ComfyUI-Demucs-AudioSeparator

By MeisoftcoltdView on GitHub →

Custom ComfyUI node for audio source separation using Meta Demucs v4 technology to extract voices, drums, bass, and other instruments with high fidelity. (Description by CC)

How much VRAM does ComfyUI-Demucs-AudioSeparator require?

Direct Answer: The ComfyUI node ComfyUI-Demucs-AudioSeparator 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.

High (2-4GB)
Base VRAM:
1536MB (1.5GB)
Recommended GPU:
6GB+ VRAM
Low VRAM Mode:
✓ Supported
Estimation Confidence:
MEDIUM

Interactive VRAM Compatibility Estimator

Estimated Total VRAM: 3.00 GBTarget: 8 GB
✅ Comfortable Fit

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-Demucs-AudioSeparator?

Direct Answer: Running ComfyUI-Demucs-AudioSeparator requires installing the following Python package dependencies: demucs>=4.0.0, librosa, numpy, soundfile, torch>=2.0.0, torchaudio>=2.0.0. This node specifically requires PyTorch version 2.0.0 or newer.

requirements.txt
demucs>=4.0.0
librosa
numpy
soundfile
torch>=2.0.0
torchaudio>=2.0.0

Interactive Setup & Dependency Resolver

Operating System:
Environment Type:
Run this terminal command in your ComfyUI root folder:
# Loading command...

Special Environment Requirements:

Requires PyTorch version 2.0.0+.

To update PyTorch for your selected setup, run:
# Loading PyTorch command...

Related Custom Nodes

The following custom nodes run in the same PyTorch / CUDA environment and share similar categories or workflows:

AudioSR
by Saganaki223.0GB VRAM
ComfyUI DMOSpeech2 Node
by HM-RunningHub128MB VRAM
ComfyUI Neural Network Toolkit NNT
by inventorado256MB VRAM
ComfyUI WhisperX Pro
by loockluo1.5GB VRAM
ComfyUI Zonos TTS Node
by BahaC256MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI-Demucs-AudioSeparator require?

ComfyUI-Demucs-AudioSeparator 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-Demucs-AudioSeparator 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-Demucs-AudioSeparator need?

ComfyUI-Demucs-AudioSeparator 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-Demucs-AudioSeparator?

To run ComfyUI-Demucs-AudioSeparator, you need to install: demucs>=4.0.0, librosa, numpy, soundfile, torch>=2.0.0, torchaudio>=2.0.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI-Demucs-AudioSeparator?

ComfyUI-Demucs-AudioSeparator 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-Demucs-AudioSeparator in ComfyUI?

To install ComfyUI-Demucs-AudioSeparator: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/Meisoftcoltd/ComfyUI-Demucs-AudioSeparator, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.