ComfyUI Color Detection Nodes

By DrMWeigandView on GitHub →

A collection of nodes for detecting color in images, leveraging RGB and LAB color spaces. These nodes aim to distinguish colored images from black and white, including those with color tints.

How much VRAM does ComfyUI Color Detection Nodes require?

Direct Answer: The ComfyUI node ComfyUI Color Detection Nodes requires a minimum base VRAM of 128MB and is optimized for GPUs with at least 4GB of VRAM. Low VRAM mode is fully supported for resource-constrained setups.

High (2-4GB)
Base VRAM:
128MB (0.1GB)
Recommended GPU:
4GB+ 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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Deploy on Cloud GPUs

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What Python packages are required for ComfyUI Color Detection Nodes?

Direct Answer: Running ComfyUI Color Detection Nodes requires installing the following Python package dependencies: numpy, opencv-python, torch. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
numpy
opencv-python
torch

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:

StereoVision Plugin for ComfyUI
by DrMWeigand4.0GB VRAM
ComfyUI-Light-N-Color
by KAVVATARE128MB VRAM
4dgs-human-avatar-comfyui-nodes-dataset
by AndriiShramko4.0GB VRAM
AAA Metadata System
by EricRollei128MB VRAM

Frequently Asked Questions

How much VRAM does ComfyUI Color Detection Nodes require?

ComfyUI Color Detection Nodes requires a minimum of 128MB (0.1GB) of VRAM for base operation. For optimal performance, a GPU with at least 4GB of VRAM is recommended. This node supports low VRAM mode for resource-constrained setups.

Can I run ComfyUI Color Detection Nodes on an RTX 3060, RTX 4070, or RTX 4090?

✅ RTX 3060 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 (12GB): Yes, fully compatible with 10.7GB headroom. ✅ RTX 4070 Ti (16GB): Yes, fully compatible with 14.3GB headroom. ✅ RTX 4090 (24GB): Yes, fully compatible with 21.5GB headroom

What PyTorch version does ComfyUI Color Detection Nodes need?

ComfyUI Color Detection Nodes requires the following PyTorch-related packages: torch. 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 Color Detection Nodes?

To run ComfyUI Color Detection Nodes, you need to install: numpy, opencv-python, torch. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ComfyUI Color Detection Nodes?

ComfyUI Color Detection Nodes 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 Color Detection Nodes in ComfyUI?

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