AI音楽
moises-light
A resource-efficient music source separation model in PyTorch.
★ 36 スターMIT
ガイドを見る →mosecaは、fabiogra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: fabiogra/moseca）。GitHubスターは397、フォークは57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2月28日です。
Separate vocals and instruments in the browser with Demucs.
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.
A browser-based interface built with Streamlit.
Compose and edit with MIDI workflows.
Faithful ports of published models.
Tweak models and pipelines freely.
Splits songs into vocals, drums, bass, and more.
Describe a track and get audio back.
Download the source and move into the project folder.
git clone https://github.com/fabiogra/moseca.git
cd mosecaCreate a virtual environment and install the requirements.
python3 -m venv .venv && source .venv/bin/activate
pip install -r requirements.txtStart the app or CLI and follow the README examples.
python main.py --helpIt is an open-source project at fabiogra/moseca with 57 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.
A resource-efficient music source separation model in PyTorch.
Loss functions for training audio source separation models.
A cross-platform desktop GUI for music source separation.
Separate music tracks into stems in a web app.
Split songs into stems on Apple Silicon with MLX-powered Demucs.
DiffRhythm — blazingly fast, embarrassingly simple full-length song generation with latent diffusion: complete songs with vocals from lyrics and a style prompt, Apache-2.0
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 — moseca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.
🎵 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
カタログの中でmoseca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。
Local AI song generator with an editable score — YuE2 on your GPU: full songs with vocals, sheet music, covers, exact replay. Native Windows app, no Python, …
Portable AI music generator — full songs with vocals, covers, music videos. One-click install, 100% offline, NVIDIA GPU.
Run the ACE-Step 1.5 music generator locally in C++.
反中共政治宣传库。Anti Chinese government propaganda. https://github.com/cirosantilli/china-dictatorship 的备份backup. 住在中国真名用户的网友请别给星星，不然你要被警察请喝茶。常见问答集，新闻集和饭店和音乐建议。习万岁…
ComfyUI Custom Node for HeartMuLa AI Music Generation and Transcript Text
Turn any song into playable piano sheet music. Paste a YouTube link or upload audio — get a PDF score. Open-source pipeline: Basic Pitch transcription, two-h…