ComfyUI Signal Processing

By c0ffymachyneView on GitHub →

Audio processing nodes for comfyui.

How much VRAM does ComfyUI Signal Processing require?

Direct Answer: The ComfyUI node ComfyUI Signal Processing 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 Signal Processing?

Direct Answer: Running ComfyUI Signal Processing requires installing the following Python package dependencies: cupy-cuda11x, numpy, pyfar, pyloudnorm, scipy, torch, torchaudio. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
cupy-cuda11x
numpy
pyfar
pyloudnorm
scipy
torch
torchaudio

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:

Bytebeat Synthesizer: Composing with Operators
by c0ffymachyne1.5GB VRAM
ACE-Step-ComfyUI
by ace-step1.5GB VRAM
APZmedia Qwen TTS Nodes
by APZmedia128MB VRAM
ATI_AudioReactive
by yukascomfy1.5GB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI Signal Processing require?

ComfyUI Signal Processing 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 Signal Processing 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 Signal Processing need?

ComfyUI Signal Processing requires the following PyTorch-related packages: torch, torchaudio. 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 Signal Processing?

To run ComfyUI Signal Processing, you need to install: cupy-cuda11x, numpy, pyfar, pyloudnorm, scipy, torch, torchaudio. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI Signal Processing?

ComfyUI Signal Processing 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 Signal Processing in ComfyUI?

To install ComfyUI Signal Processing: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/c0ffymachyne/ComfyUI_SignalProcessing, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.