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Refine mask images by eroding specific regions for precise results in AI art.
The Mask Erode Region node is designed to refine and process mask images by eroding specific regions within the mask. This node is particularly useful for AI artists who need to clean up or modify mask images to achieve more precise and controlled results. Erosion is a morphological operation that reduces the boundaries of the foreground (white) regions in a binary mask, effectively shrinking the areas of interest. This can help in removing small, unwanted artifacts or in refining the edges of the mask to better match the desired object or region. By iterating the erosion process, you can control the extent to which the mask is reduced, allowing for fine-tuned adjustments to the mask's shape and size.
The masks
parameter is the input mask image(s) that you want to process. This parameter accepts a tensor of mask images, where each mask is typically a binary image with foreground regions represented in white and background regions in black. The masks can be in a batch format, allowing for multiple masks to be processed simultaneously.
The iterations
parameter controls the number of times the erosion operation is applied to the mask. This parameter is an integer value with a default of 5, a minimum of 1, and a maximum of 64. Increasing the number of iterations will result in more aggressive erosion, further shrinking the foreground regions in the mask. This allows you to fine-tune the extent of the erosion to achieve the desired level of refinement.
The MASKS
output parameter provides the processed mask image(s) after the erosion operation has been applied. This output is a tensor of the same format as the input masks, with the foreground regions reduced according to the specified number of iterations. The resulting masks will have cleaner and more refined edges, making them more suitable for subsequent processing or analysis.
iterations
parameter is set to a value outside the allowed range.iterations
parameter to a value between 1 and 64.© Copyright 2024 RunComfy. All Rights Reserved.