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Adjust image color temperature for mood and aesthetic enhancement, ideal for AI artists' color balance adjustments.
The LayerColor: ColorTemperature node is designed to adjust the color temperature of an image, which can significantly alter the mood and visual appeal of your artwork. By modifying the color temperature, you can make an image appear warmer or cooler, enhancing the overall aesthetic and emotional impact. This node is particularly useful for AI artists looking to fine-tune the color balance of their creations, ensuring that the final output aligns with their artistic vision. The node works by adjusting the red, green, and blue channels of the image based on the specified temperature value, providing a flexible and powerful tool for color correction and enhancement.
The image
parameter is the input image that you want to adjust. This image should be in a tensor format, typically with dimensions representing batch size, height, width, and color channels. The image serves as the canvas on which the color temperature adjustments will be applied.
The temperature
parameter controls the degree of color temperature adjustment. A positive value will make the image appear warmer by enhancing the red and green channels, while a negative value will make it cooler by enhancing the blue channel. The temperature value is divided by -100 to scale the adjustments appropriately. There is no strict minimum or maximum value, but typical values range from -100 to 100 for noticeable effects.
The result
parameter is the output image after the color temperature adjustment has been applied. This image will have the same dimensions as the input image but with modified color channels based on the specified temperature value. The result is returned as a tensor, ready for further processing or final output.
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