A collection of nodes designed for ComfyUI that focus on color detection in images by utilizing RGB and LAB color spaces. These nodes are particularly effective in differentiating between colored images and black-and-white images, including those with subtle color tints.
- Supports both RGB and LAB color detection methods, allowing users to choose based on their specific needs.
- Offers customizable parameters for RGB detection to improve accuracy in identifying color tints.
- Provides faster analysis times with LAB detection, making it suitable for quick assessments of image coloration.
Context
This tool is a set of nodes tailored for ComfyUI that enables users to detect colors within images. Its primary purpose is to distinguish between fully colored images and those that are black and white or have color tints, enhancing the overall capability of image processing within the ComfyUI framework.
Key Features & Benefits
The RGB Color Detection feature analyzes deviations in the RGB color space, allowing for customizable pixel percentage settings to improve accuracy, especially for tinted images. On the other hand, the LAB Color Detection method focuses on the A and B channels of the LAB color space, providing a faster means of identifying colored images, which can be beneficial in workflows requiring quick results.
Advanced Functionalities
The nodes leverage two distinct color detection methodologies, each with its strengths. The RGB method is particularly adept at detecting color tints but may operate slower, while the LAB method is faster but can struggle with nuanced tint differentiation. This dual approach allows users to select the method that best fits their specific image processing requirements.
Practical Benefits
Incorporating these color detection nodes into ComfyUI enhances workflow efficiency by providing users with the ability to quickly and accurately analyze image coloration. This not only improves control over the image processing tasks but also elevates the quality of outputs by ensuring that color distinctions are properly identified and handled.
Credits/Acknowledgments
The nodes are developed by contributors to the ComfyUI community, and users are encouraged to acknowledge the original authors and the collaborative effort of the open-source community in enhancing the tool's functionality. The repository is available under an open-source license, promoting further contributions and improvements.