Музыка с ИИ
demixr-app
Mobile app that splits songs into stems with on-device deep learning.
★ 92 звездыMIT
Смотреть руководство →demucs-mlx — проект с открытым исходным кодом из категории «Музыка с ИИ» от ssmall256 (ssmall256/demucs-mlx на GitHub). У него 42 звезды на GitHub и 4 форка, он распространяется по лицензии MIT и последний раз обновлялся на GitHub 2 октября 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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Соседние проекты из категории «Музыка с ИИ» в каталоге, ближайшие по числу звёзд к demucs-mlx — продолжайте изучать полку по обе стороны от него.
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Бесплатно и открыто — забирайте исходный код, ставьте звезду репозиторию и начинайте создавать.