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Upload LingBot fast chunk-size ablation

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  1. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/__pycache__/run_fast_chunk_case.cpython-312.pyc +0 -0
  2. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk01_seed6200.log +23 -0
  3. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk02_seed6200.log +23 -0
  4. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk03_seed6200.log +23 -0
  5. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk04_seed6200.log +23 -0
  6. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk06_seed6200.log +23 -0
  7. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk12_seed6200.log +23 -0
  8. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/manifest.json +53 -0
  9. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/metrics/example05_chunk01_seed6200.json +91 -0
  10. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/metrics/example05_chunk02_seed6200.json +91 -0
  11. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/metrics/example05_chunk03_seed6200.json +91 -0
  12. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/metrics/example05_chunk04_seed6200.json +91 -0
  13. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/metrics/example05_chunk06_seed6200.json +91 -0
  14. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/metrics/example05_chunk12_seed6200.json +91 -0
  15. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4 +3 -0
  16. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200_subtitled.ass +14 -0
  17. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200_subtitled.mp4 +3 -0
  18. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200_subtitled.srt +8 -0
  19. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4 +3 -0
  20. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200_subtitled.ass +14 -0
  21. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200_subtitled.mp4 +3 -0
  22. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200_subtitled.srt +8 -0
  23. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200.mp4 +3 -0
  24. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200_subtitled.ass +14 -0
  25. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200_subtitled.mp4 +3 -0
  26. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200_subtitled.srt +8 -0
  27. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200.mp4 +3 -0
  28. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200_subtitled.ass +14 -0
  29. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200_subtitled.mp4 +3 -0
  30. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200_subtitled.srt +8 -0
  31. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200.mp4 +3 -0
  32. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200_subtitled.ass +14 -0
  33. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200_subtitled.mp4 +3 -0
  34. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200_subtitled.srt +8 -0
  35. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200.mp4 +3 -0
  36. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200_subtitled.ass +14 -0
  37. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200_subtitled.mp4 +3 -0
  38. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200_subtitled.srt +8 -0
  39. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/report.md +17 -0
  40. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/run_fast_chunk_ablation_4gpu.sbatch +35 -0
  41. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/run_fast_chunk_case.py +319 -0
  42. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/run_manifest.csv +7 -0
  43. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/run_manifest.json +140 -0
  44. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_0.err +0 -0
  45. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_0.out +1 -0
  46. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_1.err +0 -0
  47. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_1.out +1 -0
  48. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_2.err +0 -0
  49. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_2.out +1 -0
  50. fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_3.err +1 -0
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/__pycache__/run_fast_chunk_case.cpython-312.pyc ADDED
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fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk01_seed6200.log ADDED
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+ Command: torchrun --nproc_per_node 4 --master_port 54584 generate_fast.py --task i2v-A14B --size '480*832' --ckpt_dir models/lingbot-world-base-cam --image examples/05/image.jpg --action_path examples/05 --dit_fsdp --t5_fsdp --ulysses_size 4 --frame_num 141 --base_seed 6200 --save_file experiments/fast_chunk_ablation_20260528/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
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+ W0528 22:14:50.260000 927363 /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]
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+ W0528 22:14:50.260000 927363 /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] *****************************************
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+ W0528 22:14:50.260000 927363 /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.
5
+ W0528 22:14:50.260000 927363 /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] *****************************************
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+ [2026-05-28 22:15:15,623] INFO: offload_model is not specified, set to False.
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+ [2026-05-28 22:15:15,671] 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/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='examples/05/image.jpg', action_path='examples/05', 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')
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+ [2026-05-28 22:15:15,671] 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)}
9
+ NCCL version 2.21.5+cuda12.4
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+ [2026-05-28 22:15:18,285] 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.
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+ [2026-05-28 22:15:18,341] INFO: Input image: examples/05/image.jpg
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+ [2026-05-28 22:15:18,341] INFO: Creating WanI2VFast pipeline.
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+ [2026-05-28 22:16:07,788] INFO: loading models/lingbot-world-base-cam/models_t5_umt5-xxl-enc-bf16.pth
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+ [2026-05-28 22:16:24,615] INFO: loading models/lingbot-world-base-cam/Wan2.1_VAE.pth
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+ [2026-05-28 22:16:25,271] INFO: Creating WanModelFast from models/lingbot-world-base-cam
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+
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+ [2026-05-28 22:26:55,307] INFO: Generating video ...
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+ [2026-05-28 22:28:12,079] INFO: Saving generated video to experiments/fast_chunk_ablation_20260528/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4
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+ [2026-05-28 22:28:14,530] INFO: Finished.
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk02_seed6200.log ADDED
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1
+ Command: torchrun --nproc_per_node 4 --master_port 17599 generate_fast.py --task i2v-A14B --size '480*832' --ckpt_dir models/lingbot-world-base-cam --image examples/05/image.jpg --action_path examples/05 --dit_fsdp --t5_fsdp --ulysses_size 4 --frame_num 141 --base_seed 6200 --save_file experiments/fast_chunk_ablation_20260528/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
2
+ W0528 22:14:50.260000 927364 /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]
3
+ W0528 22:14:50.260000 927364 /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] *****************************************
4
+ W0528 22:14:50.260000 927364 /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.
