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Merge grayscale images of RGB channels into single RGB image for AI artists to manipulate colors independently and create visual effects.
The Image Mix RGB Channels node is designed to merge three separate grayscale images, each representing one of the RGB color channels, into a single RGB image. This node is particularly useful for AI artists who want to manipulate individual color channels separately and then combine them to form a full-color image. By allowing you to work with the red, green, and blue channels independently, this node provides greater control over the color composition and can be used to create unique visual effects or correct color imbalances in your artwork.
The red_channel
parameter accepts a grayscale image that represents the red channel of the final RGB image. This image will be used to define the intensity of the red color in the merged output. The grayscale values range from 0 (black) to 255 (white), where higher values indicate higher intensity of red. This parameter is crucial for setting the red tones in your final image.
The green_channel
parameter accepts a grayscale image that represents the green channel of the final RGB image. Similar to the red channel, this image will define the intensity of the green color in the merged output. The grayscale values range from 0 (black) to 255 (white), where higher values indicate higher intensity of green. This parameter is essential for setting the green tones in your final image.
The blue_channel
parameter accepts a grayscale image that represents the blue channel of the final RGB image. This image will be used to define the intensity of the blue color in the merged output. The grayscale values range from 0 (black) to 255 (white), where higher values indicate higher intensity of blue. This parameter is important for setting the blue tones in your final image.
The IMAGE
output parameter provides the final RGB image that results from merging the three input grayscale images (red, green, and blue channels). This output is a full-color image where each pixel's color is determined by the corresponding intensities from the input channels. The resulting image can be used for further processing or as a final artwork.
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