yue2-v0.1.6
MinishLab/sembleyue2-v0.1.6Sep 9, 2026by a43992899
Upgrading?
AI Summary
This release delivers frontier song quality and editable symbolic planning to the YuE2 repository, enabling song creation from lyrics and zero-shot covers from transcribed melodies. It introduces agent composition for revising compositions and updates packaging, licensing, and CLI availability.
Key Highlights
- Frontier song quality with editable symbolic plans
- Create songs from lyrics or zero-shot covers from transcribed melodies
- Agent composition support for revising compositions
- Compatible with Python 3.12 and includes downloadable artifacts
- Includes a demo page and model weights on Hugging Face
New Features
- Song generation from lyrics
- Zero-shot covers from transcribed melodies
- Agent composition for composition revision
- Python 3.12 compatibility
- Public packaging and licensing updates
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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