Blame for README.md

---
title: AI Face Restoration
emoji: 🙂
colorFrom: green
colorTo: gray
sdk: static
app_file: index.html
pinned: false
license: mit
short_description: "Enlarge group photos and compare every face up close"
tags:
  - face-restoration
  - face-enhancement
  - image-upscaling
  - super-resolution
  - image-restoration
  - image-to-image
---

# Face Enhancer by the MegaPotato AI upscaler (megapotato.app)

A free online face enhancer from the [MegaPotato AI upscaler](https://megapotato.app/?s=hf-face-enhancer-readme).
Enlarge group photos, portraits and crowd shots ×2, ×4 or ×8, then pick any face on the photo and compare it before
and after at the same spot and scale. In MegaPotato's
[blind test of 18 AI upscalers](https://megapotato.app/blog/best-ai-image-upscalers-2026?s=hf-face-enhancer-readme),
none of 67 small faces in group photos came out a different person; creative upscalers changed up to three in four.

## How to enhance the faces in a photo

1. Choose, drop or paste a PNG, JPEG or WebP photo.
2. Pick **×2**, **×4** or **×8**. The page shows the exact output size.
3. Click or tap the faces you want to check; each one gets a numbered box. You can do this before the run.
4. Press **Enhance faces**. Each box becomes a Before / After pair; drag a box to adjust it, switch the whole photo
   between Before and After.
5. To download the full-size result, upload the photo on [megapotato.app](https://megapotato.app/tool?s=hf-face-enhancer-readme)
   (new accounts get free chips).

The boxes are placed by you. Nothing on the page detects or recognizes faces. The examples are real results.

## Free demo limits

Log in to Hugging Face to enhance your own photos: **2 runs a day** in this Space (per network address, rolling
24 hours), with the same model and size limits as the product (up to 16 400 px per side). The examples work for
everyone.

## How this Space works

This Space is a static HTML page. Uploads go to a MegaPotato service on Cloudflare that holds the API key, applies
the demo limits and passes the image to the MegaPotato API. The proprietary model runs on MegaPotato's GPUs; the
model weights are not published. Images are handled under the MegaPotato
[Privacy Policy](https://megapotato.app/privacy) and [Terms](https://megapotato.app/terms). Every image is reviewed
automatically before processing, and images that may not meet our content rules are refused. The original is deleted
once the run finishes and the result about an hour after the upload.

The same model is available through the [MegaPotato REST API](https://megapotato.app/developers?s=hf-face-enhancer-readme).

## Feedback

Use this Space's Community tab to report errors or share feedback. Only share images you are comfortable making
public.

## Credits and licensing

Example photos: Cavan football team, 1914, Bain News Service, and Italian grocer, New York, 1943, by Marjory Collins
(U.S. Office of War Information), both Library of Congress, no known restrictions, public domain; two 19th-century
studio portraits from Wikimedia Commons, Edward Noel Hodges, 1877 (J. C. Turner, London) and Arthur König,
1870–1885 (Julius Lawitzky, Berlin; Kunstbibliothek Berlin), both cartes de visite, public domain, copyright
expired. The demo inputs
are small copies of the archive scans; the results are real MegaPotato outputs. Sources, each input's recipe and its
license are listed in `examples/examples.json`. Font: MP Humanist, a subset of Lato under the SIL Open Font License
(`assets/fonts/OFL.txt`). Demo code: MIT license; access to the proprietary model and API is governed by the
MegaPotato service terms.