5
+ W0528 22:14:50.260000 927364 /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] *****************************************
6
+ [2026-05-28 22:15:15,623] INFO: offload_model is not specified, set to False.
7
+ [2026-05-28 22:15:15,671] 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/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='examples/05/image.jpg', action_path='examples/05', 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')
8
+ [2026-05-28 22:15:15,671] 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)}
9
+ NCCL version 2.21.5+cuda12.4
10
+ [2026-05-28 22:15:18,285] 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.
11
+ [2026-05-28 22:15:18,341] INFO: Input image: examples/05/image.jpg
12
+ [2026-05-28 22:15:18,341] INFO: Creating WanI2VFast pipeline.
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+ [2026-05-28 22:16:06,920] INFO: loading models/lingbot-world-base-cam/models_t5_umt5-xxl-enc-bf16.pth
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+ [2026-05-28 22:16:24,072] INFO: loading models/lingbot-world-base-cam/Wan2.1_VAE.pth
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+ [2026-05-28 22:16:25,335] INFO: Creating WanModelFast from models/lingbot-world-base-cam
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+
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+ [2026-05-28 22:26:57,990] INFO: Generating video ...
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+ [2026-05-28 22:27:58,166] INFO: Saving generated video to experiments/fast_chunk_ablation_20260528/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4
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+ [2026-05-28 22:28:00,893] INFO: Finished.
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk03_seed6200.log ADDED
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1
+ Command: torchrun --nproc_per_node 4 --master_port 37172 generate_fast.py --task i2v-A14B --size '480*832' --ckpt_dir models/lingbot-world-base-cam --image examples/05/image.jpg --action_path examples/05 --dit_fsdp --t5_fsdp --ulysses_size 4 --frame_num 141 --base_seed 6200 --save_file experiments/fast_chunk_ablation_20260528/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
2
+ W0528 22:28:20.233000 938938 /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]
3
+ W0528 22:28:20.233000 938938 /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] *****************************************
4
+ W0528 22:28:20.233000 938938 /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.
5
+ W0528 22:28:20.233000 938938 /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] *****************************************
6
+ [2026-05-28 22:28:28,830] INFO: offload_model is not specified, set to False.
7
+ [2026-05-28 22:28:28,845] 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/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='examples/05/image.jpg', action_path='examples/05', 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')
8
+ [2026-05-28 22:28:28,845] 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)}
9
+ NCCL version 2.21.5+cuda12.4
10
+ [2026-05-28 22:28:30,330] 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.
11
+ [2026-05-28 22:28:30,340] INFO: Input image: examples/05/image.jpg
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+ [2026-05-28 22:28:30,340] INFO: Creating WanI2VFast pipeline.
13
+ [2026-05-28 22:29:18,913] INFO: loading models/lingbot-world-base-cam/models_t5_umt5-xxl-enc-bf16.pth
14
+ [2026-05-28 22:29:23,264] INFO: loading models/lingbot-world-base-cam/Wan2.1_VAE.pth
15
+ [2026-05-28 22:29:23,417] INFO: Creating WanModelFast from models/lingbot-world-base-cam
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+
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+ [2026-05-28 22:30:05,128] INFO: Generating video ...
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+ [2026-05-28 22:30:58,348] INFO: Saving generated video to experiments/fast_chunk_ablation_20260528/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200.mp4
71
+ [2026-05-28 22:31:00,772] INFO: Finished.
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk04_seed6200.log ADDED
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1
+ Command: torchrun --nproc_per_node 4 --master_port 37113 generate_fast.py --task i2v-A14B --size '480*832' --ckpt_dir models/lingbot-world-base-cam --image examples/05/image.jpg --action_path examples/05 --dit_fsdp --t5_fsdp --ulysses_size 4 --frame_num 141 --base_seed 6200 --save_file experiments/fast_chunk_ablation_20260528/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
2
+ W0528 22:46:21.287000 942796 /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]
3
+ W0528 22:46:21.287000 942796 /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] *****************************************
4
+ W0528 22:46:21.287000 942796 /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.
5
+ W0528 22:46:21.287000 942796 /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] *****************************************
6
+ [2026-05-28 22:46:55,215] INFO: offload_model is not specified, set to False.
7
+ [2026-05-28 22:46:55,269] 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/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='examples/05/image.jpg', action_path='examples/05', 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')
8
+ [2026-05-28 22:46:55,270] 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)}
9
+ NCCL version 2.21.5+cuda12.4
10
+ [2026-05-28 22:46:57,166] 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.
11
+ [2026-05-28 22:46:57,251] INFO: Input image: examples/05/image.jpg
12
+ [2026-05-28 22:46:57,251] INFO: Creating WanI2VFast pipeline.
13
+ [2026-05-28 22:47:48,686] INFO: loading models/lingbot-world-base-cam/models_t5_umt5-xxl-enc-bf16.pth
14
+ [2026-05-28 22:48:08,625] INFO: loading models/lingbot-world-base-cam/Wan2.1_VAE.pth
15
+ [2026-05-28 22:48:10,029] INFO: Creating WanModelFast from models/lingbot-world-base-cam
16
+
17
+ [2026-05-28 22:58:09,406] INFO: Generating video ...
