multimodal-art-projection/YuE

YuE2: frontier music generation with symbolic planning, zero-shot covers, and agentic music editing.

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multimodal-art-projection/YuE has 12k+ stars and 1k+ forks on GitHub, is written in Python, and was last pushed on Oct 6, 2026. Data as of . Signed-in members get hourly updates — create a free account.

Summary Information

Updated 11 minutes ago
Added to GitGenius on September 10th, 2026
Created on January 23rd, 2025
Open Issues & Pull Requests: 81 (+0)
GitHub issues: Enabled
Number of forks: 1,379
Total Stargazers: 12,008 (+2)
Total Subscribers: 105 (+0)

Repository Insights (GitGenius)

Median issue/PR response: 17.7 hours
Mean response time: 75.9 days
90th percentile: 411.5 days
Tracked items: 151

How this project is maintained

Roughly one issue in three opened in the past year never receives a reply. 100% of open issues come from outside the core team, so the backlog reflects real-world use rather than internal planning. Only 37% of issues opened in the past year have been closed. Three people close 88% of everything that gets resolved.

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Issue Activity (beta)

Open issues: 28
New in 7 days: 3
Closed in 7 days: 0
Avg open age: 21 days
Stale 30+ days: 5
Stale 90+ days: 0

Recent activity

Opened in 7 days: 2
Closed in 7 days: 0
Comments in 7 days: 0
Events in 7 days: 0

Top labels

  • enhancement (24)
  • help wanted (3)
  • documentation (2)
  • good first issue (2)
  • bug (1)
  • question (1)

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Detailed Description

YuE2 is a music generation system that unifies symbolic and audio generation to produce complete songs from text prompts.

The tool addresses the challenge of generating high-quality music while maintaining human control over composition. It works by accepting lyrics and style descriptions, then generating an explicit melody-and-chord plan in symbolic form before rendering that plan as a full song with vocals and accompaniment. This two-stage approach makes the composition editable and interpretable at the symbolic level before audio synthesis occurs.

Developers should adopt this tool if they need music generation with white-box control over melodic and harmonic content. It suits projects requiring either original composition from text prompts or style transfer of existing songs. The system supports zero-shot cover generation, where a transcribed song can be reimagined in a new style using the same checkpoint. It also enables agentic music editing, where an agent can iteratively refine a composition through conversation about its score, arrangement, and lyrics. The tool is positioned as competitive with proprietary systems on its evaluation benchmark.

The project maintains active development with regular updates to its codebase and model releases on Hugging Face. Documentation includes detailed benchmarking methodology and architectural explanations. The team provides multiple demonstration modes showing creation, cover generation, and agentic editing workflows, with specific examples like a nine-step transformation of a song from Mandarin pop to English jazz. Community engagement occurs through an active Discord channel for users and contributors.