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| title: Stable Fast 3D | |
| emoji: 🎨 | |
| colorFrom: blue | |
| colorTo: purple | |
| sdk: gradio | |
| sdk_version: 3.50.2 | |
| app_file: app.py | |
| pinned: false | |
| license: mit | |
| # Stable Fast 3D | |
| A powerful tool for converting 2D images to 3D models using Stable Diffusion and advanced 3D reconstruction techniques. | |
| ## Features | |
| - Convert 2D images to 3D models | |
| - Text-guided 3D generation | |
| - High-quality texture mapping | |
| - UV unwrapping | |
| - Export to GLB format | |
| ## Usage | |
| 1. Upload an image | |
| 2. Enter a prompt describing the 3D model you want to generate | |
| 3. Click "Generate 3D Model" | |
| 4. Wait for the processing to complete | |
| 5. Download the generated 3D model | |
| ## Technical Details | |
| This Space uses: | |
| - Stable Diffusion for image-to-3D conversion | |
| - Advanced texture baking techniques | |
| - UV unwrapping for optimal texture mapping | |
| - CPU-only inference for compatibility | |
| ## Requirements | |
| All dependencies are listed in `requirements.txt`. The main requirements are: | |
| - PyTorch | |
| - Transformers | |
| - Gradio | |
| - Pillow | |
| - NumPy | |
| ## License | |
| This project is licensed under the MIT License - see the LICENSE file for details. | |