FE2E-CPU / README.md
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fixes: cudagc guard, rm conditioner.py, turbo depth colormap, proper normal viz, compact UI, example
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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