'sample_fps': 16, 'sample_neg_prompt': '画面突变，色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走，镜头晃动，画面闪烁，模糊，噪点，水印，签名，文字，变形，扭曲，液化，不合逻辑的结构，卡顿，PPT幻灯片感，过暗，欠曝，低对比度，霓虹灯光感，过度锐化，3D渲染感，人物，行人，游客，身体，皮肤，肢体，面部特征，汽车，电线', 'frame_num': 81, 't5_checkpoint': 'models_t5_umt5-xxl-enc-bf16.pth', 't5_tokenizer': 'google/umt5-xxl', 'vae_checkpoint': 'Wan2.1_VAE.pth', 'vae_stride': (4, 8, 8), 'patch_size': (1, 2, 2), 'dim': 5120, 'ffn_dim': 13824, 'freq_dim': 256, 'num_heads': 40, 'num_layers': 40, 'window_size': (-1, -1), 'qk_norm': True, 'cross_attn_norm': True, 'eps': 1e-06, 'low_noise_checkpoint': 'low_noise_model', 'high_noise_checkpoint': 'high_noise_model', 'fast_noise_checkpoint': 'lingbot_world_fast', 'sample_shift': 10.0, 'sample_steps': 70, 'boundary': 0.947, 'sample_guide_scale': (5.0, 5.0)}
+NCCL version 2.21.5+cuda12.4
+[2026-05-29 00:30:28,259] INFO: Input prompt: A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.
+[2026-05-29 00:30:28,317] INFO: Input image: experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg
+[2026-05-29 00:30:28,317] INFO: Creating WanI2VFast pipeline.
+[2026-05-29 00:31:19,770] INFO: loading models/lingbot-world-base-cam/models_t5_umt5-xxl-enc-bf16.pth
+[2026-05-29 00:31:45,191] INFO: loading models/lingbot-world-base-cam/Wan2.1_VAE.pth
+[2026-05-29 00:31:46,600] INFO: Creating WanModelFast from models/lingbot-world-base-cam
+
+[2026-05-29 00:38:50,348] INFO: Generating video ...
+
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+
+
+
+[2026-05-29 00:40:06,877] INFO: Saving generated video to experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4
+[2026-05-29 00:40:10,192] INFO: Finished.

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/logs/example05_chunk02_seed6200.log

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+Command: torchrun --nproc_per_node 4 --master_port 37570 generate_fast.py --task i2v-A14B --size '480*832' --ckpt_dir models/lingbot-world-base-cam --image experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg --action_path experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected --dit_fsdp --t5_fsdp --ulysses_size 4 --frame_num 141 --base_seed 6200 --save_file experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4 --prompt 'A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.' --chunk_size 2
+W0529 00:30:04.305000 2258681 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] 
+W0529 00:30:04.305000 2258681 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
+W0529 00:30:04.305000 2258681 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0529 00:30:04.305000 2258681 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
+[2026-05-29 00:30:26,547] INFO: offload_model is not specified, set to False.
+[2026-05-29 00:30:26,580] INFO: Generation job args: Namespace(task='i2v-A14B', size='480*832', frame_num=141, ckpt_dir='models/lingbot-world-base-cam', offload_model=False, ulysses_size=4, t5_fsdp=True, t5_cpu=False, dit_fsdp=True, save_file='experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4', prompt='A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.', prompt_b=None, switch_frame=None, prompt_switch_case=None, use_prompt_extend=False, base_seed=6200, image='experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg', action_path='experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected', sample_shift=10.0, convert_model_dtype=False, local_attn_size=-1, sink_size=0, max_attention_size=None, chunk_size=2, save_dir='output')
+[2026-05-29 00:30:26,581] INFO: Generation model config: {'__name__': 'Config: Wan I2V A14B', 't5_model': 'umt5_xxl', 't5_dtype': torch.bfloat16, 'text_len': 512, 'param_dtype': torch.bfloat16, 'num_train_timesteps': 1000, 'sample_fps': 16, 'sample_neg_prompt': '画面突变，色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走，镜头晃动，画面闪烁，模糊，噪点，水印，签名，文字，变形，扭曲，液化，不合逻辑的结构，卡顿，PPT幻灯片感，过暗，欠曝，低对比度，霓虹灯光感，过度锐化，3D渲染感，人物，行人，游客，身体，皮肤，肢体，面部特征，汽车，电线', 'frame_num': 81, 't5_checkpoint': 'models_t5_umt5-xxl-enc-bf16.pth', 't5_tokenizer': 'google/umt5-xxl', 'vae_checkpoint': 'Wan2.1_VAE.pth', 'vae_stride': (4, 8, 8), 'patch_size': (1, 2, 2), 'dim': 5120, 'ffn_dim': 13824, 'freq_dim': 256, 'num_heads': 40, 'num_layers': 40, 'window_size': (-1, -1), 'qk_norm': True, 'cross_attn_norm': True, 'eps': 1e-06, 'low_noise_checkpoint': 'low_noise_model', 'high_noise_checkpoint': 'high_noise_model', 'fast_noise_checkpoint': 'lingbot_world_fast', 'sample_shift': 10.0, 'sample_steps': 70, 'boundary': 0.947, 'sample_guide_scale': (5.0, 5.0)}
+NCCL version 2.21.5+cuda12.4
+[2026-05-29 00:30:28,284] INFO: Input prompt: A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.
+[2026-05-29 00:30:28,339] INFO: Input image: experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg
+[2026-05-29 00:30:28,339] INFO: Creating WanI2VFast pipeline.
+[2026-05-29 00:31:19,339] INFO: loading models/lingbot-world-base-cam/models_t5_umt5-xxl-enc-bf16.pth
+[2026-05-29 00:31:43,185] INFO: loading models/lingbot-world-base-cam/Wan2.1_VAE.pth
+[2026-05-29 00:31:44,517] INFO: Creating WanModelFast from models/lingbot-world-base-cam
+
+[2026-05-29 00:38:23,871] INFO: Generating video ...
+
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+
+
+
+[2026-05-29 00:39:26,723] INFO: Saving generated video to experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4
+[2026-05-29 00:39:29,450] INFO: Finished.