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+ [2026-05-28 22:59:06,451] INFO: Saving generated video to experiments/fast_chunk_ablation_20260528/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200.mp4
59
+ [2026-05-28 22:59:09,381] INFO: Finished.
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk06_seed6200.log ADDED
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1
+ Command: torchrun --nproc_per_node 4 --master_port 55131 generate_fast.py --task i2v-A14B --size '480*832' --ckpt_dir models/lingbot-world-base-cam --image examples/05/image.jpg --action_path examples/05 --dit_fsdp --t5_fsdp --ulysses_size 4 --frame_num 141 --base_seed 6200 --save_file experiments/fast_chunk_ablation_20260528/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
2
+ W0528 22:29:02.368000 940843 /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]
3
+ W0528 22:29:02.368000 940843 /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] *****************************************
4
+ W0528 22:29:02.368000 940843 /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.
5
+ W0528 22:29:02.368000 940843 /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] *****************************************
6
+ [2026-05-28 22:29:11,261] INFO: offload_model is not specified, set to False.
7
+ [2026-05-28 22:29:11,277] 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/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='examples/05/image.jpg', action_path='examples/05', 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')
8
+ [2026-05-28 22:29:11,277] 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)}
9
+ NCCL version 2.21.5+cuda12.4
10
+ [2026-05-28 22:29:12,665] 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.
11
+ [2026-05-28 22:29:12,675] INFO: Input image: examples/05/image.jpg
12
+ [2026-05-28 22:29:12,675] INFO: Creating WanI2VFast pipeline.
13
+ [2026-05-28 22:30:01,978] INFO: loading models/lingbot-world-base-cam/models_t5_umt5-xxl-enc-bf16.pth
14
+ [2026-05-28 22:30:08,358] INFO: loading models/lingbot-world-base-cam/Wan2.1_VAE.pth
15
+ [2026-05-28 22:30:08,554] INFO: Creating WanModelFast from models/lingbot-world-base-cam
16
+
17
+ [2026-05-28 22:30:46,208] INFO: Generating video ...
18
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43
+
44
+
45
+
46
+ [2026-05-28 22:31:35,811] INFO: Saving generated video to experiments/fast_chunk_ablation_20260528/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200.mp4
47
+ [2026-05-28 22:31:38,179] INFO: Finished.
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/logs/example05_chunk12_seed6200.log ADDED
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1
+ Command: torchrun --nproc_per_node 4 --master_port 21357 generate_fast.py --task i2v-A14B --size '480*832' --ckpt_dir models/lingbot-world-base-cam --image examples/05/image.jpg --action_path examples/05 --dit_fsdp --t5_fsdp --ulysses_size 4 --frame_num 141 --base_seed 6200 --save_file experiments/fast_chunk_ablation_20260528/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
2
+ W0528 22:31:18.606000 944637 /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]
3
+ W0528 22:31:18.606000 944637 /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] *****************************************
4
+ W0528 22:31:18.606000 944637 /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.
5
+ W0528 22:31:18.606000 944637 /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] *****************************************
6
+ [2026-05-28 22:31:27,278] INFO: offload_model is not specified, set to False.
7
+ [2026-05-28 22:31:27,297] 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/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='examples/05/image.jpg', action_path='examples/05', 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')
8
+ [2026-05-28 22:31:27,298] 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)}
9
+ NCCL version 2.21.5+cuda12.4
10
+ [2026-05-28 22:31:28,787] 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.
11
+ [2026-05-28 22:31:28,798] INFO: Input image: examples/05/image.jpg
12
+ [2026-05-28 22:31:28,798] INFO: Creating WanI2VFast pipeline.
13
+ [2026-05-28 22:32:19,468] INFO: loading models/lingbot-world-base-cam/models_t5_umt5-xxl-enc-bf16.pth
14
+ [2026-05-28 22:32:37,734] INFO: loading models/lingbot-world-base-cam/Wan2.1_VAE.pth
15
+ [2026-05-28 22:32:37,918] INFO: Creating WanModelFast from models/lingbot-world-base-cam
16
+
17
+ [2026-05-28 22:33:21,545] INFO: Generating video ...
18
+
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31
+
32
+
33
+
34
+ [2026-05-28 22:34:10,362] INFO: Saving generated video to experiments/fast_chunk_ablation_20260528/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200.mp4
35
+ [2026-05-28 22:34:12,758] INFO: Finished.
