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HeartMuLa: Suno-like song generation from lyrics + tags.
Passed 21 of 21 test cases with the skill, and 7 of 21 without it.
and 22 more in the full report
15 fixed7 passed either way0 still failing0 broke
Tokens, turns and time describe resource use, not a dollar price.
One of 14 test cases the skill fixed. Same model, same prompt, with and without the skill.
What is the default maximum audio length setting in milliseconds and the default classifier-free guidance scale (`cfg_scale`) in HeartMuLa's generation script?
| Checked | Without skill | With skill |
|---|---|---|
| States default max_audio_length_ms is 240000. | Passed | Passed |
| States default cfg_scale is 1.5. | Missed | Passed |
The instructions your model reads when the skill loads.
HeartMuLa is a family of open-source music foundation models (Apache-2.0) that generates music conditioned on lyrics and tags, with multilingual support. Generates full songs from lyrics + tags. Comparable to Suno for open-source. Includes:
--lazy_load true (loads/unloads models sequentially)--mula_device cuda:0 --codec_device cuda:1 to split across GPUscd ~/ # or desired directory
git clone https://github.com/HeartMuLa/heartlib.git
cd heartlib
uv venv --python 3.10 .venv
. .venv/bin/activate
uv pip install -e .
IMPORTANT: As of Feb 2026, the pinned dependencies have conflicts with newer packages. Apply these fixes:
test cases passed, vs 7 / 21 without
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