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/logs/example05_chunk03_seed6200.log

@@ -0,0 +1,23 @@
+Command: torchrun --nproc_per_node 4 --master_port 37670 generate_fast.py --task i2v-A14B --size '480*832' --ckpt_dir models/lingbot-world-base-cam --image experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg --action_path experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected --dit_fsdp --t5_fsdp --ulysses_size 4 --frame_num 141 --base_seed 6200 --save_file experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200.mp4 --prompt 'A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.' --chunk_size 3
+W0529 00:39:59.555000 322327 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] 
+W0529 00:39:59.555000 322327 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
+W0529 00:39:59.555000 322327 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0529 00:39:59.555000 322327 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
+[2026-05-29 00:40:23,334] INFO: offload_model is not specified, set to False.
+[2026-05-29 00:40:23,372] INFO: Generation job args: Namespace(task='i2v-A14B', size='480*832', frame_num=141, ckpt_dir='models/lingbot-world-base-cam', offload_model=False, ulysses_size=4, t5_fsdp=True, t5_cpu=False, dit_fsdp=True, save_file='experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200.mp4', prompt='A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.', prompt_b=None, switch_frame=None, prompt_switch_case=None, use_prompt_extend=False, base_seed=6200, image='experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg', action_path='experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected', sample_shift=10.0, convert_model_dtype=False, local_attn_size=-1, sink_size=0, max_attention_size=None, chunk_size=3, save_dir='output')
+[2026-05-29 00:40:23,373] INFO: Generation model config: {'__name__': 'Config: Wan I2V A14B', 't5_model': 'umt5_xxl', 't5_dtype': torch.bfloat16, 'text_len': 512, 'param_dtype': torch.bfloat16, 'num_train_timesteps': 1000, 'sample_fps': 16, 'sample_neg_prompt': '画面突变，色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走，镜头晃动，画面闪烁，模糊，噪点，水印，签名，文字，变形，扭曲，液化，不合逻辑的结构，卡顿，PPT幻灯片感，过暗，欠曝，低对比度，霓虹灯光感，过度锐化，3D渲染感，人物，行人，游客，身体，皮肤，肢体，面部特征，汽车，电线', 'frame_num': 81, 't5_checkpoint': 'models_t5_umt5-xxl-enc-bf16.pth', 't5_tokenizer': 'google/umt5-xxl', 'vae_checkpoint': 'Wan2.1_VAE.pth', 'vae_stride': (4, 8, 8), 'patch_size': (1, 2, 2), 'dim': 5120, 'ffn_dim': 13824, 'freq_dim': 256, 'num_heads': 40, 'num_layers': 40, 'window_size': (-1, -1), 'qk_norm': True, 'cross_attn_norm': True, 'eps': 1e-06, 'low_noise_checkpoint': 'low_noise_model', 'high_noise_checkpoint': 'high_noise_model', 'fast_noise_checkpoint': 'lingbot_world_fast', 'sample_shift': 10.0, 'sample_steps': 70, 'boundary': 0.947, 'sample_guide_scale': (5.0, 5.0)}
+NCCL version 2.21.5+cuda12.4
+[2026-05-29 00:40:25,074] INFO: Input prompt: A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.
+[2026-05-29 00:40:25,127] INFO: Input image: experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg
+[2026-05-29 00:40:25,127] INFO: Creating WanI2VFast pipeline.
+[2026-05-29 00:41:15,567] INFO: loading models/lingbot-world-base-cam/models_t5_umt5-xxl-enc-bf16.pth
+[2026-05-29 00:41:34,050] INFO: loading models/lingbot-world-base-cam/Wan2.1_VAE.pth
+[2026-05-29 00:41:34,740] INFO: Creating WanModelFast from models/lingbot-world-base-cam
+
+[2026-05-29 00:47:09,723] INFO: Generating video ...
+
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+
+
+
+[2026-05-29 00:48:06,662] INFO: Saving generated video to experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200.mp4
+[2026-05-29 00:48:09,729] INFO: Finished.

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/logs/example05_chunk04_seed6200.log

@@ -0,0 +1,23 @@
+Command: torchrun --nproc_per_node 4 --master_port 37770 generate_fast.py --task i2v-A14B --size '480*832' --ckpt_dir models/lingbot-world-base-cam --image experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg --action_path experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected --dit_fsdp --t5_fsdp --ulysses_size 4 --frame_num 141 --base_seed 6200 --save_file experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200.mp4 --prompt 'A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.' --chunk_size 4
+W0529 00:40:27.577000 2268310 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] 
+W0529 00:40:27.577000 2268310 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
+W0529 00:40:27.577000 2268310 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0529 00:40:27.577000 2268310 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
+[2026-05-29 00:40:39,822] INFO: offload_model is not specified, set to False.
+[2026-05-29 00:40:39,836] INFO: Generation job args: Namespace(task='i2v-A14B', size='480*832', frame_num=141, ckpt_dir='models/lingbot-world-base-cam', offload_model=False, ulysses_size=4, t5_fsdp=True, t5_cpu=False, dit_fsdp=True, save_file='experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200.mp4', prompt='A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.', prompt_b=None, switch_frame=None, prompt_switch_case=None, use_prompt_extend=False, base_seed=6200, image='experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg', action_path='experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected', sample_shift=10.0, convert_model_dtype=False, local_attn_size=-1, sink_size=0, max_attention_size=None, chunk_size=4, save_dir='output')
+[2026-05-29 00:40:39,836] INFO: Generation model config: {'__name__': 'Config: Wan I2V A14B', 't5_model': 'umt5_xxl', 't5_dtype': torch.bfloat16, 'text_len': 512, 'param_dtype': torch.bfloat16, 'num_train_timesteps': 1000, 'sample_fps': 16, 'sample_neg_prompt': '画面突变，色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走，镜头晃动，画面闪烁，模糊，噪点，水印，签名，文字，变形，扭曲，液化，不合逻辑的结构，卡顿，PPT幻灯片感，过暗，欠曝，低对比度，霓虹灯光感，过度锐化，3D渲染感，人物，行人，游客，身体，皮肤，肢体，面部特征，汽车，电线', 'frame_num': 81, 't5_checkpoint': 'models_t5_umt5-xxl-enc-bf16.pth', 't5_tokenizer': 'google/umt5-xxl', 'vae_checkpoint': 'Wan2.1_VAE.pth', 'vae_stride': (4, 8, 8), 'patch_size': (1, 2, 2), 'dim': 5120, 'ffn_dim': 13824, 'freq_dim': 256, 'num_heads': 40, 'num_layers': 40, 'window_size': (-1, -1), 'qk_norm': True, 'cross_attn_norm': True, 'eps': 1e-06, 'low_noise_checkpoint': 'low_noise_model', 'high_noise_checkpoint': 'high_noise_model', 'fast_noise_checkpoint': 'lingbot_world_fast', 'sample_shift': 10.0, 'sample_steps': 70, 'boundary': 0.947, 'sample_guide_scale': (5.0, 5.0)}
+NCCL version 2.21.5+cuda12.4
+[2026-05-29 00:40:41,287] INFO: Input prompt: A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.
+[2026-05-29 00:40:41,328] INFO: Input image: experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg
+[2026-05-29 00:40:41,328] INFO: Creating WanI2VFast pipeline.
+[2026-05-29 00:41:31,682] INFO: loading models/lingbot-world-base-cam/models_t5_umt5-xxl-enc-bf16.pth
+[2026-05-29 00:41:49,039] INFO: loading models/lingbot-world-base-cam/Wan2.1_VAE.pth
+[2026-05-29 00:41:49,280] INFO: Creating WanModelFast from models/lingbot-world-base-cam
+
+[2026-05-29 00:42:28,812] INFO: Generating video ...
+
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+
+
+
+[2026-05-29 00:43:20,728] INFO: Saving generated video to experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200.mp4
+[2026-05-29 00:43:23,220] INFO: Finished.

