WaveForcing-1.3B

Inference weights of the WaveForcing 1.3B text-to-video model, as native-Wan model.safetensors. Two variants: 5step/ (5 denoising steps) and 4step/ (4 denoising steps).

Text encoder, tokenizer and VAE are not included; load them from Wan2.1-T2V-1.3B.

Download

hf download SJTU-DENG-Lab/WaveForcing-1.3B --local-dir ckpts/WaveForcing-1.3B

Run (WaveRT)

5-step:

python -m wave_rt \
  --model-path ckpts/Wan2.1-T2V-1.3B-Diffusers \
  --gen-ckpt ckpts/WaveForcing-1.3B/5step/model.safetensors \
  --rf-step 5 --wp-size 6 \
  --denoising-step-list 1000,800,600,400,200 \
  --vae-stages 2 --vae-partition time \
  --kv-context causal --exchange-mode paged \
  --attention-backend torch_sdpa

4-step: point --gen-ckpt to 4step/model.safetensors and use --rf-step 4 --wp-size 5 --denoising-step-list 1000,750,500,250 --vae-stages 3.

Code: SJTU-DENG-Lab/WaveForcing

Project Page: Wave Forcing

Paper: 2611.00859