# riffusion/riffusion-app-hobby

Stable diffusion for real-time music generation (web app)

Repository: https://github.com/riffusion/riffusion-app-hobby
Canonical: https://ross.abutalabs.com/products/riffusion-app-hobby
Homepage: https://riffusion.vercel.app
Language: TypeScript
License: MIT
License Family: permissive
Topics: ai, audio, diffusion, music, nextjs, stable-diffusion, threejs
Last push: 2024-07-22T18:01:37+00:00

## Health v2 (maintenance only)
Score: 32/100 (v2, computed 2026-09-03T02:20:16.233290+00:00)
- activity 0, release rhythm 35, longevity 98
- inputs: {"age_days": 1382, "days_push": 772, "days_rel": null, "gap_med": null, "n_releases_24m": 0}
- flags: no_releases
- formula: round(0.45*activity + 0.35*rhythm + 0.20*longevity); archived -> min(score, 10)

## Adoption (not part of the score)
Stars 2677, forks 216 (observed 2026-08-28T04:07:09.874154+00:00)

## What it is
Riffusion App is a Next.js web application for real-time music generation using stable diffusion, relying on a separate GPU-powered inference server for model outputs. The project is no longer actively maintained.

## Use cases
- generate music in real time with stable diffusion
- build a web interface for audio diffusion models
- experiment with spectrogram-based music generation
- self-host a music generation web app
- demo AI music generation in the browser

## When to avoid
- you need an actively maintained project with support and updates
- you want music generation without setting up a separate GPU inference server
- you need production-grade audio generation tooling

## Facets
- artifact type: application
- maturity: abandoned
- function: machine-learning, audio-processing, stable-diffusion
- domain: artificial-intelligence, machine-learning, web-development
- platform: -
- tags: music-generation, nextjs, threejs, stable-diffusion, real-time, unmaintained, audio, web-server, nodejs, gpu

## Member repositories
- riffusion/riffusion-app-hobby (main) score 32

## Provenance
- Observed fields: from GitHub, fetched 2026-08-28T04:07:09.874154+00:00.
- Health v2: computed from the inputs above; adoption is never an input.
- Inferred fields (summary, facets, guidance): AI-extracted, prompt v1, taxonomy v1, on 2026-08-30T02:18:00.906930+00:00, confidence not recorded.
  - readme: https://github.com/riffusion/riffusion-app-hobby (fetched 2026-08-28T04:07:09.874154+00:00, sha 5ad47bb87c1f)
  - homepage: https://riffusion.vercel.app (fetched 2026-08-29T10:00:42.424329+00:00, sha a99f8cbfc80c)
- Data as of 2026-08-30T08:39:29.467469+00:00.