Música con IA
demixr-app
Mobile app that splits songs into stems with on-device deep learning.
★ 92 estrellasMIT
Ver la guía →demucs-mlx es un proyecto de música con IA de código abierto de ssmall256 (ssmall256/demucs-mlx en GitHub). Tiene 42 estrellas en GitHub y 4 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 2 de octubre de 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.
Let AI assistants edit audio in Audacity via 144 MCP tools.
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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Proyectos de Música con IA cercanos en el catálogo, los más próximos en estrellas a demucs-mlx: sigue explorando a ambos lados.
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Loss functions for training audio source separation models.
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Run the MiniMax Music 3 generator locally in C++.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.