https://github.com/ajay-dhangar/ai-photo-restorer
Restoring old photos using AI for everyone. ⚛️
https://github.com/ajay-dhangar/ai-photo-restorer
Last synced: about 1 month ago
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Restoring old photos using AI for everyone. ⚛️
- Host: GitHub
- URL: https://github.com/ajay-dhangar/ai-photo-restorer
- Owner: ajay-dhangar
- Created: 2023-01-11T19:11:58.000Z (almost 3 years ago)
- Default Branch: main
- Last Pushed: 2024-02-14T01:21:53.000Z (over 1 year ago)
- Last Synced: 2025-08-28T23:46:10.273Z (about 2 months ago)
- Language: TypeScript
- Homepage: https://ai-photo-restorer-w3kt-ajay-dhangar.vercel.app/
- Size: 3.78 MB
- Stars: 7
- Watchers: 1
- Forks: 0
- Open Issues: 1
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Metadata Files:
- Readme: README.md
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README
# [ai-photo-restorer-w3kt](https://ai-photo-restorer-w3kt-ajay-dhangar.vercel.app/)
This project restores old face photos using AI. Watch the [15 second demo](https://twitter.com/AJAYDHA27250016/status/1613259716133801985?s=20&t=EsqhrOPbag8OXhNysfJ0bg).
## How it works
It uses an ML model from the Applied Research Center called [GFPGAN](https://github.com/TencentARC/GFPGAN) on [Replicate](https://replicate.com/) to restore face photos. This application gives you the ability to upload any photo, which will send it through this ML Model using a Next.js API route, and return your restored photo.
## Running Locally
After cloning the repo, go to [Replicate](https://replicate.com/) to make an account and put your API key in a file called `.env`. If you'd also like to do rate limiting, create an account on UpStash, create a Redis database, and populate the two environment variables in `.env` as well. If you don't want to do rate limiting, you don't need to make any changes.
Then, run the application in the command line and it will be available at `http://localhost:3000`.
```bash
npm run dev
```
## One-Click Deploy
Deploy the example using [Vercel](https://vercel.com?utm_source=github&utm_medium=readme&utm_campaign=vercel-examples):
[](https://vercel.com/new/clone?repository-url=https://github.com/Nutlope/restorePhotos&env=REPLICATE_API_KEY&project-name=face-photo-restorer&repo-name=restore-photos)
## Future Tasks
- [ ] Add upload.io API key
- [ ] Fix issue on iphones rotating photos
- [ ] Implement a dynamic share page
- [ ] Create a hash and store it in redis along with links to the old and new photos
- [ ] With this new hash, create a new sharable dynamic page that has the photos side by side
- [ ] Use Vercel OG to dynamically generate an OG card that contains the old and new pics side by side
- [ ] Add toggle to be able to restore both face photos or just old blurry photos using swinr model
- [ ] Improve the generation of the photo to extend beyond faces; maybe run it through a general model before
- [ ] Add a carousel of good examples to the index page