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Adjust color distribution by modifying pivot point for controlled contrast and brightness alterations, achieving various visual effects.
The ColorModPivot node is designed to adjust the color distribution of an image by modifying the pivot point around which colors are redistributed. This node allows you to shift the color values in an image, effectively altering the contrast and brightness in a controlled manner. By adjusting the pivot and move parameters, you can achieve a variety of visual effects, from subtle enhancements to dramatic changes. This node is particularly useful for fine-tuning the tonal balance of an image, ensuring that specific color ranges are emphasized or subdued according to your artistic vision.
This parameter represents the input image that you want to modify. The image should be in a format compatible with the node, typically a tensor representing pixel values.
The pivot parameter sets the reference point around which the color values are redistributed. It determines the threshold that separates the lower and higher color values. The default value is 0.5, with a minimum of 0.001 and a maximum of 0.999. Adjusting this value allows you to control the balance between dark and light areas in the image.
The move parameter specifies the amount by which the pivot point is shifted. This value can range from -2.000 to 2.000, with a default of 0.0. Positive values will increase the brightness, while negative values will decrease it. This parameter helps in fine-tuning the overall brightness and contrast of the image.
The clip parameter is a boolean option that determines whether the output values should be clipped to the range [0.0, 1.0]. The default value is True. When clipping is enabled, any values outside this range will be constrained, ensuring that the image remains within the standard color range.
The output is the modified image with adjusted color values based on the specified pivot and move parameters. This image will have its color distribution altered, providing a new tonal balance that reflects the adjustments made. The output image can be used directly in your workflow or further processed with additional nodes.
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