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hao-ai-lab-FastVideo/scripts/preprocess/v1_preprocess_wan_data_i2v.yaml
Davids048andClaude Opus 5.5 d051603677 [refactor]: run preprocessing on a PreprocessRunConfig
- v1_preprocess.py and v1_preprocessing_new.py load a PreprocessRunConfig
  from --config <yaml> plus dotted overrides; their argparse flags are
  gone. The preprocessing pipelines, workflows, datasets, and stages read
  resolved_config.preprocess.* and typed paths instead of
  preprocess_config and an argparse namespace.
- The overfit preprocessors build resolved configs instead of FastVideoArgs.
- Each preprocessing launcher has a YAML file next to it with the values
  its flags held; shell variables stay as dotted overrides. Against the
  3f6893a0 snapshots of the 17 launchers, every value and PipelineConfig
  matches, except mode (preprocess instead of inference), ltx2_vae_tiling,
  and text_only's vae_config.load_encoder. Five launchers that the old
  parser rejected now carry their intended values; the never-defined
  --model_type and --validation_dataset_file flags are dropped.

Co-Authored-By: Claude Opus 5.5 <noreply@anthropic.com>
Claude-Session: https://claude.ai/code/session_012M91wnVFmPEvJ9h39r5BH7
2026-10-03 06:24:03 +00:00

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YAML

# Read by v1_preprocess_wan_data_i2v.sh, which passes model_path, preprocess.data_merge_path, and
# preprocess.dataset_output_dir.
# Offload settings of the per-task preprocessing pipelines (v1_preprocess.py).
engine:
offload:
dit_layerwise: true
image_encoder: true
pin_cpu_memory: true
preprocess:
preprocess_video_batch_size: 8
max_height: 480
max_width: 832
num_frames: 77
dataloader_num_workers: 0
train_fps: 16
samples_per_file: 8
flush_frequency: 8
preprocess_task: i2v