ComfyUI-MusicGen-HF
A standalone ComfyUI custom node package for Facebook's MusicGen using Hugging Face Transformers. Generate high-quality music from text prompts with full support for CUDA, MPS (Apple Silicon), and CPU.
How much VRAM does ComfyUI-MusicGen-HF require?
Direct Answer: The ComfyUI node ComfyUI-MusicGen-HF requires a minimum base VRAM of 1536MB and is optimized for GPUs with at least 6GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.
- Base VRAM:
- 1536MB (1.5GB)
- Recommended GPU:
- 6GB+ VRAM
- Low VRAM Mode:
- ✓ Supported
- Estimation Confidence:
- MEDIUM
Interactive VRAM Compatibility Estimator
Your GPU has plenty of headroom. You can run this node safely with your active configurations!
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What Python packages are required for ComfyUI-MusicGen-HF?
Direct Answer: Running ComfyUI-MusicGen-HF requires installing the following Python package dependencies: accelerate>=0.20.0, av>=15.0.0, scipy>=1.10.0, torch>=2.0.0, torchaudio>=2.0.0, transformers>=4.30.0. This node specifically requires PyTorch version 2.0.0 or newer.
accelerate>=0.20.0
av>=15.0.0
scipy>=1.10.0
torch>=2.0.0
torchaudio>=2.0.0
transformers>=4.30.0Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 2.0.0+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does ComfyUI-MusicGen-HF require?
ComfyUI-MusicGen-HF requires a minimum of 1536MB (1.5GB) of VRAM for base operation. For optimal performance, a GPU with at least 6GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.
Can I run ComfyUI-MusicGen-HF on an RTX 3060, RTX 4070, or RTX 4090?
✅ RTX 3060 (12GB): Yes, fully compatible with 9.3GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 9.3GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 12.9GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 20.1GB headroom
What PyTorch version does ComfyUI-MusicGen-HF need?
ComfyUI-MusicGen-HF requires the following PyTorch-related packages: torch>=2.0.0, torchaudio>=2.0.0. Ensure your ComfyUI environment has these installed. Ensure your PyTorch installation matches your CUDA version (use torch.version.cuda to check).
What Python packages are required for ComfyUI-MusicGen-HF?
To run ComfyUI-MusicGen-HF, you need to install: accelerate>=0.20.0, av>=15.0.0, scipy>=1.10.0, torch>=2.0.0, torchaudio>=2.0.0, transformers>=4.30.0. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running ComfyUI-MusicGen-HF?
ComfyUI-MusicGen-HF supports low VRAM mode. To reduce memory usage: (1) Enable --lowvram or --medvram flags in ComfyUI, (2) Reduce batch size to 1, (3) Use fp16 or fp8 precision if supported, (4) Close other GPU applications.
How do I install ComfyUI-MusicGen-HF in ComfyUI?
To install ComfyUI-MusicGen-HF: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/ebrinz/ComfyUI-MusicGen-HF, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.