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/logs/example05_chunk06_seed6200.log

@@ -0,0 +1,23 @@
+Command: torchrun --nproc_per_node 4 --master_port 37870 generate_fast.py --task i2v-A14B --size '480*832' --ckpt_dir models/lingbot-world-base-cam --image experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg --action_path experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected --dit_fsdp --t5_fsdp --ulysses_size 4 --frame_num 141 --base_seed 6200 --save_file experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200.mp4 --prompt 'A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.' --chunk_size 6
+W0529 00:43:33.644000 2218761 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] 
+W0529 00:43:33.644000 2218761 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
+W0529 00:43:33.644000 2218761 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0529 00:43:33.644000 2218761 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
+[2026-05-29 00:43:42,273] INFO: offload_model is not specified, set to False.
+[2026-05-29 00:43:42,287] INFO: Generation job args: Namespace(task='i2v-A14B', size='480*832', frame_num=141, ckpt_dir='models/lingbot-world-base-cam', offload_model=False, ulysses_size=4, t5_fsdp=True, t5_cpu=False, dit_fsdp=True, save_file='experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200.mp4', prompt='A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.', prompt_b=None, switch_frame=None, prompt_switch_case=None, use_prompt_extend=False, base_seed=6200, image='experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg', action_path='experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected', sample_shift=10.0, convert_model_dtype=False, local_attn_size=-1, sink_size=0, max_attention_size=None, chunk_size=6, save_dir='output')
+[2026-05-29 00:43:42,287] INFO: Generation model config: {'__name__': 'Config: Wan I2V A14B', 't5_model': 'umt5_xxl', 't5_dtype': torch.bfloat16, 'text_len': 512, 'param_dtype': torch.bfloat16, 'num_train_timesteps': 1000, 'sample_fps': 16, 'sample_neg_prompt': '画面突变，色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走，镜头晃动，画面闪烁，模糊，噪点，水印，签名，文字，变形，扭曲，液化，不合逻辑的结构，卡顿，PPT幻灯片感，过暗，欠曝，低对比度，霓虹灯光感，过度锐化，3D渲染感，人物，行人，游客，身体，皮肤，肢体，面部特征，汽车，电线', 'frame_num': 81, 't5_checkpoint': 'models_t5_umt5-xxl-enc-bf16.pth', 't5_tokenizer': 'google/umt5-xxl', 'vae_checkpoint': 'Wan2.1_VAE.pth', 'vae_stride': (4, 8, 8), 'patch_size': (1, 2, 2), 'dim': 5120, 'ffn_dim': 13824, 'freq_dim': 256, 'num_heads': 40, 'num_layers': 40, 'window_size': (-1, -1), 'qk_norm': True, 'cross_attn_norm': True, 'eps': 1e-06, 'low_noise_checkpoint': 'low_noise_model', 'high_noise_checkpoint': 'high_noise_model', 'fast_noise_checkpoint': 'lingbot_world_fast', 'sample_shift': 10.0, 'sample_steps': 70, 'boundary': 0.947, 'sample_guide_scale': (5.0, 5.0)}
+NCCL version 2.21.5+cuda12.4
+[2026-05-29 00:43:43,740] INFO: Input prompt: A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.
+[2026-05-29 00:43:43,752] INFO: Input image: experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg
+[2026-05-29 00:43:43,752] INFO: Creating WanI2VFast pipeline.
+[2026-05-29 00:44:35,454] INFO: loading models/lingbot-world-base-cam/models_t5_umt5-xxl-enc-bf16.pth
+[2026-05-29 00:44:46,120] INFO: loading models/lingbot-world-base-cam/Wan2.1_VAE.pth
+[2026-05-29 00:44:46,370] INFO: Creating WanModelFast from models/lingbot-world-base-cam
+
+[2026-05-29 00:45:28,042] INFO: Generating video ...
+
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+
+
+
+[2026-05-29 00:46:18,166] INFO: Saving generated video to experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200.mp4
+[2026-05-29 00:46:20,558] INFO: Finished.

