Image
stable-diffusion-videos
Create 🔥 videos with Stable Diffusion by exploring the latent space and morphing between text prompts
★ 4.7k starsApache-2.0
View guide →Strip background music from YouTube videos with AI audio separation
youtube-music-remover is an open-source image project by Ignema (Ignema/youtube-music-remover on GitHub). It has 73 GitHub stars and 2 forks, is released under the MIT license, and was last updated on GitHub on 15 April 2026.
Follow the README and notebook instructions.
Point it at a YouTube video or local file.
AI splits music from vocals and dialogue.
Save the music-free track.
Machine-learning vocal/music splitting.
Works from video links.
Keep dialogue, drop the music.
Jupyter notebooks for tweaking.
Inspectable, hackable code.
Free for commercial use with attribution.
Download the source and move into the project folder.
git clone https://github.com/Ignema/youtube-music-remover.git
cd youtube-music-removerEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the project's launch command — Docker, pip, npm, or a binary release.
# see README for the exact launch commandIt is an open-source project at Ignema/youtube-music-remover with 162 forks. Check the repo's contributors and recent commits to see how active maintenance is.
MIT licensed — commercial use allowed with attribution.
AI separation is strong on clear mixes — dense audio is harder.
Separation models run much faster with one.
Only for content you own or have rights to — respect copyright.
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