Easy Color Correction
ComfyUI custom node for flexible and efficient image color correction and post-processing.
How much VRAM does Easy Color Correction require?
Direct Answer: The ComfyUI node Easy Color Correction 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.
- Base VRAM:
- 128MB (0.1GB)
- Recommended GPU:
- 4GB+ 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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What Python packages are required for Easy Color Correction?
Direct Answer: Running Easy Color Correction requires installing the following Python package dependencies: colour-science>=0.4.3, huggingface_hub>=0.15.0, imageio>=2.28.0, numpy>=1.21.0, opencv-python>=4.8.0, openexr>=1.3.9, pillow>=9.0.0, rawpy>=0.18.0, scikit-image>=0.21.0, scikit-learn>=1.3.0, scipy>=1.11.0, timm>=0.9.2, torch>=1.12.0, torchvision>=0.13.0. This node specifically requires PyTorch version 1.12.0 or newer.
colour-science>=0.4.3
huggingface_hub>=0.15.0
imageio>=2.28.0
numpy>=1.21.0
opencv-python>=4.8.0
openexr>=1.3.9
pillow>=9.0.0
rawpy>=0.18.0
scikit-image>=0.21.0
scikit-learn>=1.3.0
scipy>=1.11.0
timm>=0.9.2
torch>=1.12.0
torchvision>=0.13.0Interactive Setup & Dependency Resolver
# Loading command...Special Environment Requirements:
Requires PyTorch version 1.12.0+.
# Loading PyTorch command...Frequently Asked Questions
How much VRAM does Easy Color Correction require?
Easy Color Correction 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 Easy Color Correction 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 Easy Color Correction need?
Easy Color Correction requires the following PyTorch-related packages: torch>=1.12.0, torchvision>=0.13.0. 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 Easy Color Correction?
To run Easy Color Correction, you need to install: colour-science>=0.4.3, huggingface_hub>=0.15.0, imageio>=2.28.0, numpy>=1.21.0, opencv-python>=4.8.0, openexr>=1.3.9, pillow>=9.0.0, rawpy>=0.18.0, scikit-image>=0.21.0, scikit-learn>=1.3.0, scipy>=1.11.0, timm>=0.9.2, torch>=1.12.0, torchvision>=0.13.0. You can install these using pip or add them to your requirements.txt file.
How can I reduce VRAM usage when running Easy Color Correction?
Easy Color Correction 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 Easy Color Correction in ComfyUI?
To install Easy Color Correction: (1) Navigate to your ComfyUI/custom_nodes directory, (2) Clone the repository: git clone https://github.com/regiellis/ComfyUI-EasyColorCorrector, (3) Install dependencies: pip install -r requirements.txt (if present), (4) Restart ComfyUI. Alternatively, use ComfyUI Manager for one-click installation.