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/logs/example05_chunk12_seed6200.log

@@ -0,0 +1,23 @@
+Command: torchrun --nproc_per_node 4 --master_port 37970 generate_fast.py --task i2v-A14B --size '480*832' --ckpt_dir models/lingbot-world-base-cam --image experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg --action_path experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected --dit_fsdp --t5_fsdp --ulysses_size 4 --frame_num 141 --base_seed 6200 --save_file experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200.mp4 --prompt 'A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.' --chunk_size 12
+W0529 00:46:57.517000 2223590 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] 
+W0529 00:46:57.517000 2223590 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
+W0529 00:46:57.517000 2223590 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] Setting OMP_NUM_THREADS environment variable for each process to be 1 in default, to avoid your system being overloaded, please further tune the variable for optimal performance in your application as needed. 
+W0529 00:46:57.517000 2223590 /lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/miniconda3/envs/lingbot_world_repro/lib/python3.10/site-packages/torch/distributed/run.py:793] *****************************************
+[2026-05-29 00:47:06,273] INFO: offload_model is not specified, set to False.
+[2026-05-29 00:47:06,288] INFO: Generation job args: Namespace(task='i2v-A14B', size='480*832', frame_num=141, ckpt_dir='models/lingbot-world-base-cam', offload_model=False, ulysses_size=4, t5_fsdp=True, t5_cpu=False, dit_fsdp=True, save_file='experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200.mp4', prompt='A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.', prompt_b=None, switch_frame=None, prompt_switch_case=None, use_prompt_extend=False, base_seed=6200, image='experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg', action_path='experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected', sample_shift=10.0, convert_model_dtype=False, local_attn_size=-1, sink_size=0, max_attention_size=None, chunk_size=12, save_dir='output')
+[2026-05-29 00:47:06,288] INFO: Generation model config: {'__name__': 'Config: Wan I2V A14B', 't5_model': 'umt5_xxl', 't5_dtype': torch.bfloat16, 'text_len': 512, 'param_dtype': torch.bfloat16, 'num_train_timesteps': 1000, 'sample_fps': 16, 'sample_neg_prompt': '画面突变，色调艳丽，过曝，静态，细节模糊不清，字幕，风格，作品，画作，画面，静止，整体发灰，最差质量，低质量，JPEG压缩残留，丑陋的，残缺的，多余的手指，画得不好的手部，画得不好的脸部，畸形的，毁容的，形态畸形的肢体，手指融合，静止不动的画面，杂乱的背景，三条腿，背景人很多，倒着走，镜头晃动，画面闪烁，模糊，噪点，水印，签名，文字，变形，扭曲，液化，不合逻辑的结构，卡顿，PPT幻灯片感，过暗，欠曝，低对比度，霓虹灯光感，过度锐化，3D渲染感，人物，行人，游客，身体，皮肤，肢体，面部特征，汽车，电线', 'frame_num': 81, 't5_checkpoint': 'models_t5_umt5-xxl-enc-bf16.pth', 't5_tokenizer': 'google/umt5-xxl', 'vae_checkpoint': 'Wan2.1_VAE.pth', 'vae_stride': (4, 8, 8), 'patch_size': (1, 2, 2), 'dim': 5120, 'ffn_dim': 13824, 'freq_dim': 256, 'num_heads': 40, 'num_layers': 40, 'window_size': (-1, -1), 'qk_norm': True, 'cross_attn_norm': True, 'eps': 1e-06, 'low_noise_checkpoint': 'low_noise_model', 'high_noise_checkpoint': 'high_noise_model', 'fast_noise_checkpoint': 'lingbot_world_fast', 'sample_shift': 10.0, 'sample_steps': 70, 'boundary': 0.947, 'sample_guide_scale': (5.0, 5.0)}
+NCCL version 2.21.5+cuda12.4
+[2026-05-29 00:47:07,897] INFO: Input prompt: A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.
+[2026-05-29 00:47:07,908] INFO: Input image: experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg
+[2026-05-29 00:47:07,908] INFO: Creating WanI2VFast pipeline.
+[2026-05-29 00:47:58,351] INFO: loading models/lingbot-world-base-cam/models_t5_umt5-xxl-enc-bf16.pth
+[2026-05-29 00:48:06,754] INFO: loading models/lingbot-world-base-cam/Wan2.1_VAE.pth
+[2026-05-29 00:48:06,959] INFO: Creating WanModelFast from models/lingbot-world-base-cam
+
+[2026-05-29 00:48:46,548] INFO: Generating video ...
+
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+
+
+
+[2026-05-29 00:49:35,799] INFO: Saving generated video to experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200.mp4
+[2026-05-29 00:49:38,199] INFO: Finished.

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/manifest.json

@@ -0,0 +1,54 @@
+{
+  "description": "Same-prompt LingBot fast inference ablation over latent-frame chunk_size, rerun with pose-derived corrected WASD/IJKL visualization controls.",
+  "input_source": "repo_example_05_pose_ui_corrected",
+  "image": "experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg",
+  "action_path": "experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected",
+  "visualization_control_source": "wasd_action.npy and ijkl_action.npy regenerated from the same poses.npy used for camera conditioning",
+  "prompt_en": "A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.",
+  "prompt_zh": "第一人称电影镜头飞越茂密的幻想丛林，前景中蓝色双手握着震动的皮革缰绳，前方古老哥特城堡逐渐清晰，背景有漂浮岛屿和远处瀑布。",
+  "fps": 16,
+  "frame_num": 141,
+  "effective_duration_seconds": 8.8125,
+  "seed": 6200,
+  "size": "480*832",
+  "nproc_per_node": 4,
+  "chunk_sizes": [1, 2, 3, 4, 6, 12],
+  "cases": [
+    {
+      "case_id": "example05_chunk01_seed6200",
+      "chunk_size": 1,
+      "chunk_frame_span": 4,
+      "chunk_seconds": 0.25
+    },
+    {
+      "case_id": "example05_chunk02_seed6200",
+      "chunk_size": 2,
+      "chunk_frame_span": 8,
+      "chunk_seconds": 0.5
+    },
+    {
+      "case_id": "example05_chunk03_seed6200",
+      "chunk_size": 3,
+      "chunk_frame_span": 12,
+      "chunk_seconds": 0.75
+    },
+    {
+      "case_id": "example05_chunk04_seed6200",
+      "chunk_size": 4,
+      "chunk_frame_span": 16,
+      "chunk_seconds": 1.0
+    },
+    {
+      "case_id": "example05_chunk06_seed6200",
+      "chunk_size": 6,
+      "chunk_frame_span": 24,
+      "chunk_seconds": 1.5
+    },
+    {
+      "case_id": "example05_chunk12_seed6200",
+      "chunk_size": 12,
+      "chunk_frame_span": 48,
+      "chunk_seconds": 3.0
+    }
+  ]
+}

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/metrics/example05_chunk01_seed6200.json

