Music and sound

HeartMuLa

An open model for generating songs with vocals in Chinese, English, Japanese, Korean and Spanish, plus a codec and a lyrics transcription model.

Developer
HeartMuLa Team, not disclosed
First release
Jan 2026
Latest release
Sep 2026
Sizes
3B
License
Commercial use allowedApache 2.0; the MuLaCover cover model is CC BY-NC 4.0
Running
On your own serverNeeds a GPU
Industries
Marketing and content, Media and production

What it does

  • Songs and jingles from lyrics
  • Music for videos
  • Transcribing song lyrics

Where it is used

MarketingMediaMusic studios

Hardware requirements

LaptopLaptop or regular PC, up to 8 GB of VRAM — smaller versions
no versions
1 GPUOne GPU with 16–80 GB — mid-size versions
fits
ClusterServer with several GPUs — flagship versions
no versions

Versions

  1. MuLaCover
  2. HeartMuLa-oss 3B, HeartCodec, HeartTranscriptor

How to run it

On your own serverWeights are downloaded from Hugging Face and served with vLLM (load and API) or llama.cpp (modest hardware). The model then runs in a closed network with no per-request fees.Hugging Face
How much hardware you needCalculate the VRAM for the model size, context length and number of concurrent requests.Open the hardware calculator

I can set this up end to end: pick the model size, deploy it on your server and connect it to your systems.

Frequently asked questions

Can HeartMuLa be used in a commercial project?

Yes. License: Apache 2.0; the MuLaCover cover model is CC BY-NC 4.0. It allows commercial use, but it is still worth having a lawyer review the license before launch.

What hardware does HeartMuLa need?

At minimum: One GPU with 16–80 GB — mid-size versions. Without a GPU the model is not practical. You can calculate the exact VRAM for your model size and context in the hardware calculator.

Does HeartMuLa support Russian?

Language does not matter for this model: it does not work with text.

Where can I download HeartMuLa and what does it cost?

The HeartMuLa weights are open and free to download. You only pay for the hardware it runs on and for the setup. Source links are at the bottom of this page.

How I deploy it for clients

  1. SelectionI pick the model size for your task and hardware and test it on your examples.
  2. DeploymentI deploy it on your server or in a closed network and provide an API.
  3. Fine-tuningI fine-tune it on your data (LoRA) or connect a knowledge base — whichever is cheaper for the task.
  4. IntegrationI connect it to your CRM, ERP, bot, website or team chat and set up monitoring.

Similar models

Source: huggingface.co/HeartMuLa/MuLaCover. Data checked against the model card on 22 Sep 2026. Have a lawyer review the license before commercial launch.