KI-Musik
AIEV
Automatic AI video editing.
★ 126 SterneMIT
Anleitung ansehen →MSST-WebUI ist ein Open-Source-Projekt aus der Kategorie KI-Musik von SUC-DriverOld (SUC-DriverOld/MSST-WebUI auf GitHub). Es hat 1.266 Sterne auf GitHub und 86 Forks, wird unter der Lizenz AGPL-3.0 veröffentlicht und wurde zuletzt am 16. September 2026 auf GitHub aktualisiert.
A WebUI app for Music-Source-Separation-Training and we bundled UVR together!
Clone SUC-DriverOld/MSST-WebUI and move into the project folder.
Install the Python requirements with pip — a virtual environment keeps things clean.
Gather the tracks or stems you want to process.
Start the job and listen to the result.
Focused on msst as a core part of the project.
Music-centered features.
Python codebase — easy to read, fork, and extend.
AGPL-3.0 licensed — copyleft, including network use.
Public repo — issues and pull requests are welcome.
Fork it and make it your own.
Download the source and move into the project folder.
git clone https://github.com/SUC-DriverOld/MSST-WebUI.git
cd MSST-WebUISet up what the project needs to run.
pip install -r requirements.txtStart the app — the README has the exact command and flags.
python main.py # entrypoint varies — check the READMEAGPL-3.0 licensed — copyleft, including network use.
Clone the repo and pip-install the requirements — the README covers the exact steps.
The GitHub repo's issues and discussions are the main support channel.
Last pushed 2026-09-16 with 86 forks. Skim recent commits to gauge momentum before relying on it.
Yes — it is open source, so issues and pull requests are welcome.
Automatic AI video editing.
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Kostenlos und offen — hol dir den Quellcode, gib dem Repository einen Stern und leg los.