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/manifest.json ADDED
@@ -0,0 +1,53 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "description": "Same-prompt LingBot fast inference ablation over latent-frame chunk_size.",
3
+ "input_source": "repo_example_05",
4
+ "image": "examples/05/image.jpg",
5
+ "action_path": "examples/05",
6
+ "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.",
7
+ "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。",
8
+ "fps": 16,
9
+ "frame_num": 141,
10
+ "effective_duration_seconds": 8.8125,
11
+ "seed": 6200,
12
+ "size": "480*832",
13
+ "nproc_per_node": 4,
14
+ "chunk_sizes": [1, 2, 3, 4, 6, 12],
15
+ "cases": [
16
+ {
17
+ "case_id": "example05_chunk01_seed6200",
18
+ "chunk_size": 1,
19
+ "chunk_frame_span": 4,
20
+ "chunk_seconds": 0.25
21
+ },
22
+ {
23
+ "case_id": "example05_chunk02_seed6200",
24
+ "chunk_size": 2,
25
+ "chunk_frame_span": 8,
26
+ "chunk_seconds": 0.5
27
+ },
28
+ {
29
+ "case_id": "example05_chunk03_seed6200",
30
+ "chunk_size": 3,
31
+ "chunk_frame_span": 12,
32
+ "chunk_seconds": 0.75
33
+ },
34
+ {
35
+ "case_id": "example05_chunk04_seed6200",
36
+ "chunk_size": 4,
37
+ "chunk_frame_span": 16,
38
+ "chunk_seconds": 1.0
39
+ },
40
+ {
41
+ "case_id": "example05_chunk06_seed6200",
42
+ "chunk_size": 6,
43
+ "chunk_frame_span": 24,
44
+ "chunk_seconds": 1.5
45
+ },
46
+ {
47
+ "case_id": "example05_chunk12_seed6200",
48
+ "chunk_size": 12,
49
+ "chunk_frame_span": 48,
50
+ "chunk_seconds": 3.0
51
+ }
52
+ ]
53
+ }
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/metrics/example05_chunk01_seed6200.json ADDED
@@ -0,0 +1,91 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ {
2
+ "case": {
3
+ "case_id": "example05_chunk01_seed6200",
4
+ "chunk_size": 1,
5
+ "chunk_frame_span": 4,
6
+ "chunk_seconds": 0.25
7
+ },
8
+ "manifest_settings": {
9
+ "image": "examples/05/image.jpg",
10
+ "action_path": "examples/05",
11
+ "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.",
12
+ "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。",
13
+ "fps": 16,
14
+ "frame_num": 141,
15
+ "effective_duration_seconds": 8.8125,
16
+ "seed": 6200,
17
+ "size": "480*832"
18
+ },
19
+ "command": [
20
+ "torchrun",
21
+ "--nproc_per_node",
22
+ "4",
23
+ "--master_port",
24
+ "54584",
25
+ "generate_fast.py",
26
+ "--task",
27
+ "i2v-A14B",
28
+ "--size",
29
+ "480*832",
30
+ "--ckpt_dir",
31
+ "models/lingbot-world-base-cam",
32
+ "--image",
33
+ "examples/05/image.jpg",
34
+ "--action_path",
35
+ "examples/05",
36
+ "--dit_fsdp",
37
+ "--t5_fsdp",
38
+ "--ulysses_size",
39
+ "4",
40
+ "--frame_num",
41
+ "141",
42
+ "--base_seed",
43
+ "6200",
44
+ "--save_file",
45
+ "experiments/fast_chunk_ablation_20260528/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4",
46
+ "--prompt",
47
+ "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.",
48
+ "--chunk_size",
49
+ "1"
50
+ ],
51
+ "status": "ok",
52
+ "returncode": 0,
53
+ "start_time_unix": 1780031674.5294175,
54
+ "end_time_unix": 1780032497.1330109,
55
+ "wall_time_seconds": 822.6035933494568,
56
+ "output_file": "experiments/fast_chunk_ablation_20260528/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4",
57
+ "output_exists": true,
58
+ "output_size_bytes": 12860969,
59
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+ # LingBot Fast Chunk Size Ablation
2
+
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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.
4
+ - Image: `examples/05/image.jpg`
5
+ - Camera/action path: `examples/05`
6
+ - Seed: `6200`
7
+ - Frame num / FPS: `141` / `16`
8
+ - Effective duration: `8.8125` seconds
9
+
10
+ | chunk_size | chunk seconds | status | wall time s | peak single GPU MiB | mean GPU util % | output |
11
+ | ---: | ---: | --- | ---: | ---: | ---: | --- |
12
+ | 1 | 0.25 | ok | 822.6 | 42025 | 9.234 | `experiments/fast_chunk_ablation_20260528/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4` |
13
+ | 2 | 0.5 | ok | 809.0 | 42021 | 7.697 | `experiments/fast_chunk_ablation_20260528/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4` |
14
+ | 3 | 0.75 | ok | 164.4 | 41973 | 37.346 | `experiments/fast_chunk_ablation_20260528/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200.mp4` |
