Musique IA
demixr-app
Mobile app that splits songs into stems with on-device deep learning.
★ 92 étoilesMIT
Voir le guide →demucs-mlx est un projet de musique IA open source, créé par ssmall256 (ssmall256/demucs-mlx sur GitHub). Il compte 42 étoiles sur GitHub et 4 forks, il est publié sous la licence MIT et a été mis à jour pour la dernière fois sur GitHub le 2 octobre 2026.
Split songs into stems on Apple Silicon with MLX-powered Demucs.
Download the source and enter the folder.
Pull the Python and MLX packages.
Choose the song you want to split.
Run the separator and collect the outputs.
MLX-powered for M-series Macs.
Pull clean vocal stems from mixes.
Standard stem outputs for remixing.
Fast separation on Apple GPUs.
Proven source-separation quality.
Commercial-friendly terms.
Download the source and move into the project folder.
git clone https://github.com/ssmall256/demucs-mlx.git
cd demucs-mlxPull the Python packages it needs.
pip install -r requirements.txtSplit a song into stems.
python -m demucs_mlx track.mp3It is an open-source project at ssmall256/demucs-mlx with 4 forks.
Yes. It is MIT licensed.
It is built for Apple Silicon via MLX — that is the point of the port.
Vocals, drums, bass, and more depending on the model.
It ports Demucs to Apple’s MLX framework for native Mac performance.
Mobile app that splits songs into stems with on-device deep learning.
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Run stemgen-rt locally: stemgenrt is a real-time low-latency music source separ.
Separate music tracks into stems in a web app.
Controllable AI cover songs and remixes from reference audio or MIDI.
A working implementation of Band Split Roformer
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Gratuit et ouvert : récupérez le code source, mettez une étoile au dépôt et commencez à créer.