@@ -0,0 +1,91 @@
+{
+  "case": {
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+    "chunk_size": 1,
+    "chunk_frame_span": 4,
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+    "prompt_en": "A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.",
+    "prompt_zh": "第一人称电影镜头飞越茂密的幻想丛林，前景中蓝色双手握着震动的皮革缰绳，前方古老哥特城堡逐渐清晰，背景有漂浮岛屿和远处瀑布。",
+    "fps": 16,
+    "frame_num": 141,
+    "effective_duration_seconds": 8.8125,
+    "seed": 6200,
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+    "generate_fast.py",
+    "--task",
+    "i2v-A14B",
+    "--size",
+    "480*832",
+    "--ckpt_dir",
+    "models/lingbot-world-base-cam",
+    "--image",
+    "experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg",
+    "--action_path",
+    "experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected",
+    "--dit_fsdp",
+    "--t5_fsdp",
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+    "--prompt",
+    "A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.",
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+    "1"
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+    "output_exists": true,
+    "output_size_bytes": 12847550,
+    "log_file": "experiments/fast_chunk_ablation_20260528_pose_ui_corrected/logs/example05_chunk01_seed6200.log",
+    "metrics_file": "experiments/fast_chunk_ablation_20260528_pose_ui_corrected/metrics/example05_chunk01_seed6200.json",
+    "nproc_per_node": 4
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+    "peak_single_gpu_memory_used_mib": 42219,
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+}

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/metrics/example05_chunk02_seed6200.json

@@ -0,0 +1,91 @@
+{
+  "case": {
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+    "chunk_size": 2,
+    "chunk_frame_span": 8,
+    "chunk_seconds": 0.5
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+    "prompt_en": "A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.",
+    "prompt_zh": "第一人称电影镜头飞越茂密的幻想丛林，前景中蓝色双手握着震动的皮革缰绳，前方古老哥特城堡逐渐清晰，背景有漂浮岛屿和远处瀑布。",
+    "fps": 16,
+    "frame_num": 141,
+    "effective_duration_seconds": 8.8125,
+    "seed": 6200,
+    "size": "480*832"
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+  "command": [
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+    "--nproc_per_node",
+    "4",
+    "--master_port",
+    "37570",
+    "generate_fast.py",
+    "--task",
+    "i2v-A14B",
+    "--size",
+    "480*832",
+    "--ckpt_dir",
+    "models/lingbot-world-base-cam",
+    "--image",
+    "experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg",
+    "--action_path",
+    "experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected",
+    "--dit_fsdp",
+    "--t5_fsdp",
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+    "6200",
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+    "A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.",
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+    "2"
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+    "log_file": "experiments/fast_chunk_ablation_20260528_pose_ui_corrected/logs/example05_chunk02_seed6200.log",
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+    "nproc_per_node": 4
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+}

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/metrics/example05_chunk03_seed6200.json

@@ -0,0 +1,91 @@
+{
+  "case": {
+    "case_id": "example05_chunk03_seed6200",
+    "chunk_size": 3,
+    "chunk_frame_span": 12,
+    "chunk_seconds": 0.75
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+    "prompt_en": "A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.",
+    "prompt_zh": "第一人称电影镜头飞越茂密的幻想丛林，前景中蓝色双手握着震动的皮革缰绳，前方古老哥特城堡逐渐清晰，背景有漂浮岛屿和远处瀑布。",
+    "fps": 16,
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+    "effective_duration_seconds": 8.8125,
+    "seed": 6200,
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+    "37670",
+    "generate_fast.py",
+    "--task",
+    "i2v-A14B",
+    "--size",
+    "480*832",
+    "--ckpt_dir",
+    "models/lingbot-world-base-cam",
+    "--image",
+    "experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg",
+    "--action_path",
+    "experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected",
+    "--dit_fsdp",
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+}

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/metrics/example05_chunk04_seed6200.json

@@ -0,0 +1,91 @@
+{
+  "case": {
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+    "chunk_size": 4,
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+    "prompt_en": "A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.",
+    "prompt_zh": "第一人称电影镜头飞越茂密的幻想丛林，前景中蓝色双手握着震动的皮革缰绳，前方古老哥特城堡逐渐清晰，背景有漂浮岛屿和远处瀑布。",
+    "fps": 16,
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+    "seed": 6200,
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+    "37770",
+    "generate_fast.py",
+    "--task",
+    "i2v-A14B",
+    "--size",
+    "480*832",
+    "--ckpt_dir",
+    "models/lingbot-world-base-cam",
+    "--image",
+    "experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg",
+    "--action_path",
+    "experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected",
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+}

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/metrics/example05_chunk06_seed6200.json

@@ -0,0 +1,91 @@
+{
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fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200_subtitled.srt

@@ -0,0 +1,8 @@
+1
+00:00:00,000 --> 00:00:08,812
+第一人称电影镜头飞越茂密的幻想丛林，前景中蓝色双手握着震动的皮
+革缰绳，前方古老哥特城堡逐渐清晰，背景有漂浮岛屿和远处瀑布。
+A first-person cinematic flight through a lush fantasy jungle, blue hands
+gripping vibrating leather reins in the foreground as an ancient gothic castle
+grows clearer ahead, with floating islands and distant waterfalls in the
+background.

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200.mp4

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+version https://git-lfs.github.com/spec/v1
+oid sha256:51fe5e75c2c95f6e7494b97abb0d194045c0fd55a32d447e4153a16798920f6b
+size 13584138

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200_subtitled.ass

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+[Script Info]
+ScriptType: v4.00+
+PlayResX: 832
+PlayResY: 464
+WrapStyle: 0
+ScaledBorderAndShadow: yes
+
+[V4+ Styles]
+Format: Name, Fontname, Fontsize, PrimaryColour, SecondaryColour, OutlineColour, BackColour, Bold, Italic, Underline, StrikeOut, ScaleX, ScaleY, Spacing, Angle, BorderStyle, Outline, Shadow, Alignment, MarginL, MarginR, MarginV, Encoding
+Style: Default,Arial Unicode MS,15,&H00FFFFFF,&H000000FF,&H00000000,&H98000000,0,0,0,0,100,100,0,0,3,2,0,2,30,30,24,1
+
+[Events]
+Format: Layer, Start, End, Style, Name, MarginL, MarginR, MarginV, Effect, Text
+Dialogue: 0,0:00:00.00,0:00:08.81,Default,,0,0,0,,第一人称电影镜头飞越茂密的幻想丛林，前景中蓝色双手握着震动的皮\N革缰绳，前方古老哥特城堡逐渐清晰，背景有漂浮岛屿和远处瀑布。\NA first-person cinematic flight through a lush fantasy jungle, blue hands\Ngripping vibrating leather reins in the foreground as an ancient gothic castle\Ngrows clearer ahead, with floating islands and distant waterfalls in the\Nbackground.

