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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metadata
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 (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