Música con IA
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Separate vocals and instruments in the browser with Demucs.
★ 397 estrellasMIT
Ver la guía →minimaxmusic.cpp es un proyecto de música con IA de código abierto de ServeurpersoCom (ServeurpersoCom/minimaxmusic.cpp en GitHub). Tiene 35 estrellas en GitHub y 10 bifurcaciones, se publica bajo la licencia MIT y se actualizó por última vez en GitHub el 28 de septiembre de 2026.
Run the MiniMax Music 3 generator locally in C++.
Decide what you want the project to do before installing anything.
Grab the source and skim the README for setup requirements.
Install dependencies and add any API keys or settings it needs.
Launch it and follow the example workflow from the docs.
Tweak models and pipelines freely.
Splits songs into vocals, drums, bass, and more.
Describe a track and get audio back.
Generate music without cloud APIs.
Studio-grade sample rates and formats.
Runs on CPU, CUDA, ROCm, Metal, or Vulkan.
Download the source and move into the project folder.
git clone https://github.com/ServeurpersoCom/minimaxmusic.cpp.git
cd minimaxmusic.cppGenerate the build files and compile with CMake.
cmake -B build -DCMAKE_BUILD_TYPE=Release && cmake --build buildLaunch the compiled binary and check its help output.
./build/app --helpIt is an open-source project at ServeurpersoCom/minimaxmusic.cpp with 10 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
Yes. It is MIT licensed, so you can use it commercially with attribution.
Typically 44.1–48kHz stereo — good enough for demos and remixes.
Separation and generation run much faster on GPU, but CPU works for short tracks.
Check the model's license — the code license and model weights may differ.
Separate vocals and instruments in the browser with Demucs.
A resource-efficient music source separation model in PyTorch.
Loss functions for training audio source separation models.
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Run the ACE-Step 1.5 music generator locally in C++.
Dial-driven local music generator — GGML-powered bangers, now with more C++.
Los demás proyectos de Música con IA con más estrellas del catálogo de LibreAI: la lista realista de alternativas si minimaxmusic.cpp no es lo que buscas.
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
🎵 The Ultimate Open Source Suno Alternative - Professional UI for ACE-Step 1.5 AI Music Generation. Free, local, unlimited. Stop paying for Suno!
ACE-Step — the open foundation model for music generation: full songs with vocals and lyrics in 19 languages, up to 4 minutes in about 20 seconds, Apache-2.0
Official DiffSinger code: diffusion-based singing voice synthesis and text-to-speech (AAAI 2022)
Stable Audio Tools — training and inference code for Stability's audio generation models, including Stable Audio Open, MIT
Proyectos de Música con IA cercanos en el catálogo, los más próximos en estrellas a minimaxmusic.cpp: sigue explorando a ambos lados.
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Agent skill that turns text descriptions into real MIDI compositions.
Self-hosted ai music: ai audio engineering system: mcp server + claude code s.
A desktop karaoke app that transforms your local music library into sing-along tracks
Split songs into stems on Apple Silicon with MLX-powered Demucs.
Run the YuE2 music generator locally in C++.
Gratis y abierto: consigue el código fuente, dale una estrella al repositorio y empieza a crear.