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| title: FE2E Depth + Normal (CPU) | |
| emoji: 🗺️ | |
| colorFrom: blue | |
| colorTo: green | |
| sdk: gradio | |
| sdk_version: 6.14.0 | |
| app_file: app.py | |
| python_version: "3.11" | |
| pinned: false | |
| license: mit | |
| short_description: Depth + Normal estimation from a single image on CPU | |
| tags: | |
| - depth-estimation | |
| - normal-estimation | |
| - cpu | |
| - mcp-server | |
| # FE2E: Depth + Normal Estimation (CPU) | |
| Estimate depth and surface normals from a single image using [FE2E](https://github.com/AMAP-ML/FE2E) (CVPR 2026). | |
| - Model: Step1X-Edit DiT + LDRN LoRA, pre-quantized INT8 (12 GB) | |
| - Single denoise step (not iterative diffusion) | |
| - Outputs both depth AND normal maps simultaneously | |
| - Takes ~29 min for 768x1024 on free CPU Basic | |