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README.md

@@ -5,5 +5,40 @@ license_name: tencent-hunyuan-community
 license_link: LICENSE
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-<!-- ## **FastHunyuan** -->
+<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: 
+