codal-core VS riffusion

If you're into the embedded/edu/stem/steam space at all, the micro:bit v2 codebase for audio is being integrated more widely this year, and expanding our audio processing components might be a fun, bounded project if you want something smaller, but reasonably high impact?

See https://github.com/lancaster-university/codal-microbit-v2 for the ecosystem, or https://github.com/lancaster-university/codal-core/tree/mast... for the relevant section of the API.

If you're interested, prod me on Github (JohnVidler)

Why don’t you try Riffusion? https://github.com/riffusion/riffusion The general idea is convert your audio waveform into an image (spectrogram).

riffusion - uses stable diffusion to generate spectrograms as images and converts them into audio. There's an online demo you can try. Not sure how easy it is to make full length songs as each image generated is about 5 seconds of audio. The demo sort of does it.

Stable diffusion for real-time music generation:

https://github.com/riffusion/riffusion

https://github.com/riffusion/riffusion-app

I'm using the (Vanilla?) Riffusion + App https://github.com/riffusion/riffusion https://github.com/riffusion/riffusion-app

Riffusion: https://github.com/riffusion/riffusion

There's a riffusion app you can run locally.

Well, if you've got Stable Diffusion running, you should be able to run Riffusion.