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200_subtitled.mp4

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+version https://git-lfs.github.com/spec/v1
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+size 5154629

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200_subtitled.srt

@@ -0,0 +1,8 @@
+1
+00:00:00,000 --> 00:00:08,812
+第一人称电影镜头飞越茂密的幻想丛林，前景中蓝色双手握着震动的皮
+革缰绳，前方古老哥特城堡逐渐清晰，背景有漂浮岛屿和远处瀑布。
+A first-person cinematic flight through a lush fantasy jungle, blue hands
+gripping vibrating leather reins in the foreground as an ancient gothic castle
+grows clearer ahead, with floating islands and distant waterfalls in the
+background.

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/report.md

@@ -0,0 +1,19 @@
+# LingBot Fast Chunk Size Ablation
+
+- Description: Same-prompt LingBot fast inference ablation over latent-frame chunk_size, rerun with pose-derived corrected WASD/IJKL visualization controls.
+- Prompt: A first-person cinematic flight through a lush fantasy jungle, blue hands gripping vibrating leather reins in the foreground as an ancient gothic castle grows clearer ahead, with floating islands and distant waterfalls in the background.
+- Image: `experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected/image.jpg`
+- Camera/action path: `experiments/fast_chunk_ablation_20260528_pose_ui_corrected/controls/example05_pose_ui_corrected`
+- Visualization controls: wasd_action.npy and ijkl_action.npy regenerated from the same poses.npy used for camera conditioning
+- Seed: `6200`
+- Frame num / FPS: `141` / `16`
+- Effective duration: `8.8125` seconds
+
+| chunk_size | chunk seconds | status | wall time s | peak single GPU MiB | mean GPU util % | output |
+| ---: | ---: | --- | ---: | ---: | ---: | --- |
+| 1 | 0.25 | ok | 624.4 | 42219 | 12.039 | `experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4` |
+| 2 | 0.5 | ok | 584.3 | 42193 | 10.703 | `experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4` |
+| 3 | 0.75 | ok | 508.1 | 41379 | 11.483 | `experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200.mp4` |
+| 4 | 1.0 | ok | 181.0 | 42135 | 32.871 | `experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200.mp4` |
+| 6 | 1.5 | ok | 171.1 | 42227 | 31.723 | `experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200.mp4` |
+| 12 | 3.0 | ok | 164.8 | 43305 | 35.14 | `experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200.mp4` |

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/run_fast_chunk_ablation_4gpu.sbatch

@@ -0,0 +1,35 @@
+#!/bin/bash
+#SBATCH -A nvr_elm_llm
+#SBATCH -p batch_block1,batch_block2,batch_block3,batch_block4
+#SBATCH -t 04:00:00
+#SBATCH -N 1
+#SBATCH --gpus-per-node=4
+#SBATCH -J nvr_elm_llm:fast-chunk-corrected
+#SBATCH --array=0-5%2
+#SBATCH -o experiments/fast_chunk_ablation_20260528_pose_ui_corrected/slurm/%x_%A_%a.out
+#SBATCH -e experiments/fast_chunk_ablation_20260528_pose_ui_corrected/slurm/%x_%A_%a.err
+
+set -euo pipefail
+
+REPO_ROOT="/lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/lingbot"
+CONDA_SH="/lustre/fsw/portfolios/nvr/users/shyang/miniconda3/etc/profile.d/conda.sh"
+LOCAL_ROOT="${LOCAL_ROOT:-experiments/fast_chunk_ablation_20260528_pose_ui_corrected}"
+NPROC="${NPROC_PER_NODE:-4}"
+MASTER_PORT=$((20000 + (SLURM_ARRAY_JOB_ID % 20000) + SLURM_ARRAY_TASK_ID * 100))
+
+cd "${REPO_ROOT}"
+mkdir -p "${LOCAL_ROOT}/slurm"
+source "${CONDA_SH}"
+conda activate lingbot_world_repro
+
+python "${LOCAL_ROOT}/run_fast_chunk_case.py" \
+  --manifest "${LOCAL_ROOT}/manifest.json" \
+  --case-index "${SLURM_ARRAY_TASK_ID}" \
+  --output-root "${LOCAL_ROOT}/outputs" \
+  --metrics-dir "${LOCAL_ROOT}/metrics" \
+  --log-dir "${LOCAL_ROOT}/logs" \
+  --ckpt-dir models/lingbot-world-base-cam \
+  --nproc-per-node "${NPROC}" \
+  --master-port "${MASTER_PORT}" \
+  --monitor-interval "${MONITOR_INTERVAL:-1.0}" \
+  --resume