15
+ | 4 | 1.0 | ok | 795.6 | 42039 | 7.076 | `experiments/fast_chunk_ablation_20260528/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200.mp4` |
16
+ | 6 | 1.5 | ok | 159.6 | 42059 | 36.496 | `experiments/fast_chunk_ablation_20260528/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200.mp4` |
17
+ | 12 | 3.0 | ok | 178.0 | 42627 | 31.639 | `experiments/fast_chunk_ablation_20260528/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200.mp4` |
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/run_fast_chunk_ablation_4gpu.sbatch ADDED
@@ -0,0 +1,35 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/bin/bash
2
+ #SBATCH -A nvr_elm_llm
3
+ #SBATCH -p batch_block1,batch_block2,batch_block3,batch_block4
4
+ #SBATCH -t 04:00:00
5
+ #SBATCH -N 1
6
+ #SBATCH --gpus-per-node=4
7
+ #SBATCH -J nvr_elm_llm:fast-chunk-ablation
8
+ #SBATCH --array=0-5%2
9
+ #SBATCH -o experiments/fast_chunk_ablation_20260528/slurm/%x_%A_%a.out
10
+ #SBATCH -e experiments/fast_chunk_ablation_20260528/slurm/%x_%A_%a.err
11
+
12
+ set -euo pipefail
13
+
14
+ REPO_ROOT="/lustre/fs11/portfolios/nvr/projects/nvr_elm_llm/users/shyang/lingbot"
15
+ CONDA_SH="/lustre/fsw/portfolios/nvr/users/shyang/miniconda3/etc/profile.d/conda.sh"
16
+ LOCAL_ROOT="${LOCAL_ROOT:-experiments/fast_chunk_ablation_20260528}"
17
+ NPROC="${NPROC_PER_NODE:-4}"
18
+ MASTER_PORT=$((20000 + (SLURM_ARRAY_JOB_ID % 20000) + SLURM_ARRAY_TASK_ID * 100))
19
+
20
+ cd "${REPO_ROOT}"
21
+ mkdir -p "${LOCAL_ROOT}/slurm"
22
+ source "${CONDA_SH}"
23
+ conda activate lingbot_world_repro
24
+
25
+ python "${LOCAL_ROOT}/run_fast_chunk_case.py" \
26
+ --manifest "${LOCAL_ROOT}/manifest.json" \
27
+ --case-index "${SLURM_ARRAY_TASK_ID}" \
28
+ --output-root "${LOCAL_ROOT}/outputs" \
29
+ --metrics-dir "${LOCAL_ROOT}/metrics" \
30
+ --log-dir "${LOCAL_ROOT}/logs" \
31
+ --ckpt-dir models/lingbot-world-base-cam \
32
+ --nproc-per-node "${NPROC}" \
33
+ --master-port "${MASTER_PORT}" \
34
+ --monitor-interval "${MONITOR_INTERVAL:-1.0}" \
35
+ --resume
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/run_fast_chunk_case.py ADDED
@@ -0,0 +1,319 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ #!/usr/bin/env python3
2
+ from __future__ import annotations
3
+
4
+ import argparse
5
+ import csv
6
+ import json
7
+ import os
8
+ import shlex
9
+ import subprocess
10
+ import sys
11
+ import threading
12
+ import time
13
+ from pathlib import Path
14
+
15
+
16
+ OOM_MARKERS = [
17
+ "CUDA out of memory",
18
+ "torch.OutOfMemoryError",
19
+ "out of memory",
20
+ "CUBLAS_STATUS_ALLOC_FAILED",
21
+ ]
22
+
23
+
24
+ def load_manifest(path: Path) -> dict:
25
+ return json.loads(path.read_text(encoding="utf-8"))
26
+
27
+
28
+ def query_gpu():
29
+ cmd = [
30
+ "nvidia-smi",
31
+ "--query-gpu=index,utilization.gpu,memory.used",
32
+ "--format=csv,noheader,nounits",
33
+ ]
34
+ try:
35
+ result = subprocess.run(
36
+ cmd,
37
+ check=True,
38
+ text=True,
39
+ stdout=subprocess.PIPE,
40
+ stderr=subprocess.PIPE,
41
+ )
42
+ except (FileNotFoundError, subprocess.CalledProcessError):
43
+ return []
44
+
45
+ rows = []
46
+ for line in result.stdout.splitlines():
47
+ parts = [part.strip() for part in line.split(",")]
48
+ if len(parts) != 3:
49
+ continue
50
+ try:
51
+ rows.append(
52
+ {
53
+ "index": int(parts[0]),
54
+ "utilization_gpu_percent": int(parts[1]),
55
+ "memory_used_mib": int(parts[2]),
56
+ }
57
+ )
58
+ except ValueError:
59
+ continue
60
+ return rows
61
+
62
+
63
+ def monitor_gpu(stop_event: threading.Event, samples: list[dict], interval: float) -> None:
64
+ while not stop_event.is_set():
65
+ readings = query_gpu()
66
+ if readings:
67
+ samples.append({"time": time.time(), "gpus": readings})
68
+ stop_event.wait(interval)
69
+
70
+
71
+ def summarize_gpu(samples: list[dict]) -> dict:
72
+ if not samples:
73
+ return {
74
+ "peak_total_memory_used_mib": None,
75
+ "peak_single_gpu_memory_used_mib": None,
76
+ "peak_by_gpu_mib": {},
77
+ "mean_gpu_utilization_percent": None,
78
+ "mean_nonzero_gpu_count": None,
79
+ }
80
+
81
+ peak_total = 0
82
+ peak_single = 0
83
+ peak_by_gpu: dict[str, int] = {}
84
+ util_values = []
85
+ nonzero_counts = []
86
