DeepExtract
DeepExtract is a powerful and efficient tool designed to separate vocals and sounds from audio files, providing an enhanced experience for musicians, producers, and audio engineers. With DeepExtract, you can quickly and effectively isolate vocals or instruments from mixed audio tracks, facilitating tasks like remixing, karaoke preparation, or audio analysis.
How much VRAM does DeepExtract require?
Direct Answer: The ComfyUI node DeepExtract 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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Deploy on Cloud GPUs
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What Python packages are required for DeepExtract?
Direct Answer: Running DeepExtract requires installing the following Python package dependencies: librosa==0.9.2, onnx, onnx2pytorch, soundfile==0.12.1, tqdm. Ensure your ComfyUI environment has these packages active before launching.
librosa==0.9.2
onnx
onnx2pytorch
soundfile==0.12.1
tqdmInteractive Setup & Dependency Resolver
# Loading command...Frequently Asked Questions
How much VRAM does DeepExtract require?
DeepExtract 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 DeepExtract 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 DeepExtract need?
DeepExtract requires the following PyTorch-related packages: onnx2pytorch. 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 DeepExtract?
To run DeepExtract, you need to install: librosa==0.9.2, onnx, onnx2pytorch, soundfile==0.12.1, tqdm. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running DeepExtract?
DeepExtract 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 DeepExtract in ComfyUI?
To install DeepExtract: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/abdozmantar/ComfyUI-DeepExtract, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.