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/run_fast_chunk_case.py

@@ -0,0 +1,319 @@
+#!/usr/bin/env python3
+from __future__ import annotations
+
+import argparse
+import csv
+import json
+import os
+import shlex
+import subprocess
+import sys
+import threading
+import time
+from pathlib import Path
+
+
+OOM_MARKERS = [
+    "CUDA out of memory",
+    "torch.OutOfMemoryError",
+    "out of memory",
+    "CUBLAS_STATUS_ALLOC_FAILED",
+]
+
+
+def load_manifest(path: Path) -> dict:
+    return json.loads(path.read_text(encoding="utf-8"))
+
+
+def query_gpu():
+    cmd = [
+        "nvidia-smi",
+        "--query-gpu=index,utilization.gpu,memory.used",
+        "--format=csv,noheader,nounits",
+    ]
+    try:
+        result = subprocess.run(
+            cmd,
+            check=True,
+            text=True,
+            stdout=subprocess.PIPE,
+            stderr=subprocess.PIPE,
+        )
+    except (FileNotFoundError, subprocess.CalledProcessError):
+        return []
+
+    rows = []
+    for line in result.stdout.splitlines():
+        parts = [part.strip() for part in line.split(",")]
+        if len(parts) != 3:
+            continue
+        try:
+            rows.append(
+                {
+                    "index": int(parts[0]),
+                    "utilization_gpu_percent": int(parts[1]),
+                    "memory_used_mib": int(parts[2]),
+                }
+            )
+        except ValueError:
+            continue
+    return rows
+
+
+def monitor_gpu(stop_event: threading.Event, samples: list[dict], interval: float) -> None:
+    while not stop_event.is_set():
+        readings = query_gpu()
+        if readings:
+            samples.append({"time": time.time(), "gpus": readings})
+        stop_event.wait(interval)
+
+
+def summarize_gpu(samples: list[dict]) -> dict:
+    if not samples:
+        return {
+            "peak_total_memory_used_mib": None,
+            "peak_single_gpu_memory_used_mib": None,
+            "peak_by_gpu_mib": {},
+            "mean_gpu_utilization_percent": None,
+            "mean_nonzero_gpu_count": None,
+        }
+
+    peak_total = 0
+    peak_single = 0
+    peak_by_gpu: dict[str, int] = {}
+    util_values = []
+    nonzero_counts = []
+    for sample in samples:
+        total = 0
+        nonzero = 0
+        for gpu in sample["gpus"]:
+            idx = str(gpu["index"])
+            used = gpu["memory_used_mib"]
+            util = gpu["utilization_gpu_percent"]
+            total += used
+            peak_single = max(peak_single, used)
+            peak_by_gpu[idx] = max(peak_by_gpu.get(idx, 0), used)
+            util_values.append(util)
+            if util > 0:
+                nonzero += 1
+        nonzero_counts.append(nonzero)
+        peak_total = max(peak_total, total)
+    return {
+        "peak_total_memory_used_mib": peak_total,
+        "peak_single_gpu_memory_used_mib": peak_single,
+        "peak_by_gpu_mib": peak_by_gpu,
+        "mean_gpu_utilization_percent": round(sum(util_values) / len(util_values), 3)
+        if util_values
+        else None,
+        "mean_nonzero_gpu_count": round(sum(nonzero_counts) / len(nonzero_counts), 3)
+        if nonzero_counts
+        else None,
+    }
+
+
+def detect_oom(log_file: Path) -> bool:
+    if not log_file.exists():
+        return False
+    text = log_file.read_text(encoding="utf-8", errors="ignore")
+    return any(marker in text for marker in OOM_MARKERS)
+
+
+def build_command(args: argparse.Namespace, manifest: dict, case: dict, output_file: Path) -> list[str]:
+    return [
+        "torchrun",
+        "--nproc_per_node",
+        str(args.nproc_per_node),
+        "--master_port",
+        str(args.master_port),
+        "generate_fast.py",
+        "--task",
+        "i2v-A14B",
+        "--size",
+        manifest["size"],
+        "--ckpt_dir",
+        args.ckpt_dir,
+        "--image",
+        manifest["image"],
+        "--action_path",
+        manifest["action_path"],
+        "--dit_fsdp",
+        "--t5_fsdp",
+        "--ulysses_size",
+        str(args.nproc_per_node),
+        "--frame_num",
+        str(manifest["frame_num"]),
+        "--base_seed",
+        str(manifest["seed"]),
+        "--save_file",
+        str(output_file),
+        "--prompt",
+        manifest["prompt_en"],
+        "--chunk_size",
+        str(case["chunk_size"]),
+    ]
+
+
+def write_summary_csv(path: Path, rows: list[dict]) -> None:
+    if not rows:
+        return
+    path.parent.mkdir(parents=True, exist_ok=True)
+    fieldnames = list(rows[0].keys())
+    with path.open("w", encoding="utf-8", newline="") as handle:
+        writer = csv.DictWriter(handle, fieldnames=fieldnames)
+        writer.writeheader()
+        writer.writerows(rows)
+
+
+def main() -> int:
+    parser = argparse.ArgumentParser()
+    parser.add_argument("--manifest", type=Path, default=Path("experiments/fast_chunk_ablation_20260528_pose_ui_corrected/manifest.json"))
+    parser.add_argument("--case-index", type=int, default=None)
+    parser.add_argument("--case-id", default=None)
+    parser.add_argument("--ckpt-dir", default="models/lingbot-world-base-cam")
+    parser.add_argument("--output-root", type=Path, default=Path("experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs"))
+    parser.add_argument("--metrics-dir", type=Path, default=Path("experiments/fast_chunk_ablation_20260528_pose_ui_corrected/metrics"))
+    parser.add_argument("--log-dir", type=Path, default=Path("experiments/fast_chunk_ablation_20260528_pose_ui_corrected/logs"))
+    parser.add_argument("--nproc-per-node", type=int, default=4)
+    parser.add_argument("--master-port", type=int, default=None)
+    parser.add_argument("--monitor-interval", type=float, default=1.0)
+    parser.add_argument("--resume", action="store_true", default=False)
+    args = parser.parse_args()
+
+    if args.master_port is None:
+        job_id = int(os.environ.get("SLURM_JOB_ID", os.getpid()))
+        task_id = int(os.environ.get("SLURM_ARRAY_TASK_ID", "0"))
+        args.master_port = 17000 + ((job_id * 97 + task_id * 7919 + os.getpid()) % 45000)
+
+    manifest = load_manifest(args.manifest)
+    cases = manifest["cases"]
+    if args.case_index is not None:
+        case = cases[args.case_index]
+    else:
+        matches = [item for item in cases if item["case_id"] == args.case_id]
+        if len(matches) != 1:
+            raise SystemExit(f"Expected one matching case, found {len(matches)}")
+        case = matches[0]
+
+    output_dir = args.output_root / f"chunk_size_{case['chunk_size']:02d}"
+    output_dir.mkdir(parents=True, exist_ok=True)
+    args.metrics_dir.mkdir(parents=True, exist_ok=True)
+    args.log_dir.mkdir(parents=True, exist_ok=True)
+    output_file = output_dir / f"fast_chunk_ablation_{case['case_id']}.mp4"
+    metrics_file = args.metrics_dir / f"{case['case_id']}.json"
+    log_file = args.log_dir / f"{case['case_id']}.log"
+
+    if args.resume and metrics_file.exists() and output_file.exists():
+        old = json.loads(metrics_file.read_text(encoding="utf-8"))
+        if old.get("status") == "ok" and old.get("output_exists"):
+            print(f"Case already completed: {output_file}")
+            return 0
+
+    cmd = build_command(args, manifest, case, output_file)
+    env = os.environ.copy()
+    env.setdefault("PYTHONUNBUFFERED", "1")
+    env.setdefault("TOKENIZERS_PARALLELISM", "false")
+    env.setdefault("NCCL_DEBUG", "WARN")
+
+    samples: list[dict] = []
+    stop_event = threading.Event()
+    monitor = threading.Thread(
+        target=monitor_gpu,
+        args=(stop_event, samples, args.monitor_interval),
+        daemon=True,
+    )
+
+    start = time.time()
+    monitor.start()
+    with log_file.open("w", encoding="utf-8") as log:
+        log.write("Command: " + " ".join(shlex.quote(part) for part in cmd) + "\n")
+        log.flush()
+        proc = subprocess.run(
+            cmd,
+            cwd=Path.cwd(),
+            env=env,
+            stdout=log,
+            stderr=subprocess.STDOUT,
+            text=True,
+        )
+    stop_event.set()
+    monitor.join(timeout=5)
+    end = time.time()
+
+    output_exists = output_file.exists()
+    status = "ok" if proc.returncode == 0 and output_exists else "failed"
+    if status == "failed" and detect_oom(log_file):
+        status = "oom"
+    summary = {
+        "case_id": case["case_id"],
+        "chunk_size": case["chunk_size"],
+        "chunk_frame_span": case["chunk_frame_span"],
+        "chunk_seconds": case["chunk_seconds"],
+        "frame_num": manifest["frame_num"],
+        "fps": manifest["fps"],
+        "effective_duration_seconds": manifest["effective_duration_seconds"],
+        "seed": manifest["seed"],
+        "status": status,
+        "returncode": proc.returncode,
+        "wall_time_seconds": round(end - start, 3),
+        "output_file": str(output_file),
+        "output_exists": output_exists,
+        "output_size_bytes": output_file.stat().st_size if output_exists else 0,
+        "log_file": str(log_file),
+        "metrics_file": str(metrics_file),
+        "nproc_per_node": args.nproc_per_node,
+    }
+    metrics = {
+        "case": case,
+        "manifest_settings": {
+            key: manifest[key]
+            for key in [
+                "image",
+                "action_path",
+                "prompt_en",
+                "prompt_zh",
+                "fps",
+                "frame_num",
+                "effective_duration_seconds",
+                "seed",
+                "size",
+            ]
+        },
+        "command": cmd,
+        "status": status,
+        "returncode": proc.returncode,
+        "start_time_unix": start,
+        "end_time_unix": end,
+        "wall_time_seconds": end - start,
+        "output_file": str(output_file),
+        "output_exists": output_exists,
+        "output_size_bytes": output_file.stat().st_size if output_exists else 0,
+        "summary": summary,
+        "gpu": summarize_gpu(samples),
+        "gpu_sample_count": len(samples),
+    }
+    metrics_file.write_text(json.dumps(metrics, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
+
+    rows = []
+    for path in sorted(args.metrics_dir.glob("*.json")):
+        try:
+            data = json.loads(path.read_text(encoding="utf-8"))
+        except Exception:
+            continue
+        row = dict(data.get("summary", {}))
+        gpu = data.get("gpu", {})
+        row["peak_single_gpu_memory_used_mib"] = gpu.get("peak_single_gpu_memory_used_mib")
+        row["peak_total_memory_used_mib"] = gpu.get("peak_total_memory_used_mib")
+        row["mean_gpu_utilization_percent"] = gpu.get("mean_gpu_utilization_percent")
+        row["mean_nonzero_gpu_count"] = gpu.get("mean_nonzero_gpu_count")
+        rows.append(row)
+    write_summary_csv(args.manifest.parent / "run_manifest.csv", rows)
+
+    if status != "ok":
+        print(f"Case {status}; see {log_file}", file=sys.stderr)
+        return proc.returncode if proc.returncode != 0 else 1
+    print(f"Case completed: {output_file}")
+    return 0
+
+
+if __name__ == "__main__":
+    raise SystemExit(main())

