Riffusion is an app for real-time music generation with stable diffusion.

Read about it at https://www.riffusion.com/about and try it at https://www.riffusion.com/.

• Web app: https://github.com/hmartiro/riffusion-app
• Inference server: https://github.com/hmartiro/riffusion-inference
• Model checkpoint: https://huggingface.co/riffusion/riffusion-model-v1
• Google Colab notebook:
• Gradio Web Demo:

This repository contains the interactive web app that powers the website.

It is built with Next.js, React, Typescript, three.js, Tailwind, and Vercel.

This is a Next.js project bootstrapped with create-next-app.

First, make sure you have Node v18 or greater installed using node --version.

Install packages:

npm install

Run the development server:

npm run dev
# or
yarn dev

Open http://localhost:3000 with your browser to see the app.

The app home is at pages/index.js. The page auto-updates as you edit the file. The about page is at pages/about.tsx.

The pages/api directory is mapped to /api/*. Files in this directory are treated as API routes instead of React pages.

To actually generate model outputs, we need a model backend that responds to inference requests via API. If you have a large GPU that can run stable diffusion in under five seconds, clone and run the instructions in the inference server to run the Flask app.

You will need to add a .env.local file in the root of this repository specifying the URL of the inference server:

RIFFUSION_FLASK_URL=http://127.0.0.1:3013/run_inference/

If you build on this work, please cite it as follows:

@article{Forsgren_Martiros_2022,
  author = {Forsgren, Seth* and Martiros, Hayk*},
  title = {{Riffusion - Stable diffusion for real-time music generation}},
  url = {https://riffusion.com/about},
  year = {2022}
}