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Preserve mask data integrity in AI art projects with unchanged pass-through function for reliable mask management.
The MaskClamp node is designed to handle and process mask data within your AI art projects. Its primary function is to ensure that the mask data passed through it remains unchanged, effectively acting as a pass-through or identity node. This can be particularly useful in complex node graphs where you need to maintain the integrity of mask data while performing various operations. By using MaskClamp, you can ensure that your mask data is preserved without any unintended modifications, providing a reliable way to manage and control mask information in your workflows.
The mask
parameter is the primary input for the MaskClamp node. It accepts data of type MASK
, which typically represents a binary or grayscale image used to define areas of interest or exclusion in your project. The mask data is passed through the node without any alterations, ensuring that the original mask information is preserved. This parameter does not have minimum, maximum, or default values as it directly takes the mask data you provide.
The mask
output parameter returns the same mask data that was input into the node. This ensures that the mask remains unchanged, allowing you to use it in subsequent nodes or operations without any loss of information or unintended modifications. The output is of type MASK
, maintaining the consistency and integrity of your mask data throughout your workflow.
mask
input parameter is not provided or is empty.mask
input parameter before executing the node.mask
input parameter is not of type MASK
.MASK
type. If necessary, convert or preprocess your data to match the required type.© Copyright 2024 RunComfy. All Rights Reserved.