yue2-v0.1.6
affaan-m/ECCyue2-v0.1.6Sep 9, 2026by a43992899
Upgrading?
AI Summary
YuE2 v0.1.6 introduces frontier music generation capabilities with editable symbolic plans, allowing users to create songs from lyrics and generate zero-shot covers from transcribed melodies. This release focuses on packaging updates, licensing adjustments, and CLI availability while ensuring generation stability.
Key Highlights
- Frontier song quality generation with editable symbolic plans
- Create songs from lyrics and zero-shot covers from transcribed melodies
- Agent-based composition revision capabilities
- Updated packaging, licensing (CC BY-NC 4.0), and CLI availability
- Verified with 172 passing installed-wheel tests
New Features
- Song generation from lyrics
- Zero-shot cover generation from transcribed melodies
- Agent-based composition revision
- Editable symbolic plans
Full Release Notes
YuE2 brings frontier song quality and editable symbolic plans to the YuE repository. Create songs from lyrics, make zero-shot covers from a transcribed melody, and work with an agent to revise a composition. - Install the Python wheel below, or clone the repository and run `pip install .` with Python 3.12. - Download `yue2-music.zip` to install the portable agent skill. - Download `yue2_infer-0.1.6.tar.gz` for the source distribution. `SHA256SUMS` covers all three artifacts. - Model weights are available under [m-a-p on Hugging Face](https://huggingface.co/m-a-p/YuE2-3B). - Hear songs, covers and the editing process on the [demo page](https://map-yue2.github.io/). - The original model, code and documentation remain on [YuE-v1](https://github.com/multimodal-art-projection/YuE/tree/YuE-v1). First-party YuE2 code, skill and weights: **CC BY-NC 4.0**. Third-party components and the YuE-v1 archive retain their original licenses. Validated with 172 passing installed-wheel tests, 11 skipped, and fresh GPU generation/cover/editing runs. A fixed generation matches public 0.1.5 exactly; this patch updates public packaging, licensing and CLI availability. Default listening uses YuE2-Vae; the recorded benchmarks use YuE2-Vae-legacy.
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