+ for sample in samples:
87
+ total = 0
88
+ nonzero = 0
89
+ for gpu in sample["gpus"]:
90
+ idx = str(gpu["index"])
91
+ used = gpu["memory_used_mib"]
92
+ util = gpu["utilization_gpu_percent"]
93
+ total += used
94
+ peak_single = max(peak_single, used)
95
+ peak_by_gpu[idx] = max(peak_by_gpu.get(idx, 0), used)
96
+ util_values.append(util)
97
+ if util > 0:
98
+ nonzero += 1
99
+ nonzero_counts.append(nonzero)
100
+ peak_total = max(peak_total, total)
101
+ return {
102
+ "peak_total_memory_used_mib": peak_total,
103
+ "peak_single_gpu_memory_used_mib": peak_single,
104
+ "peak_by_gpu_mib": peak_by_gpu,
105
+ "mean_gpu_utilization_percent": round(sum(util_values) / len(util_values), 3)
106
+ if util_values
107
+ else None,
108
+ "mean_nonzero_gpu_count": round(sum(nonzero_counts) / len(nonzero_counts), 3)
109
+ if nonzero_counts
110
+ else None,
111
+ }
112
+
113
+
114
+ def detect_oom(log_file: Path) -> bool:
115
+ if not log_file.exists():
116
+ return False
117
+ text = log_file.read_text(encoding="utf-8", errors="ignore")
118
+ return any(marker in text for marker in OOM_MARKERS)
119
+
120
+
121
+ def build_command(args: argparse.Namespace, manifest: dict, case: dict, output_file: Path) -> list[str]:
122
+ return [
123
+ "torchrun",
124
+ "--nproc_per_node",
125
+ str(args.nproc_per_node),
126
+ "--master_port",
127
+ str(args.master_port),
128
+ "generate_fast.py",
129
+ "--task",
130
+ "i2v-A14B",
131
+ "--size",
132
+ manifest["size"],
133
+ "--ckpt_dir",
134
+ args.ckpt_dir,
135
+ "--image",
136
+ manifest["image"],
137
+ "--action_path",
138
+ manifest["action_path"],
139
+ "--dit_fsdp",
140
+ "--t5_fsdp",
141
+ "--ulysses_size",
142
+ str(args.nproc_per_node),
143
+ "--frame_num",
144
+ str(manifest["frame_num"]),
145
+ "--base_seed",
146
+ str(manifest["seed"]),
147
+ "--save_file",
148
+ str(output_file),
149
+ "--prompt",
150
+ manifest["prompt_en"],
151
+ "--chunk_size",
152
+ str(case["chunk_size"]),
153
+ ]
154
+
155
+
156
+ def write_summary_csv(path: Path, rows: list[dict]) -> None:
157
+ if not rows:
158
+ return
159
+ path.parent.mkdir(parents=True, exist_ok=True)
160
+ fieldnames = list(rows[0].keys())
161
+ with path.open("w", encoding="utf-8", newline="") as handle:
162
+ writer = csv.DictWriter(handle, fieldnames=fieldnames)
163
+ writer.writeheader()
164
+ writer.writerows(rows)
165
+
166
+
167
+ def main() -> int:
168
+ parser = argparse.ArgumentParser()
169
+ parser.add_argument("--manifest", type=Path, default=Path("experiments/fast_chunk_ablation_20260528/manifest.json"))
170
+ parser.add_argument("--case-index", type=int, default=None)
171
+ parser.add_argument("--case-id", default=None)
172
+ parser.add_argument("--ckpt-dir", default="models/lingbot-world-base-cam")
173
+ parser.add_argument("--output-root", type=Path, default=Path("experiments/fast_chunk_ablation_20260528/outputs"))
174
+ parser.add_argument("--metrics-dir", type=Path, default=Path("experiments/fast_chunk_ablation_20260528/metrics"))
175
+ parser.add_argument("--log-dir", type=Path, default=Path("experiments/fast_chunk_ablation_20260528/logs"))
176
+ parser.add_argument("--nproc-per-node", type=int, default=4)
177
+ parser.add_argument("--master-port", type=int, default=None)
178
+ parser.add_argument("--monitor-interval", type=float, default=1.0)
179
+ parser.add_argument("--resume", action="store_true", default=False)
180
+ args = parser.parse_args()
181
+
182
+ if args.master_port is None:
183
+ job_id = int(os.environ.get("SLURM_JOB_ID", os.getpid()))
184
+ task_id = int(os.environ.get("SLURM_ARRAY_TASK_ID", "0"))
185
+ args.master_port = 17000 + ((job_id * 97 + task_id * 7919 + os.getpid()) % 45000)
186
+
187
+ manifest = load_manifest(args.manifest)
188
+ cases = manifest["cases"]
189
+ if args.case_index is not None:
190
+ case = cases[args.case_index]
191
+ else:
192
+ matches = [item for item in cases if item["case_id"] == args.case_id]
193
+ if len(matches) != 1:
194
+ raise SystemExit(f"Expected one matching case, found {len(matches)}")
195
+ case = matches[0]
196
+
197
+ output_dir = args.output_root / f"chunk_size_{case['chunk_size']:02d}"
198
+ output_dir.mkdir(parents=True, exist_ok=True)
199
+ args.metrics_dir.mkdir(parents=True, exist_ok=True)
