Demo-diferent_decade.mov
It uses an SDXL model called stability-ai/sdxl trained with images from the 80s decade and then, it uses a faceswap to give you a photo of yourself dressed like in the 80s. This application gives you the ability to upload a photo of you, which will send it through this ML Model using a Next.js API route, and generated your image. The ML Model is hosted on Replicate and Bytescale is used for image storage.
git clone (https://github.com/angela-goncalves/diferent_decade.git)
- Go to Replicate to make an account.
- Click on your profile picture in the top left corner, and click on "API Tokens".
- Here you can find your API token. Copy it.
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.
npm install
Then, run the application in the command line and it will be available at http://localhost:3000
.
npm run dev
Deploy the example using Vercel:
This repo is MIT licensed.