riffusion/riffusion-hobby

Health v2 · maintenance only

Adoption not part of the score

3900 stars · 479 forks observed · 2026-08-28

What it is AI-extracted, prompt v1, taxonomy v1, 2026-08-29, confidence not recorded

Riffusion is a Python library for real-time music and audio generation using stable diffusion, converting between spectrogram images and audio clips with prompt interpolation. It includes a CLI, a Streamlit interactive app, and a Flask inference server.

Use cases

• generate music from text prompts with stable diffusion
• convert spectrogram images to audio clips
• run real-time audio generation on a GPU
• serve a diffusion model inference API
• experiment with prompt interpolation for audio

When to choose

• you want to generate music or audio from text prompts locally
• you need spectrogram-to-audio conversion utilities in Python
• you have a CUDA GPU capable of running stable diffusion
• you want to build on or study a diffusion-based audio pipeline

When to avoid

• you need an actively maintained project - it is no longer maintained
• you only have a CPU and need real-time generation
• you want a hosted or production-ready music service
• you need non-WAV audio without installing ffmpeg

Facets

library · maturity abandoned

machine-learning audio-processing image-processing cli http-server artificial-intelligence machine-learning deep-learning media python cross-platform cli stable-diffusion music-generation spectrogram diffusion-models text-to-audio generative-ai streamlit flask audio gpu

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markdown · JSON · MCP: product_card(name="riffusion/riffusion-hobby")