ColorMatrixGPU Node for ComfyUI

By bear2bView on GitHub →

This node applies a custom 4x4 color matrix to an image using GPU acceleration via PyTorch.

How much VRAM does ColorMatrixGPU Node for ComfyUI require?

Direct Answer: The ComfyUI node ColorMatrixGPU Node for ComfyUI 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

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 ColorMatrixGPU Node for ComfyUI?

Direct Answer: Running ColorMatrixGPU Node for ComfyUI requires installing the following Python package dependencies: boto3, pillow, torch>=1.13.0, torchvision>=0.14.0. This node specifically requires PyTorch version 1.13.0 or newer.

requirements.txt
boto3
pillow
torch>=1.13.0
torchvision>=0.14.0

Interactive Setup & Dependency Resolver

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

Special Environment Requirements:

Requires PyTorch version 1.13.0+.

To update PyTorch for your selected setup, run:
# Loading PyTorch command...

Related Custom Nodes

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

ComfyUI Assistant Node
by pvlprk128MB VRAM
ComfyUI Fast Mosaic Detector
by yano128MB VRAM
ComfyUI-Image-Segmenting-Loader
by GeekyGhost256MB VRAM

Frequently Asked Questions

How much VRAM does ColorMatrixGPU Node for ComfyUI require?

ColorMatrixGPU Node for ComfyUI 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 ColorMatrixGPU Node for ComfyUI 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 ColorMatrixGPU Node for ComfyUI need?

ColorMatrixGPU Node for ComfyUI requires the following PyTorch-related packages: torch>=1.13.0, torchvision>=0.14.0. 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 ColorMatrixGPU Node for ComfyUI?

To run ColorMatrixGPU Node for ComfyUI, you need to install: boto3, pillow, torch>=1.13.0, torchvision>=0.14.0. You can install these using pip or add them to your requirements.txt file.

How can I reduce VRAM usage when running ColorMatrixGPU Node for ComfyUI?

ColorMatrixGPU Node for 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 ColorMatrixGPU Node for ComfyUI in ComfyUI?

To install ColorMatrixGPU Node for ComfyUI: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/bear2b/comfyui-argo-nodes, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.