KI-Musik
moseca
Separate vocals and instruments in the browser with Demucs.
★ 397 SterneMIT
Anleitung ansehen →moises-light ist ein Open-Source-Projekt aus der Kategorie KI-Musik von crlandsc (crlandsc/moises-light auf GitHub). Es hat 36 Sterne auf GitHub und 1 Forks, wird unter der Lizenz MIT veröffentlicht und wurde zuletzt am 1. Mai 2026 auf GitHub aktualisiert.
A resource-efficient music source separation model in PyTorch.
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.
Splits tracks into isolated stems.
Compose and edit with MIDI workflows.
Faithful ports of published models.
Tweak models and pipelines freely.
Describe a track and get audio back.
Generate music without cloud APIs.
Download the source and move into the project folder.
git clone https://github.com/crlandsc/moises-light.git
cd moises-lightCreate 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 crlandsc/moises-light with 1 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.
Loss functions for training audio source separation models.
A cross-platform desktop GUI for music source separation.
Real-time, low-latency music source separation in PyTorch.
Run splifft locally: lightweight utilities for music source separation and t.
A Python inference package for music source separation models.
Die anderen Projekte der Kategorie KI-Musik mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls moises-light 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 moises-light bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
Self-hosted ai music: ai audio engineering system: mcp server + claude code s.
Run the MiniMax Music 3 generator locally in C++.
Split songs into stems on Apple Silicon with MLX-powered Demucs.
Agent skill that turns text descriptions into real MIDI compositions.
Open source AI-driven SaaS that generates original music.
A desktop karaoke app that transforms your local music library into sing-along tracks
Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.