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Download README.md from luizC/motion_inference: direct link, hf CLI and curl.
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https://huggingface.co/spaces/luizC/motion_inference/resolve/main/README.md
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hf download hf://spaces/luizC/motion_inference/README.md
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1.18 kB
A newer version of the Gradio SDK is available: 6.32.0
metadata
title: Motion Diffusion Model
emoji: 🕺
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
✅ Text-to-motion generation
✅ Action-to-motion generation
✅ Multiple model support
✅ 3D animation visualization
✅ Blender export (OBJ, SMPL parameters)
✅ 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
- Select a model type
- Enter text prompt or action name
- Adjust parameters
- Generate animation
- 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