| --- |
| 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> |
|
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| # FastHunyuan Model Card |
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| ## Model Details |
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| 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. |
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|
| - **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 |
|
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| ## Usage |
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| - 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, steps to 6, resolution to 720X1280X125**. |
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| ## Training details |
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| 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: |
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| | FastHunyuan 6 step | Hunyuan 6 step | |
| | --- | --- | |
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