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Adjust image color properties using LAB color space for precise lightness and color balance control, enhancing visual appeal.
The LayerColor: LAB node is designed to adjust the color properties of an image using the LAB color space, which separates the image into three distinct channels: L (lightness), A (green to red), and B (blue to yellow). This node allows you to fine-tune the lightness and color balance of your images with precision, providing a more intuitive way to manipulate colors compared to the traditional RGB color space. By adjusting the L, A, and B channels independently, you can achieve more natural and visually appealing results, making it an essential tool for AI artists looking to enhance their images' color quality and overall aesthetic.
This parameter accepts the image you want to process. The image should be in a format compatible with the node, typically a tensor representation of the image.
This integer parameter adjusts the lightness channel of the LAB color space. Increasing the value will make the image lighter, while decreasing it will make the image darker. The range for this parameter is from -255 to 255, with a default value of 0.
This integer parameter adjusts the A channel, which controls the green to red color balance. Positive values will shift the colors towards red, while negative values will shift them towards green. The range for this parameter is from -255 to 255, with a default value of 0.
This integer parameter adjusts the B channel, which controls the blue to yellow color balance. Positive values will shift the colors towards yellow, while negative values will shift them towards blue. The range for this parameter is from -255 to 255, with a default value of 0.
The output is the processed image with the applied LAB color corrections. This image will be in the same format as the input image, typically a tensor representation, but with the adjusted lightness and color balance as specified by the input parameters.
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