YuE2

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Open-weight song generator that plans an editable score before rendering audio

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YuE2

What it is

YuE2 is an open-weight music generation model released by the Multimodal Art Projection (m-a-p) community in September 2026. Given lyrics and a style description, it first drafts a symbolic composition with melody, chords, key, tempo and song form, then renders that plan as 48 kHz stereo audio. Because the score is exposed, users can edit notes or structure and regenerate, and the same checkpoint supports zero-shot covers and agent-driven music edits. The 3B parameter model can run on a single 24 GB GPU according to its model card. Weights and code are free on Hugging Face and GitHub under a non-commercial license.

Key features

Lyrics to full song generation
Editable symbolic score stage
Zero-shot cover generation
Runs on a single 24 GB GPU

What we liked

+ Free open weights
+ Score editing gives real control
+ Strong self-reported benchmark results

Worth noting

· Non-commercial license limits use
· Requires a capable GPU and setup

Editor's notes

More context from AI BirdView

Most AI song generators hand you finished audio and little else. YuE2 takes a more musician friendly route by writing a symbolic score first and only then producing sound, so you can see and change the melody, chords and structure before rendering. That two stage design is what makes it stand out among open models, and the developers report benchmark scores that compare well with commercial services, though those results are their own.

Full song output from lyrics and a style prompt, with vocals and accompaniment in stereo
An editable intermediate score covering melody, harmony, key, meter, tempo and form
Zero-shot cover generation and editing of existing pieces with the same checkpoint
A 3B parameter size that fits on a single high end consumer GPU
Open code and weights, plus a public listening arena for blind comparisons

YuE2 is best for researchers, hobbyist producers and developers who want to experiment with music generation locally and value control over the composition. A practical tip: download the weights only from the official m-a-p Hugging Face page rather than mirrors, and review the CC-BY-NC license before using any output in paid or published projects.