KI-Musik
moseca
Separate vocals and instruments in the browser with Demucs.
★ 397 SterneMIT
Anleitung ansehen →minimaxmusic.cpp ist ein Open-Source-Projekt aus der Kategorie KI-Musik von ServeurpersoCom (ServeurpersoCom/minimaxmusic.cpp auf GitHub). Es hat 35 Sterne auf GitHub und 10 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 28. September 2026 auf GitHub aktualisiert.
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.
Run the YuE2 music generator locally in C++.
Run the ACE-Step 1.5 music generator locally in C++.
Dial-driven local music generator — GGML-powered bangers, now with more C++.
Die anderen Projekte der Kategorie KI-Musik mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls minimaxmusic.cpp nicht das Richtige ist.
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
Verwandte Projekte der Kategorie KI-Musik im Katalog, die minimaxmusic.cpp bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
A resource-efficient music source separation model in PyTorch.
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++.
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.