AI Music
moises-light
A resource-efficient music source separation model in PyTorch.
★ 36 starsMIT
View guide →Separate vocals and instruments in the browser with Demucs.
moseca is an open-source ai music project by fabiogra (fabiogra/moseca on GitHub). It has 397 GitHub stars and 57 forks, is released under the MIT license, and was last updated on GitHub on 28 February 2026.
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.
Split songs into stems on Apple Silicon with MLX-powered Demucs.
Separate music tracks into stems in a web app.
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
The most-starred other AI Music projects in the LibreAI catalogue — the realistic shortlist if moseca is not the right fit.
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)
Use API to call the music generation AI of suno.ai, and easily integrate it into agents like GPTs.
Free and open — grab the source, star the repo, and start creating.