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Facilitates isolating image parts based on color values for precise manipulation in compositing and AI workflows.
The Keyer node is designed to facilitate the process of isolating specific parts of an image based on color values. This is particularly useful in tasks such as compositing, where you might want to extract a subject from a background or apply effects to certain areas of an image. By defining a range of color values, the Keyer node can create a mask that highlights the areas of interest, allowing for more precise and targeted image manipulation. This node is essential for AI artists looking to enhance their creative workflows by providing greater control over image elements.
This parameter accepts the input images that you want to process. The images should be in a format that the node can interpret and manipulate. The quality and resolution of the input images can affect the accuracy of the keying process.
This parameter defines the type of keying operation to be performed. It determines how the node will interpret the color values and create the mask. The specific options for this parameter can vary, but they generally include different keying techniques such as chroma keying or luma keying.
This parameter sets the lower bound of the color range to be keyed. It defines the minimum color value that will be included in the mask. Adjusting this value can help in fine-tuning the areas that are selected by the keyer. The value is typically a numerical representation of color intensity.
This parameter sets the upper bound of the color range to be keyed. It defines the maximum color value that will be included in the mask. Similar to the low
parameter, adjusting this value helps in refining the selection of the keyer. The value is usually a numerical representation of color intensity.
This parameter adjusts the gamma correction for the keying process. Gamma correction can influence the brightness and contrast of the keyed areas, making it easier to isolate specific parts of the image. The value is typically a floating-point number, with higher values increasing the brightness.
This parameter determines whether the input images are pre-multiplied by their alpha channel. Pre-multiplication can affect how the keyer interprets the transparency and color values of the image. This is a boolean parameter, where True
indicates that the images are pre-multiplied and False
indicates they are not.
The output of the Keyer node is a mask that highlights the areas of the image that fall within the specified color range. This mask can be used for further image processing tasks, such as compositing or applying effects. The mask is typically a binary image where the selected areas are white, and the non-selected areas are black.
low
and high
parameters to fine-tune the color range and achieve a more accurate mask.gamma
parameter to adjust the brightness and contrast of the keyed areas, which can help in better isolating the subject.premult
parameter is set correctly based on whether your input images are pre-multiplied by their alpha channel.low
and high
parameters are set to values that do not form a valid range.low
and high
parameters to ensure they define a valid range of color values.gamma
parameter is set to a value that is outside the acceptable range.gamma
parameter to a value within the acceptable range, typically between 0.1 and 10.0.© Copyright 2024 RunComfy. All Rights Reserved.