hao-ai-lab-FastVideo/examples/distill/SFWan2.1-T2V

Self-Forcing Distillation for SFWan2.1 T2V 1.3B

These scripts demonstrate self-forcing distillation (SFwan) for the causal Wan2.1 T2V 1.3B model. The workflow mirrors DMD2 while injecting self-forcing blocks so the student can autoregressively refine later frames.

Run the recipe

1. Download the preprocessed text-video dataset:

   bash examples/datasets/crush-smol/download_dataset.sh
   

2. (Optional) Regenerate parquet shards locally:

   bash examples/distill/SFWan2.1-T2V/preprocess_data.sh
   

3. Launch self-forcing distillation with your cluster settings:

   sbatch examples/distill/SFWan2.1-T2V/distill_dmd_t2v_1.3B.sh
   

Update the dataset paths and wandb credentials inside the script before running on your environment.