DIS

这里我还没想好起什么名字，大概其就是DIS的体验网站(互联网+项目) This project ...

How it works

It uses a DIS model called BiRefNet on Replicate to segment images with high accuracy. 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

Cloning the repository the local machine.

git clone

Creating a account on Replicate to get an API key.

1. Go to Replicate to make an account.
2. Click on your profile picture in the top right corner, and click on "Dashboard".
3. Click on "Account" in the navbar. And, here you can find your API token, copy it.

Storing API key in .env file.

Create a file in root directory of project with env. And store your API key in it, as shown in the .example.env file.

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.

Installing the dependencies.

npm install

Running the application.

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:

Powered by

This example is powered by the following 3 services:

• Replicate (AI API)
• Upload (storage)
• Vercel (hosting, serverless functions, analytics)
• RestorePhotos.io(style template)