riffusion/riffusion-hobby
Stable diffusion for real-time music generation
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.
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3,883
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Language
Python
License
MIT
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Last pushed
Jul 22, 2024
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