200
+ args.log_dir.mkdir(parents=True, exist_ok=True)
201
+ output_file = output_dir / f"fast_chunk_ablation_{case['case_id']}.mp4"
202
+ metrics_file = args.metrics_dir / f"{case['case_id']}.json"
203
+ log_file = args.log_dir / f"{case['case_id']}.log"
204
+
205
+ if args.resume and metrics_file.exists() and output_file.exists():
206
+ old = json.loads(metrics_file.read_text(encoding="utf-8"))
207
+ if old.get("status") == "ok" and old.get("output_exists"):
208
+ print(f"Case already completed: {output_file}")
209
+ return 0
210
+
211
+ cmd = build_command(args, manifest, case, output_file)
212
+ env = os.environ.copy()
213
+ env.setdefault("PYTHONUNBUFFERED", "1")
214
+ env.setdefault("TOKENIZERS_PARALLELISM", "false")
215
+ env.setdefault("NCCL_DEBUG", "WARN")
216
+
217
+ samples: list[dict] = []
218
+ stop_event = threading.Event()
219
+ monitor = threading.Thread(
220
+ target=monitor_gpu,
221
+ args=(stop_event, samples, args.monitor_interval),
222
+ daemon=True,
223
+ )
224
+
225
+ start = time.time()
226
+ monitor.start()
227
+ with log_file.open("w", encoding="utf-8") as log:
228
+ log.write("Command: " + " ".join(shlex.quote(part) for part in cmd) + "\n")
229
+ log.flush()
230
+ proc = subprocess.run(
231
+ cmd,
232
+ cwd=Path.cwd(),
233
+ env=env,
234
+ stdout=log,
235
+ stderr=subprocess.STDOUT,
236
+ text=True,
237
+ )
238
+ stop_event.set()
239
+ monitor.join(timeout=5)
240
+ end = time.time()
241
+
242
+ output_exists = output_file.exists()
243
+ status = "ok" if proc.returncode == 0 and output_exists else "failed"
244
+ if status == "failed" and detect_oom(log_file):
245
+ status = "oom"
246
+ summary = {
247
+ "case_id": case["case_id"],
248
+ "chunk_size": case["chunk_size"],
249
+ "chunk_frame_span": case["chunk_frame_span"],
250
+ "chunk_seconds": case["chunk_seconds"],
251
+ "frame_num": manifest["frame_num"],
252
+ "fps": manifest["fps"],
253
+ "effective_duration_seconds": manifest["effective_duration_seconds"],
254
+ "seed": manifest["seed"],
255
+ "status": status,
256
+ "returncode": proc.returncode,
257
+ "wall_time_seconds": round(end - start, 3),
258
+ "output_file": str(output_file),
259
+ "output_exists": output_exists,
260
+ "output_size_bytes": output_file.stat().st_size if output_exists else 0,
261
+ "log_file": str(log_file),
262
+ "metrics_file": str(metrics_file),
263
+ "nproc_per_node": args.nproc_per_node,
264
+ }
265
+ metrics = {
266
+ "case": case,
267
+ "manifest_settings": {
268
+ key: manifest[key]
269
+ for key in [
270
+ "image",
271
+ "action_path",
272
+ "prompt_en",
273
+ "prompt_zh",
274
+ "fps",
275
+ "frame_num",
276
+ "effective_duration_seconds",
277
+ "seed",
278
+ "size",
279
+ ]
280
+ },
281
+ "command": cmd,
282
+ "status": status,
283
+ "returncode": proc.returncode,
284
+ "start_time_unix": start,
285
+ "end_time_unix": end,
286
+ "wall_time_seconds": end - start,
287
+ "output_file": str(output_file),
288
+ "output_exists": output_exists,
289
+ "output_size_bytes": output_file.stat().st_size if output_exists else 0,
290
+ "summary": summary,
291
+ "gpu": summarize_gpu(samples),
292
+ "gpu_sample_count": len(samples),
293
+ }
294
+ metrics_file.write_text(json.dumps(metrics, indent=2, ensure_ascii=False) + "\n", encoding="utf-8")
295
+
296
+ rows = []
297
+ for path in sorted(args.metrics_dir.glob("*.json")):
298
+ try:
299
+ data = json.loads(path.read_text(encoding="utf-8"))
300
+ except Exception:
301
+ continue
302
+ row = dict(data.get("summary", {}))
303
+ gpu = data.get("gpu", {})
304
+ row["peak_single_gpu_memory_used_mib"] = gpu.get("peak_single_gpu_memory_used_mib")
305
+ row["peak_total_memory_used_mib"] = gpu.get("peak_total_memory_used_mib")
306
+ row["mean_gpu_utilization_percent"] = gpu.get("mean_gpu_utilization_percent")
307
+ row["mean_nonzero_gpu_count"] = gpu.get("mean_nonzero_gpu_count")
308
+ rows.append(row)
309
+ write_summary_csv(args.manifest.parent / "run_manifest.csv", rows)
310
+
311
+ if status != "ok":
312
+ print(f"Case {status}; see {log_file}", file=sys.stderr)
313
+ return proc.returncode if proc.returncode != 0 else 1
314
+ print(f"Case completed: {output_file}")
315
+ return 0
316
+
317
+
318
+ if __name__ == "__main__":
