We released our HeartMuLa-oss-3B-happy-new-year version. This version is currently the best open-sourced model in terms of lyrics controllability and music quality. We recommend using HeartMuLa-oss-3B-happy-new-year and HeartCodec-oss-20260123 for music generation.
⚖️ 03 Feb. 2026
We have released our HeartMuLa-Benchmark (referred to as HeartBeats Benchmark in our paper) as introduced in our paper. This benchmark comprises heterogeneous AI-generated lyrics and tags across diverse languages and genres, providing a rigorous and fair evaluation framework.
🚀 23 Jan. 2026
By leveraging Reinforcement Learning, we have continuously refined our model and are proud to officially release HeartMuLa-RL-oss-3B-20260123. This version is designed to achieve more precise control over styles and tags. Simultaneously, we are launching HeartCodec-oss-20260123, which optimizes audio decoding quality.
By default this command will generate a piece of music conditioned on lyrics and tags provided in ./assets folder. The output music will be saved at ./assets/output.mp3.
FAQs
How to specify lyrics and tags?
The model will load lyrics from the txt file --lyrics link to (by default ./assets/lyrics.txt). If you would like to use your own lyrics, just modify the content in ./assets/lyrics.txt. If you would like to save your lyrics to another path, e.g. my_awesome_lyrics.txt, remember to input arguments --lyrics my_awesome_lyrics.txt.
For tags it's basically the same.
CUDA out of memory?
If you have multi-GPUs (e.g. 2 4090s), we recommend placing the params of HeartMuLa and HeartCodec separately on different devices. You can do it by typing --mula_device cuda:0 --codec_device cuda:1
If you are running on a single GPU, use --lazy_load true so that modules will be loaded on demand and deleted once inference completed to save GPU memory.
All parameters:
--model_path (required): Path to the pretrained model checkpoint
--lyrics: Path to lyrics file (default: ./assets/lyrics.txt)
--tags: Path to tags file (default: ./assets/tags.txt)
--version: The version of HeartMuLa, choose between [3B, 7B]. (default: 3B) # 7B version not released yet.
--mula_device/--codec_device: The device where params will be placed. Both are set to cuda by default. You can use --mula_device cuda:0 --codec_device cuda:1 to explicitly place different modules to different devices.
--mula_dtype/--codec_dtype: Inference dtype. By default is bf16 for HeartMuLa and fp32 for HeartCodec. Setting bf16 for HeartCodec may result in the degradation of audio quality.
--lazy_load: Whether or not to use lazy loading (default: false). If turned on, modules will be loaded on demand to save GPU usage.
Recommended format of lyrics and tags:
[Intro]
[Verse]
The sun creeps in across the floor
I hear the traffic outside the door
The coffee pot begins to hiss
It is another morning just like this
[Prechorus]
The world keeps spinning round and round
Feet are planted on the ground
I find my rhythm in the sound
[Chorus]
Every day the light returns
Every day the fire burns
We keep on walking down this street
Moving to the same steady beat
It is the ordinary magic that we meet
[Verse]
The hours tick deeply into noon
Chasing shadows,chasing the moon
Work is done and the lights go low
Watching the city start to glow
[Bridge]
It is not always easy,not always bright
Sometimes we wrestle with the night
But we make it to the morning light
[Chorus]
Every day the light returns
Every day the fire burns
We keep on walking down this street
Moving to the same steady beat
[Outro]
Just another day
Every single day
Regarding tags, check this issue for reference.
Our different tags are comma-separated without spaces as illustrated below:
piano,happy,wedding,synthesizer,romantic
⚖️ License
This repository is licensed under the Apache 2.0 License.
📚 Citation
@misc{yang2026heartmulafamilyopensourced,
title={HeartMuLa: A Family of Open Sourced Music Foundation Models},
author={Dongchao Yang and Yuxin Xie and Yuguo Yin and Zheyu Wang and Xiaoyu Yi and Gongxi Zhu and Xiaolong Weng and Zihan Xiong and Yingzhe Ma and Dading Cong and Jingliang Liu and Zihang Huang and Jinghan Ru and Rongjie Huang and Haoran Wan and Peixu Wang and Kuoxi Yu and Helin Wang and Liming Liang and Xianwei Zhuang and Yuanyuan Wang and Haohan Guo and Junjie Cao and Zeqian Ju and Songxiang Liu and Yuewen Cao and Heming Weng and Yuexian Zou},
year={2026},
eprint={2601.10547},
archivePrefix={arXiv},
primaryClass={cs.SD},
url={https://arxiv.org/abs/2601.10547},
}
📬 Contact
If you are interested in HeartMuLa, feel free to reach us at [email protected]
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HeartMuLa 是一套开源的音乐基础模型，可以根据歌词和标签生成音乐，同时还附带编解码器、转录和音频-文本检索等配套模型。