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AI Photo Restorer

An AI Face Photo Restorer built on Next.js and Replicate.

Framework
Use Case
Publisher Hassan El Mghari

RestorePhotos.io

This project restores old face photos using AI. Watch the 4 minute explainer video to see how I built this or see the 15 second demo.

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:

AI Photo Restorer

An AI Face Photo Restorer built on Next.js and Replicate.

Framework
Use Case
Publisher Hassan El Mghari

RestorePhotos.io

This project restores old face photos using AI. Watch the 4 minute explainer video to see how I built this or see the 15 second demo.

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:

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