Música con IA
demucs-mlx
Split songs into stems on Apple Silicon with MLX-powered Demucs.
★ 42 estrellasMIT
Ver la guía →demixr-app es un proyecto de música con IA de código abierto de demixr (demixr/demixr-app en GitHub). Tiene 92 estrellas en GitHub y 15 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 15 de julio de 2026.
Mobile app that splits songs into stems with on-device deep learning.
Download the source and enter the folder.
Pull the Dart dependencies for the app.
Plug in an Android phone or start an emulator.
Launch it on the device and load a track.
Separate songs on your phone, not a workstation.
One Dart codebase for Android builds.
PyTorch-based separation under the hood.
Standard stem outputs for practice and remixing.
Fork it for your own audio experiments.
Commercial-friendly terms.
Download the source and move into the project folder.
git clone https://github.com/demixr/demixr-app.git
cd demixr-appPull the Flutter dependencies.
flutter pub getLaunch the app on a connected Android device.
flutter runIt is an open-source project at demixr/demixr-app with 15 forks.
Yes. It is MIT licensed.
It is a Flutter app targeting Android mobile devices.
It is designed as a mobile app using deep learning models — check the README for model details.
Yes. Clone the repo and build with the Flutter toolchain.
Split songs into stems on Apple Silicon with MLX-powered Demucs.
Audio Editor
Let AI assistants edit audio in Audacity via 144 MCP tools.
Separate music tracks into stems in a web app.
Controllable AI cover songs and remixes from reference audio or MIDI.
ComfyUI nodes for multilingual AI songs with lyrics via HeartMuLa.
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Proyectos de Música con IA cercanos en el catálogo, los más próximos en estrellas a demixr-app: sigue explorando a ambos lados.
Let AI assistants edit audio in Audacity via 144 MCP tools.
Emotion-aware music recommender that reads text, speech, and faces.
Controllable AI cover songs and remixes from reference audio or MIDI.
AI-driven music production and post-production in REAPER via MCP.
One-click AIGC pipeline: image, video, music, and prompts in a single flow.
Friendly front-end for local AI music models, packed with quality-of-life touches.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.