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/run_manifest.csv

@@ -0,0 +1,7 @@
+case_id,chunk_size,chunk_frame_span,chunk_seconds,frame_num,fps,effective_duration_seconds,seed,status,returncode,wall_time_seconds,peak_single_gpu_memory_used_mib,peak_total_memory_used_mib,mean_gpu_utilization_percent,mean_nonzero_gpu_count,output_file,output_size_bytes,nproc_per_node
+example05_chunk01_seed6200,1,4,0.25,141,16,8.8125,6200,ok,0,624.449,42219,142748,12.039,0.573,experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4,12847550,4
+example05_chunk02_seed6200,2,8,0.5,141,16,8.8125,6200,ok,0,584.266,42193,142030,10.703,0.5,experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4,12951727,4
+example05_chunk03_seed6200,3,12,0.75,141,16,8.8125,6200,ok,0,508.122,41379,143140,11.483,0.555,experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200.mp4,14601355,4
+example05_chunk04_seed6200,4,16,1.0,141,16,8.8125,6200,ok,0,181.017,42135,144042,32.871,1.465,experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200.mp4,15540042,4
+example05_chunk06_seed6200,6,24,1.5,141,16,8.8125,6200,ok,0,171.114,42227,145994,31.723,1.523,experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200.mp4,12878559,4
+example05_chunk12_seed6200,12,48,3.0,141,16,8.8125,6200,ok,0,164.83,43305,152560,35.14,1.566,experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200.mp4,13584138,4

fast-inference/chunk-size-ablation/2026-05-28_same_prompt_pose_ui_corrected/20260529_005115/run_manifest.json

@@ -0,0 +1,140 @@
+[
+  {
+    "case_id": "example05_chunk01_seed6200",
+    "chunk_size": 1,
+    "chunk_frame_span": 4,
+    "chunk_seconds": 0.25,
+    "frame_num": 141,
+    "fps": 16,
+    "effective_duration_seconds": 8.8125,
+    "seed": 6200,
+    "status": "ok",
+    "returncode": 0,
+    "wall_time_seconds": 624.449,
+    "output_file": "experiments/fast_chunk_ablation_20260528_pose_ui_corrected/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4",
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