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Extract and compile masks from defined regions for streamlined processing in AI projects.
The ETN_ListRegionMasks node is designed to extract and compile masks from a list of defined regions. This node is particularly useful when you have multiple regions defined in your project and you need to gather all their masks into a single tensor for further processing. By leveraging this node, you can streamline the process of handling multiple region masks, ensuring that they are efficiently stacked and ready for subsequent operations. This functionality is essential for tasks that require collective manipulation or analysis of region masks, such as image segmentation, conditioning, or attention mechanisms in AI art projects.
The regions
parameter expects a list of regions, each defined by a mask and conditioning data. This input is crucial as it provides the node with the necessary regions from which the masks will be extracted. The regions should be preprocessed and structured correctly to ensure accurate mask extraction. There are no specific minimum, maximum, or default values for this parameter, but it must be a valid list of Region
objects.
The MASK
output parameter is a tensor that contains the stacked masks from the provided regions. This output is significant as it consolidates all the individual region masks into a single tensor, making it easier to perform batch operations or further processing. The resulting tensor will have a shape that reflects the number of regions and the dimensions of each mask, facilitating efficient handling and manipulation in subsequent nodes or processes.
regions
parameter are correctly defined and preprocessed to avoid errors during mask extraction.regions
parameter to meet the node's requirements for processing.© Copyright 2024 RunComfy. All Rights Reserved.