Img2color - Extract Colors from Image

By christian-byrneView on GitHub →

Extract the most common colors from an image, up to any number. Convert colors to plain English names using various color naming systems.

How much VRAM does Img2color - Extract Colors from Image require?

Direct Answer: The ComfyUI node Img2color - Extract Colors from Image 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!

Deploy on High-Performance GPUs

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Deploy on Cloud GPUs

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What Python packages are required for Img2color - Extract Colors from Image?

Direct Answer: Running Img2color - Extract Colors from Image requires installing the following Python package dependencies: colornamer==0.2.3, scikit_learn>=1.4.0, webcolors==1.13. Ensure your ComfyUI environment has these packages active before launching.

requirements.txt
colornamer==0.2.3
scikit_learn>=1.4.0
webcolors==1.13

Interactive Setup & Dependency Resolver

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

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Frequently Asked Questions

How much VRAM does Img2color - Extract Colors from Image require?

Img2color - Extract Colors from Image 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 Img2color - Extract Colors from Image 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 Python packages are required for Img2color - Extract Colors from Image?

To run Img2color - Extract Colors from Image, you need to install: colornamer==0.2.3, scikit_learn>=1.4.0, webcolors==1.13. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running Img2color - Extract Colors from Image?

Img2color - Extract Colors from Image 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 Img2color - Extract Colors from Image in ComfyUI?

To install Img2color - Extract Colors from Image: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/christian-byrne/img2colors-comfyui-node, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.