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Code and Checkpoint Usage

Code Snapshot

The code archive contains two trees:

  • TwoFrame: experiment orchestration, evaluation, data-engine scripts, and local project code.
  • FastVideo: the training stack used for this Wan2.2 fine-tune.

FastVideo matters for this run. The training log references FastVideo modules such as fastvideo_args.py, training_pipeline.py, and training_utils.py. The relevant dirty FastVideo changes are recorded in:

  • metadata/FastVideo.git_status.txt
  • metadata/FastVideo.uncommitted.diff
  • metadata/FastVideo.untracked_files.txt

TwoFrame status is recorded similarly in metadata/TwoFrame.*.

Environment

The UCSF environment used during training was:

source ~/.twoframe_env.sh
conda activate /scratch/user/yuhwang/envs/twoframe
export PYTHONPATH=/scratch/user/yuhwang/code/FastVideo:/scratch/user/yuhwang/code/TwoFrame:$PYTHONPATH

~/.twoframe_env.sh points caches and temporary directories to scratch.

Checkpoints

Use the EMA checkpoint for inference-style evaluation unless you explicitly want non-EMA weights:

  • EMA: checkpoints/ema_checkpoint-8000/diffusion_pytorch_model.safetensors
  • non-EMA: checkpoints/checkpoint-8000/transformer/diffusion_pytorch_model.safetensors

Use the distributed checkpoint only if resuming training:

  • checkpoints/checkpoint-8000/distributed_checkpoint/

Base Model

The run loaded base model components from:

/scratch/user/yuhwang/model/Wan2.2-TI2V-5B-Diffusers-merged

That directory is symlink-composed. Its symlink map is recorded in metadata/base_model_symlinks.txt. The base model binaries are not duplicated in this package; this package contains the fine-tuned transformer checkpoint and reproducibility assets.

Training Command Reconstruction

The exact shell launcher was not preserved in the final run directory. The effective training configuration is captured from the log in metadata/train_args.json. Use that file as the source of truth for reconstructing a resume or reproduction launch.

The original output directory was:

/scratch/user/yuhwang/artifacts/twoframe/pants_wan22_finetune/pants_b16_9k_20260519_215532