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This project restores old face photos using AI. Watch the 15 second demo.

Face Photo Restorer

How it works

It uses an ML model from the Applied Research Center called GFPGAN on Replicate 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 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.

npm run dev

One-Click Deploy

Deploy the example using Vercel:

Deploy with Vercel

Future Tasks

  • 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

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Restoring old and blurry face photos with AI.

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