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Converts specified image area to mask for isolating regions based on transparency, essential for precise editing.
The AreaToMask node is designed to convert a specified area within an RGBA image into a mask. This node is particularly useful for isolating and manipulating specific regions of an image based on their transparency. By identifying the non-transparent area within the image, the node generates a mask that can be used for various image processing tasks, such as compositing, masking, and selective editing. This functionality is essential for AI artists who need to work with precise regions of an image, allowing for more controlled and refined artistic effects.
The RGBA parameter represents the input image in RGBA format, where each pixel contains red, green, blue, and alpha (transparency) channels. This image serves as the source from which the non-transparent area will be identified and converted into a mask. The alpha channel is particularly important as it determines the transparency of each pixel, which is used to define the mask area. The input should be a tensor representing the RGBA image.
The MASK output is a binary mask generated from the non-transparent area of the input RGBA image. This mask highlights the regions of the image that are not fully transparent, allowing for selective processing of these areas. The mask is returned as a tensor, where pixel values indicate the presence (1) or absence (0) of the non-transparent area. This output can be used in subsequent image processing nodes to apply effects or modifications only to the masked region.
ImageCompositeMasked
or MaskComposite
, to apply effects selectively to the masked area.© Copyright 2024 RunComfy. All Rights Reserved.