KI-Musik
moseca
Separate vocals and instruments in the browser with Demucs.
★ 397 SterneMIT
Anleitung ansehen →pymss-studio ist ein Open-Source-Projekt aus der Kategorie KI-Musik von pymss-project (pymss-project/pymss-studio auf GitHub). Es hat 518 Sterne auf GitHub und 31 Forks, wird unter der Lizenz AGPL-3.0 veröffentlicht und wurde zuletzt am 29. September 2026 auf GitHub aktualisiert.
A cross-platform desktop GUI for music source separation.
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.
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.
Generate music without cloud APIs.
Download the source and move into the project folder.
git clone https://github.com/pymss-project/pymss-studio.git
cd pymss-studioPull in the Node packages the project needs.
npm installStart the dev server and open the printed URL.
npm run devIt is an open-source project at pymss-project/pymss-studio with 31 forks. Check the repo’s contributors and recent commits to judge how active maintenance is.
Yes for most uses, but it is AGPL-3.0 (copyleft): if you distribute modified versions, you must share your source changes too.
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.
A Python inference package for music source separation models.
Friendly front-end for local AI music models, packed with quality-of-life touches.
Run splifft locally: lightweight utilities for music source separation and t.
Die anderen Projekte der Kategorie KI-Musik mit den meisten Sternen im LibreAI-Katalog — die realistische Auswahl, falls pymss-studio 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 pymss-studio bei den Sternen am nächsten stehen — zum Weiterstöbern auf beiden Seiten.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.