---
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:

```text
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)`.