| pipeline_tag: text-to-video | |
| license: other | |
| license_name: tencent-hunyuan-community | |
| license_link: LICENSE | |
| <p align="center"> | |
| <img src="assets/logo.jpg" height=100> | |
| </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**. | |
| ## 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: | |