riffusion/riffusion-hobby

Stable diffusion for real-time music generation

47
/ 100
Emerging

Generates audio from text prompts by converting between spectrogram images and audio waveforms, using a diffusion pipeline with prompt interpolation and image conditioning. Provides multiple interfaces including a CLI, Streamlit playground, and Flask API server for model inference. Supports CPU, CUDA, and Apple Silicon backends, with real-time generation requiring ~50 inference steps under five seconds on high-end GPUs like RTX 3090 or A10G.

3,883 stars. No commits in the last 6 months.

Stale 6m No Package No Dependents
Maintenance 0 / 25
Adoption 10 / 25
Maturity 16 / 25
Community 21 / 25

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Stars

3,883

Forks

472

Language

Python

License

MIT

Last pushed

Jul 22, 2024

Commits (30d)

0

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