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Define image regions using masks and conditioning data for targeted processing and artistic effects.
The ETN_DefineRegion node is designed to help you define specific regions within an image by using a mask and conditioning data. This node is particularly useful for AI artists who want to apply different effects or transformations to distinct parts of an image. By defining regions, you can isolate areas for targeted processing, enabling more complex and refined artistic creations. The node allows for the optional inclusion of previously defined regions, making it versatile for layered and hierarchical region definitions. This capability is essential for tasks that require precise control over different sections of an image, such as inpainting, segmentation, or applying varied styles.
The mask
parameter is a tensor that defines the area of the image you want to isolate as a region. This mask is crucial as it determines which parts of the image will be affected by the conditioning data. The mask should have at least three dimensions, and if it has fewer, it will be automatically expanded. The mask's values typically range from 0 to 1, where 0 represents areas that are not part of the region and 1 represents areas that are fully included.
The conditioning
parameter is a list that contains the data used to condition the region. This data can include various attributes or features that you want to apply to the defined region. The conditioning data is essential for customizing the effects or transformations applied to the region, allowing for a high degree of artistic control.
The regions
parameter is optional and allows you to include previously defined regions. This parameter can be useful for creating complex, multi-layered region definitions where new regions build upon or interact with existing ones. If not provided, the node will define a new region independently.
The REGIONS
output parameter is a tuple containing the newly defined region. This output is essential as it encapsulates the mask and conditioning data, making it ready for further processing or integration with other nodes. The REGIONS
output can be used in subsequent nodes to apply specific effects or transformations to the defined region, enabling a seamless workflow for complex image manipulations.
regions
parameter to build upon existing definitions effectively.© Copyright 2024 RunComfy. All Rights Reserved.