AI Music
YuE
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
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10.8k starsApache-2.0
View guide βOne-click AIGC pipeline: image, video, music, and prompts in a single flow.
ai-video-workflow is an open-source ai music project by toki-plus (toki-plus/ai-video-workflow on GitHub). It has 106 GitHub stars and 25 forks, is released under the MIT license, and was last updated on GitHub on 8 August 2026.
Give a style prompt, lyrics, or reference audio to steer the generation.
The model composes melody, arrangement, and sometimes vocals.
Regenerate sections, separate stems, or adjust the arrangement.
Download the finished track for sharing, video, or release.
Turns a written prompt into a full musical idea.
Steers genre, mood, and instrumentation with tags or references.
Splits tracks into vocals, drums, bass, and more for remixing.
Many tools run open music models on your own hardware.
Gets compositions as editable MIDI, not just flat audio.
Exports audio and MIDI that drop straight into your workflow.
Download the source and move into the project folder.
git clone https://github.com/toki-plus/ai-video-workflow.git
cd ai-video-workflowEvery project documents its own setup; start with install requirements.
cat README.md | head -60Follow the projectβs launch command β Docker, pip, npm, or a binary release.
# see README for the exact launch commandOften yes, but it depends on the model license and your local rules on AI-generated works β verify before releasing.
MIT licensed β you can use it commercially with attribution.
Local generation is much faster with a GPU; some tools also offer cloud APIs as an alternative.
Most tools export standard WAV or MP3. Check the README for sample rates and stem options.
Last pushed 2026-08-08 with 25 forks. Recent commits are the best signal of momentum.
YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.
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