roomGPT.io

This project generates designs of your room with AI.

How it works

It uses an ML model called ControlNet to generate variations of rooms. This application gives you the ability to upload a photo of any room, which will send it through this ML Model using a Next.js API route, and return your generated room. The ML Model is hosted on Replicate and Upload is used for image storage.

Running Locally

Cloning the repository the local machine.

git clone https://github.com/Nutlope/roomGPT

Creating a account on Replicate to get an API key.

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

Storing the API keys in .env

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:

mapennell/vercel_testing2