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YuE2: From Open-Source Release to Real-World Tests

M-A-P's open-source music model YuE2 launched with benchmark scores topping Suno v5/v6, quickly gained ComfyUI nodes and LoRA trainers, and passed real-world tests running on just 4.5GB VRAM.

2026-09-10 ~ 2026-09-16 · 4 episodes · 23 posts

Episode 1 · Open-source music model YuE2-3B launches with editable scores, claims Suno v5-level quality (2026-09-10, 12 posts)

M-A-P released YuE2-3B, an open-weight music generation model now trending on Hugging Face, with a live demo at map-yue2.github.io. Given lyrics and a style prompt, it generates complete songs up to 5 minutes with vocals and accompaniment at 48kHz stereo, runs locally on a 24GB GPU, and supports Chinese and English for creation, cover, and editing workflows. Early testers report impressive sound, though the non-commercial license limits commercial use.

Confirmed

  • The model is roughly 3B parameters (some sources cite 3.59B, 28 layers, AR/NAR expert architecture), with an accompanying arXiv paper and tags including music-generation and agentic-editing
  • Its "white-box" pipeline first produces an editable symbolic plan of melody and chords in ABC notation that users can inspect, play, and edit before rendering the final song
  • The team claims YuE2 (best-of-8) beats Suno v5 on WildSongBench; other accounts place it between Suno 4.5 and 5.5, surpassing Mureka v9 and MiniMax 3 on several benchmarks
  • Community reactions: @realmrfakename found the output excellent and comparable to Suno v5/v5.5 but was disappointed by the non-commercial license; @wzwowzw0002 asked about ComfyUI integration; @bdsqlsz questioned whether it truly beats Suno V5, awaiting community testing; @Acceptable-Cycle4645 called the demo quite good

Unconfirmed

  • Claims of matching or beating Suno v5/v5.5, Mureka v9, and MiniMax 3 come mainly from the developers and individual listeners; broader independent evaluation is still lacking

Why it matters

  • Editable scores make generation transparent and controllable, offering musicians a "plan first, render later" workflow unlike most end-to-end black-box models
  • Local 48kHz stereo full-song generation on a 24GB consumer GPU significantly narrows the gap between open-source and closed commercial systems like Suno
  • The non-commercial license remains its biggest limitation, leaving practical commercial prospects unclear

Episode 2 · Open-Source Music Model YuE2 Beats Suno v5/v6 on WildSongBench (2026-09-14, 4 posts)

M-A-P released YuE2, a 3B open-source music generation model that runs locally on a 24GB GPU and tops WildSongBench, beating closed models like Suno v5/v6 and marking a new milestone for open music AI.

Episode 3 · YuE2 Music Model Gets ComfyUI Nodes and LoRA Trainer (2026-09-15, 2 posts)

Community developers released ComfyUI-FL-YuE2, bringing the open-source YuE2 music generation model into ComfyUI with lyrics-to-song support and in-workflow LoRA training based on an RVQ Adapter.

Episode 4 · Open-source music model YuE2 runs Suno-quality songs on just 4.5GB VRAM (2026-09-15, 5 posts)

The open-source music generation model YuE2 has recently been tested by multiple developers and is being hailed as possibly the strongest open-source option available today: high generation quality, fast speeds, and remarkably low VRAM requirements that allow local deployment on consumer hardware.

Confirmed

  • Pinokio author cocktailpeanut integrated YuE2 into the WanGP platform and monitored VRAM usage throughout—peak consumption never exceeded 4.5GB VRAM, meaning consumer-grade GPUs and even some laptops can locally generate "SUNO-level" quality songs.
  • YuE2 is now available on Wan2gP with one-click install via Pinokio, dramatically lowering the barrier to local deployment.
  • Users have tested its cover feature: feed the model the original audio and lyrics of a song, and it batch-generates a dozen or so cover versions in different styles, with high quality and fast output.
  • Another user (@lazyspock) got early access to YuE2 support not yet in the stable ComfyUI release and built a workflow for testing: the INT8 quantized version requires about 8GB VRAM (runs on an RTX 4070 12GB), generating a four-minute song in roughly 120–150 seconds, with cover quality close to Suno.

Why it matters

  • Dropping the VRAM barrier to 4.5GB means a huge number of ordinary users can generate music locally without high-end GPUs, and with Pinokio's one-click install, deployment costs are near zero.
  • For the first time, an open-source model poses substantive competition to closed services like Suno in music generation on both quality and ease of use—and local operation sidesteps copyright and paywall restrictions.