FastHunyuan Model Card

Model Details

FastHunyuan is an accelerated 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
License: tencent-hunyuan-community
Distilled from: HunyuanVideo
Github Repository: https://github.com/hao-ai-lab/FastVideo

Usage

Clone Fastvideo repository and follow the inference instructions in the README.
Alternatively, you can inference FastHunyuan using the official Hunyuan Video repository 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 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