Project ◆ Hidden gem

Muse

yuhui1038/Muse · Python · MIT

Fully open long-form song model with style controls

Muse emphasizes reproducibility: open data, weights and fine-grained style control. Smaller community than ACE-Step, but strong research transparency — a hidden gem for serious builders.

30.8 / 100 · Score
★ 125 Stars
+1 30-day growth
50 min Time to first run
Not required API key

Score

Trend 47
Activity 8
Quality 65
Community 10
Relevance 100

Setup at a glance

DeployCli
GPU16 GB
API keyNot required
UI languages
Doc languagesen
Install
git clone https://github.com/yuhui1038/Muse.git

Deep dive

Muse is a long-form song generation project built for reproducibility: it generates full songs with fine-grained style control, and — unusually for this space — releases both the weights and the datasets behind them.

The paper was accepted to ACL 2026, the demo website is public, and all datasets and models were released together so results can be reproduced rather than just admired.

The repo separates training and inference documentation, making it a solid reference for anyone building their own song-generation stack.

Use cases

Long-form song research
Fine-grained style experiments
Train on open song corpora

Good for / Not ideal for

Good for

Researchers and open-data advocates

Not ideal for

Casual users seeking the fastest demo

Trend · 30d

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