AI音楽
moseca
Separate vocals and instruments in the browser with Demucs.
★ 397 スターMIT
ガイドを見る →minimaxmusic.cppは、ServeurpersoComが公開しているオープンソースのAI音楽プロジェクトです（GitHub: ServeurpersoCom/minimaxmusic.cpp）。GitHubスターは35、フォークは10で、MITライセンスの下で公開されています。GitHubでの最終更新は2026年9月28日です。
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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Dial-driven local music generator — GGML-powered bangers, now with more C++.
LibreAIカタログに掲載されたAI音楽プロジェクトの中で最もスターの多いもの — minimaxmusic.cppが合わなかった場合に検討したい、現実的な候補リストです。
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
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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
カタログの中でminimaxmusic.cppとスター数が近いAI音楽プロジェクト — 前後の棚もそのまま見て回れます。
A resource-efficient music source separation model in PyTorch.
Agent skill that turns text descriptions into real MIDI compositions.
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A desktop karaoke app that transforms your local music library into sing-along tracks
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