---
license: apache-2.0
tags:
  - video-generation
  - streaming
  - WaveForcing
  - 1.3B
---

# 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](https://huggingface.co/Wan-AI/Wan2.1-T2V-1.3B-Diffusers).

## Download

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

## Run (WaveRT)

5-step:

```bash
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](https://github.com/SJTU-DENG-Lab/WaveForcing)