audio-separation-nodes-comfyui

By christian-byrneView on GitHub →

Separate audio track into stems (vocals, bass, drums, other). Along with tools to recombine, tempo match, slice/crop audio.

How much VRAM does audio-separation-nodes-comfyui require?

Direct Answer: The ComfyUI node audio-separation-nodes-comfyui 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!

Deploy on High-Performance GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance GPUs on Vast.ai instantly.

🚀 Deploy on Vast.ai

Deploy on Cloud GPUs

Need more VRAM to run ComfyUI with this node? Rent low-cost, high-performance cloud GPUs on RunPod instantly.

🚀 Deploy on RunPod

What Python packages are required for audio-separation-nodes-comfyui?

Direct Answer: Running audio-separation-nodes-comfyui requires installing the following Python package dependencies: librosa>=0.10.2,<1, moviepy, numpy, torchaudio>=2.3.0. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
librosa>=0.10.2,<1
moviepy
numpy
torchaudio>=2.3.0

Interactive Setup & Dependency Resolver

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

Related Custom Nodes

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

ATI_AudioReactive
by yukascomfy1.5GB VRAM
Akatz Custom Nodes
by akatz-ai128MB VRAM
Artha-Gemini
by Cyrostar4.0GB VRAM
Bjornulf_custom_nodes
by justUmen256MB VRAM

Frequently Asked Questions

How much VRAM does audio-separation-nodes-comfyui require?

audio-separation-nodes-comfyui 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 audio-separation-nodes-comfyui 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 audio-separation-nodes-comfyui need?

audio-separation-nodes-comfyui requires the following PyTorch-related packages: torchaudio>=2.3.0. 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 audio-separation-nodes-comfyui?

To run audio-separation-nodes-comfyui, you need to install: librosa>=0.10.2,<1, moviepy, numpy, torchaudio>=2.3.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running audio-separation-nodes-comfyui?

audio-separation-nodes-comfyui 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 audio-separation-nodes-comfyui in ComfyUI?

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