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| title: Motion Diffusion Model | |
| emoji: πΊ | |
| colorFrom: purple | |
| colorTo: blue | |
| sdk: gradio | |
| sdk_version: 6.3.0 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # Motion Diffusion Model on Hugging Face | |
| Official implementation of "Human Motion Diffusion Model" by Guy Tevet et al. | |
| ## Features | |
| β Text-to-motion generation | |
| β Action-to-motion generation | |
| β Multiple model support | |
| β 3D animation visualization | |
| β Blender export (OBJ, SMPL parameters) | |
| β Fast 50-step models (20x speed) | |
| ## Models Available | |
| * **HumanML3D (50-steps)** - Fast text-to-motion | |
| * **HumanML3D (Original)** - Higher quality | |
| * **KIT-ML** - Text-to-motion | |
| * **HumanAct12** - Action-to-motion | |
| * **UESTC** - Action-to-motion | |
| * **Unconstrained** - Free generation | |
| ## Usage | |
| 1. Select a model type | |
| 2. Enter text prompt or action name | |
| 3. Adjust parameters | |
| 4. Generate animation | |
| 5. Export to Blender if needed | |
| ## Blender Integration | |
| Exported files can be used with: | |
| * **SMPL add-on** (use JSON parameters) | |
| * **OBJ sequence import** (direct mesh) | |
| * **FBX format** (via conversion) | |
| ## Notes | |
| - First run downloads models (~2GB) | |
| - GPU required for optimal performance | |
| - Generation takes 10-30 seconds |