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Running on Zero
Running on Zero
| title: HunyuanVideo Avatar Test | |
| emoji: 🎭 | |
| colorFrom: red | |
| colorTo: yellow | |
| sdk: gradio | |
| sdk_version: 5.49.1 | |
| app_file: app.py | |
| pytorch_version: 2.8.0 | |
| python_version: "3.10" | |
| pinned: false | |
| license: other | |
| suggested_hardware: zero-a10g | |
| short_description: Test cartoon avatars with HunyuanVideo-Avatar | |
| # HunyuanVideo-Avatar ZeroGPU Evaluation Space | |
| Evaluation app for the official | |
| [Tencent HunyuanVideo-Avatar](https://github.com/Tencent-Hunyuan/HunyuanVideo-Avatar) | |
| single-GPU inference path. | |
| ## Evaluation profile | |
| - One avatar image + one speech audio file + an English scene prompt | |
| - Official FP8 checkpoint | |
| - 704px inference profile | |
| - 49 / 73 / 97 / 129 frame test lengths at 25fps | |
| - 50 inference steps with DeepCache | |
| - CPU group offload | |
| - `@spaces.GPU(size="xlarge")` only on the generation function | |
| The upstream repository is approximately 80.8GB. This Space downloads only the | |
| required FP8 and inference assets (approximately 45GB) and excludes the full | |
| precision transformer plus duplicate TensorFlow, Flax, and PyTorch model files. | |
| The first request can take a long time because the weights are downloaded lazily. | |
| HunyuanVideo-Avatar is a very large model; the 49-frame mode is recommended for | |
| initial compatibility and visual-quality testing. | |
| Use only images and audio you have permission to process. Clearly disclose AI | |
| generated or altered media when publishing the result. | |