InstantRetouch / README.md
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Deploy InstantRetouch IP2P-BILA ZeroGPU Space
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metadata
title: InstantRetouch
sdk: gradio
sdk_version: 4.44.1
python_version: '3.10'
app_file: app.py
pinned: false
license: other

InstantRetouch Demo

Paper: arxiv.org/abs/2606.05071

Public Hugging Face ZeroGPU demo for instruction-guided image retouching.

  • UI: image upload, optional instruction, seed, max side, strength, and selectable examples

Weight Repo Layout

Do not commit weights into this Space repo. Put them in a separate HF model repo:

ip2p/
  base/
    tokenizer/
    text_encoder/
    vae/
    unet/
  checkpoints/
    <bila-checkpoint>.pth
metrics/
  <metric-summary>.json

The app follows the validation-style direct flow: load the IP2P base model, load the BiLA checkpoint named in model_manifest.json, generate bila_output, then apply strength as input + strength * (bila_output - input).