Install HeartMuLa
Run the open source AI music generator on your own hardware
System Requirements
| Component | Minimum | Recommended |
|---|---|---|
| GPU | 16GB VRAM (FP16 quantized) | 24GB+ VRAM |
| RAM | 32GB | 64GB |
| Storage | 20GB free space | 50GB+ SSD |
| OS | Linux / Windows 10+ | Ubuntu 22.04 / Windows 11 |
| Python | 3.10 | 3.10 - 3.11 |
| CUDA | 11.8 | 12.1+ |
Supported GPUs
Optimal (24GB+ VRAM)
Recommended (16-24GB)
Minimum (16GB with quantization)
Cloud GPU Services
Don't have a powerful GPU? Rent one from these cloud providers
RunPod
GPU cloud platform with easy deployment and competitive pricing
Features:
- RTX 4090 and A100 available
- Pre-built templates
- Persistent storage
- Serverless option
Vast.ai
Marketplace for GPU rentals with lowest prices
Features:
- Bid-based pricing
- Wide GPU selection
- Docker support
- Community instances
Lambda Labs
ML-focused cloud with high-end GPUs
Features:
- H100 and A100 available
- Pre-installed ML stack
- On-demand and reserved
- Enterprise support
Google Colab
Free tier available, good for testing
Features:
- Free T4 GPU tier
- Jupyter notebook
- Google Drive integration
- A100 on Pro+ plan
Paperspace
Developer-friendly GPU cloud platform
Features:
- Gradient notebooks
- A100 available
- Persistent storage
- Team collaboration
Installation Methods
ComfyUI Workflow
EasyVisual node-based interface for music generation
Steps:
- 1Install ComfyUI following its official guide
- 2Install the community HeartMuLa custom node (benjiyaya/HeartMuLa_ComfyUI)
- 3Download HeartMuLa model from Hugging Face
- 4Place model in ComfyUI/models/heartmula/
- 5Load the example workflow and start creating
Commands:
cd ComfyUI/custom_nodes
git clone https://github.com/benjiyaya/HeartMuLa_ComfyUI
pip install -r HeartMuLa_ComfyUI/requirements.txtFrequently Asked Questions
What are HeartMuLa's GPU requirements?
HeartMuLa's official docs don't state a fixed VRAM requirement. If a single GPU runs out of memory, you can split the model and codec across multiple GPUs or enable lazy loading.
Does HeartMuLa work on Mac with Apple Silicon?
Currently no. HeartMuLa requires CUDA (NVIDIA GPU). macOS with Apple Silicon is not supported yet.
How long does it take to generate a song?
On RTX 4090, a 3-minute song takes about 2-3 minutes. Generation time scales with song duration.
Can I use the generated music commercially?
Yes! HeartMuLa is Apache 2.0 licensed. You own full rights to any music you generate.