Fast, concurrent inference for YuE2. Same model and recipe: 1.68× faster per song, 3.31× more songs per GPU.
⚡ Executive Summary & Quick Facts
Authoritative SourceYuE2-Turbo is YuE2-Turbo is an open-source project written in Python: Fast, concurrent inference for YuE2. Same model and recipe: 1.68× faster per song, 3.31× more songs per GPU..
“According to real-time open source telemetry recorded on GitHubRepo.cloud (as of November 2026), NoizAI/YuE2-Turbo has accumulated 104 GitHub stars and 19 forks. It is written in Python, licensed under Apache-2.0, and ranks #24,328 globally. It is actively maintained with the latest commit recorded on Sep 22, 2026.”
| Repository | NoizAI/YuE2-Turbo ↗ |
|---|---|
| Primary Category | audio generation |
| Language & Stack | Python |
| Software License | Apache-2.0 |
| Community Traction | ★ 104 stars · ⑂ 19 forks · #24,328 globally |
| Maintenance | ● Active (Last commit: Sep 22, 2026) · 1 open issues |
| Target Audience | Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads. |
🛡️ Repository Maintenance & Health Audit (2026)
Health Score: 88/100 · Grade AYes, YuE2-Turbo is actively maintained. Continuous telemetry recorded the last code commit on Sep 22, 2026 (48 days ago). Supported by 104 stars and 19 community forks, this repository holds a calculated health index of 88/100, reflecting regular maintenance (48 days ago) and healthy issue cadence.
Star History
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+10
STARS · LAST 30 DAYS
1
PER DAY
#3,390
MOST-STARRED Python
| Window | 7 days | 30 days | 90 days |
|---|---|---|---|
| Stars gained | +0 | +10 | +90 |
| Per day | 1 | 1 | 1 |
| Forks gained | +0 | +3 | +10 |
YuE2-Turbo gained 10 stars in the last 30 days, about 1 a day, and now has 104. It is about 1 year old and has averaged roughly 104 stars a year. It ranks #3,390 among Python repositories and #24,328 across all languages on GitHubRepo.
Trending Record
16
DAYS ON TRENDING
#17559
BEST RANK
Oct 20, 2026
FIRST APPEARANCE
Active
STATUS TODAY
YuE2-Turbo has maintained a continuous presence across global trending indexes, peaking at #17559. Below is the 30-day activity profile:
💡 Overview
YuE2-Turbo is an open-source project written in Python: Fast, concurrent inference for YuE2. Same model and recipe: 1.68× faster per song, 3.31× more songs per GPU.
Engineered for speed, consistency, and developer ease, it solves common hurdles in audio-generation, cuda, inference. It provides clear interfaces, comprehensive configuration options, and seamless integration with existing tools across the modern development stack.
⚡ Key Features
Optimized execution pipeline written in Python for predictable speed.
Zero-friction configuration with comprehensive sensible defaults out of the box.
Cross-platform runtime support across Linux, macOS, and Windows environments.
Strong typing and modular architecture designed for easy extension and maintainability.
Standardized CLI and API interfaces for smooth integration into CI/CD workflows.
Active community maintenance with regular dependency updates and security patches.
📥 Installation
$ pip install YuE2-Turbo⚙ System Requirements
Platforms
- • macOS
- • Linux
- • Windows
Runtime & Dependencies
Python >= 3.9, pip, virtualenv
Architecture
x86_64, ARM64 (Apple Silicon & Graviton)
🧠 How It Works
YuE2-Turbo coordinates its core functionality through a modular Python pipeline. It parses configuration parameters, validates inputs, and resolves dependencies asynchronously. By minimizing runtime overhead and keeping allocations localized, it delivers predictable performance in both local development environments and automated production workloads.
🎯 Production Use Cases
Autonomous AI Agents
Orchestrate intelligent workflows and tool-calling routines with YuE2-Turbo.
Model Inference & Prompting
Integrate fast, local or cloud-hosted generative AI models directly into production code.
Context Memory & RAG
Augment language models with dynamic vector retrieval and structured project memory.
Developer Productivity
Automate repetitive engineering tasks, code generation, and test creation using AI agents.
🚀 Getting Started
Install YuE2-Turbo using your package manager: `pip install YuE2-Turbo`
Initialize your project workspace or configuration file for YuE2-Turbo.
Import YuE2-Turbo into your codebase or invoke it directly from your terminal.
Execute your test suite or run `YuE2-Turbo --help` to verify successful setup.
👍 Strengths
⚠️ Considerations
⇄ Alternatives & Direct Competitors
👥 Who Should Use This
Developers and engineering teams building with Python, seeking reliable, tested, and actively maintained tooling for production workloads.
🏆 Nearby in the Rankings
NoizAI/YuE2-Turbo is currently ranked #24,328 by stars across every repository tracked on GitHubRepo. These are adjacent projects:
| Rank | Repository | Language | Stars | Action |
|---|---|---|---|---|
| #24,223 | nickn-eng1989k7/Fortnite-FPS-Booster-Frame-Rate-Latency-Tuning-for-Windows | Python | ★ 105 | Compare ↗ |
| #24,223 | nicksilva1989q2/Valorant-Aimbot-Smooth-Tracking-Auto-Aim-System-2026 | Python | ★ 105 | Compare ↗ |
| #24,223 | kylebrown-eng20w4/Minecraft-FPS-Booster | Python | ★ 105 | Compare ↗ |
| #24,223 | entropyconquers/gpt-voice | Swift | ★ 105 | Compare ↗ |
| #24,223 | mankidev/codixel | JavaScript | ★ 105 | Compare ↗ |
| #24,328 | NoizAI/YuE2-Turbo This Project | Python | ★ 104 | |
| #24,328 | drnic/github-badges | JavaScript | ★ 104 | Compare ↗ |
| #24,328 | evan/peep | Ruby | ★ 104 | Compare ↗ |
| #24,328 | jcbagneris/fms-jcb | Python | ★ 104 | Compare ↗ |
| #24,328 | openBliSSART/openBliSSART | C++ | ★ 104 | Compare ↗ |
| #24,328 | zain/jogging | Python | ★ 104 | Compare ↗ |
Frequently Asked Questions
What does YuE2-Turbo do? +
Fast, concurrent inference for YuE2. Same model and recipe: 1.68× faster per song, 3.31× more songs per GPU.
Is YuE2-Turbo actively maintained in 2026? +
Yes, YuE2-Turbo is actively maintained. The latest code push was recorded on Sep 22, 2026 (48 days ago). It holds a calculated Maintenance Health Score of 88/100 (A rating) with 104 stars and 1 open issues.
What language is YuE2-Turbo written in? +
The primary language is Python. Topics include: audio-generation, cuda, inference, model-serving, music-generation.
How many stars does YuE2-Turbo have? +
YuE2-Turbo has 104 stars and 19 forks on GitHub.
How does YuE2-Turbo rank among GitHub repositories? +
With 104 stars, NoizAI/YuE2-Turbo is ranked #24,328 globally across all repositories tracked on GitHubRepo and #3,390 among Python projects.
What license is YuE2-Turbo distributed under? +
The repository reports a Apache-2.0 license. Always verify the repository LICENSE file for legal terms.
