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---
pipeline_tag: text-to-video
license: other
license_name: tencent-hunyuan-community
license_link: LICENSE
---
<p align="center">
<img src="assets/logo.jpg" height=30>
</p>
# FastHunyuan Model Card
## Model Details
FastHunyuan is an accelerated [HunyuanVideo](https://huggingface.co/tencent/HunyuanVideo) model. It can sample high quality videos with 6 diffusion steps. That brings around 8X speed up compared to the original HunyuanVideo with 50 steps.
- **Developed by**: [Hao AI Lab](https://hao-ai-lab.github.io/)
- **License**: tencent-hunyuan-community
- **Distilled from**: [HunyuanVideo](https://huggingface.co/tencent/HunyuanVideo)
- **Github Repository**: https://github.com/hao-ai-lab/FastVideo
## Usage
- Clone [Fastvideo](https://github.com/hao-ai-lab/FastVideo) repository and follow the inference instructions in the README.
- Alternatively, you can inference FastHunyuan using the official [Hunyuan Video repository](https://github.com/Tencent/HunyuanVideo) by **setting the shift to 17 and steps to 6, resolution to 720X1280X125, and cfg bigger than 6**.
We find that a large CFG scale generally leads to faster videos.
## Training details
FastHunyuan is consistency distillated on the [MixKit](https://huggingface.co/datasets/LanguageBind/Open-Sora-Plan-v1.1.0/tree/main) dataset with the following hyperparamters:
- Batch size: 16
- Resulotion: 720x1280
- Num of frames: 125
- Train steps: 320
- GPUs: 32
- LR: 1e-6
- Loss: huber
## Evaluation
We provide some qualitative comparison between FastHunyuan 6 step inference v.s. the original Hunyuan with 6 step inference:
| FastHunyuan 6 step | Hunyuan 6 step |
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