319
+ raise SystemExit(main())
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/run_manifest.csv ADDED
@@ -0,0 +1,7 @@
 
 
 
 
 
 
 
 
1
+ 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
2
+ example05_chunk01_seed6200,1,4,0.25,141,16,8.8125,6200,ok,0,822.604,42025,142300,9.234,0.399,experiments/fast_chunk_ablation_20260528/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4,12860969,4
3
+ example05_chunk02_seed6200,2,8,0.5,141,16,8.8125,6200,ok,0,808.982,42021,141858,7.697,0.356,experiments/fast_chunk_ablation_20260528/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4,12947094,4
4
+ example05_chunk03_seed6200,3,12,0.75,141,16,8.8125,6200,ok,0,164.363,41973,143526,37.346,1.702,experiments/fast_chunk_ablation_20260528/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200.mp4,14589858,4
5
+ example05_chunk04_seed6200,4,16,1.0,141,16,8.8125,6200,ok,0,795.557,42039,144140,7.076,0.323,experiments/fast_chunk_ablation_20260528/outputs/chunk_size_04/fast_chunk_ablation_example05_chunk04_seed6200.mp4,15530802,4
6
+ example05_chunk06_seed6200,6,24,1.5,141,16,8.8125,6200,ok,0,159.64,42059,145216,36.496,1.562,experiments/fast_chunk_ablation_20260528/outputs/chunk_size_06/fast_chunk_ablation_example05_chunk06_seed6200.mp4,12875361,4
7
+ example05_chunk12_seed6200,12,48,3.0,141,16,8.8125,6200,ok,0,178.042,42627,151852,31.639,1.405,experiments/fast_chunk_ablation_20260528/outputs/chunk_size_12/fast_chunk_ablation_example05_chunk12_seed6200.mp4,13578543,4
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/run_manifest.json ADDED
@@ -0,0 +1,140 @@
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
 
1
+ [
2
+ {
3
+ "case_id": "example05_chunk01_seed6200",
4
+ "chunk_size": 1,
5
+ "chunk_frame_span": 4,
6
+ "chunk_seconds": 0.25,
7
+ "frame_num": 141,
8
+ "fps": 16,
9
+ "effective_duration_seconds": 8.8125,
10
+ "seed": 6200,
11
+ "status": "ok",
12
+ "returncode": 0,
13
+ "wall_time_seconds": 822.604,
14
+ "output_file": "experiments/fast_chunk_ablation_20260528/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4",
15
+ "output_exists": true,
16
+ "output_size_bytes": 12860969,
17
+ "log_file": "experiments/fast_chunk_ablation_20260528/logs/example05_chunk01_seed6200.log",
18
+ "metrics_file": "experiments/fast_chunk_ablation_20260528/metrics/example05_chunk01_seed6200.json",
19
+ "nproc_per_node": 4,
20
+ "peak_single_gpu_memory_used_mib": 42025,
21
+ "peak_total_memory_used_mib": 142300,
22
+ "mean_gpu_utilization_percent": 9.234,
23
+ "mean_nonzero_gpu_count": 0.399
24
+ },
25
+ {
26
+ "case_id": "example05_chunk02_seed6200",
27
+ "chunk_size": 2,
28
+ "chunk_frame_span": 8,
29
+ "chunk_seconds": 0.5,
30
+ "frame_num": 141,
31
+ "fps": 16,
32
+ "effective_duration_seconds": 8.8125,
33
+ "seed": 6200,
34
+ "status": "ok",
35
+ "returncode": 0,
36
+ "wall_time_seconds": 808.982,
37
+ "output_file": "experiments/fast_chunk_ablation_20260528/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4",
38
+ "output_exists": true,
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fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_0.err ADDED
File without changes
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_0.out ADDED
@@ -0,0 +1 @@
 
 
1
+ Case completed: experiments/fast_chunk_ablation_20260528/outputs/chunk_size_01/fast_chunk_ablation_example05_chunk01_seed6200.mp4
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_1.err ADDED
File without changes
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_1.out ADDED
@@ -0,0 +1 @@
 
 
1
+ Case completed: experiments/fast_chunk_ablation_20260528/outputs/chunk_size_02/fast_chunk_ablation_example05_chunk02_seed6200.mp4
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_2.err ADDED
File without changes
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_2.out ADDED
@@ -0,0 +1 @@
 
 
1
+ Case completed: experiments/fast_chunk_ablation_20260528/outputs/chunk_size_03/fast_chunk_ablation_example05_chunk03_seed6200.mp4
fast-inference/chunk-size-ablation/2026-05-28_same_prompt/20260528_230433/slurm/nvr_elm_llm:fast-chunk-ablation_9936290_3.err ADDED
@@ -0,0 +1 @@
 
 
1
+ Case failed; see experiments/fast_chunk_ablation_20260528/logs/example05_chunk04_seed6200.log