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Converts images to masks for isolating specific areas, aiding AI artists in targeted image processing.
The Image To Mask node is designed to convert an image into a mask, which is a binary representation highlighting specific areas of interest within the image. This node is particularly useful for AI artists who need to isolate certain parts of an image for further processing or manipulation. By converting an image to a mask, you can easily apply effects, transformations, or other operations to selected regions without affecting the entire image. The node offers two methods for conversion: intensity and alpha, allowing flexibility depending on the type of image and the desired outcome.
This parameter accepts the input image that you want to convert into a mask. The image should be in a format that the node can process, typically a tensor representation of the image. The image can be in RGB or RGBA format, and the node will handle the conversion based on the selected method.
This parameter determines the method used to convert the image into a mask. It offers two options: "intensity" and "alpha". The "intensity" method converts the image based on the intensity of its pixels, which is useful for grayscale or RGB images. The "alpha" method uses the alpha channel of the image to create the mask, which is ideal for images with transparency. The default value is "intensity".
The output of this node is a mask, which is a binary image where the areas of interest are highlighted. The mask can be used in subsequent nodes for various operations such as blending, cutting, or applying effects. The mask is typically a single-channel image where pixel values indicate the presence or absence of the feature of interest.
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