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Facilitates interactive workflows by dynamically selecting inputs for decision-making and user interaction, streamlining conditional logic processes.
The InteractiveSelector
node is designed to facilitate interactive workflows by allowing you to select specific inputs dynamically during execution. This node is particularly useful in scenarios where you need to make decisions based on user input or other conditions, enabling a more flexible and responsive process. By leveraging this node, you can streamline workflows that require conditional logic or user interaction, enhancing the overall efficiency and adaptability of your projects. The InteractiveSelector
is part of a suite of interactive nodes that aim to provide a more engaging and intuitive experience when working with complex data flows.
This parameter is a boolean that determines whether the deselection of inputs should be propagated throughout the workflow. When set to True
, it ensures that any deselection action is recognized and processed, potentially affecting subsequent nodes. The default value is True
, which is generally recommended to maintain consistency in interactive workflows.
This boolean parameter indicates whether a particular input is selected. It plays a crucial role in the node's execution, as it determines which input is active and should be processed. The default value is False
, meaning no input is selected initially. This parameter must remain in position 1 due to its significance in the node's logic.
This optional parameter allows you to provide image data as input. It is used when the node needs to process or manipulate images based on the selection criteria. The parameter does not have a default value, as it is optional and only required when image processing is necessary.
This hidden parameter is used internally to store prompt data. It is not intended for direct manipulation by users but is essential for the node's internal operations.
Another hidden parameter, extra_pnginfo
, is used to store additional metadata related to PNG images. Like prompt
, it is crucial for the node's internal processes but not meant for user interaction.
This output parameter returns the selected image data, allowing you to use it in subsequent nodes or processes. It is essential for workflows that involve image manipulation or analysis, providing the necessary data for further operations.
This output provides latent data, which can be used in various machine learning or data processing tasks. It is crucial for workflows that require latent space manipulation or analysis.
The parameter_mask
output delivers mask data, which is often used in image processing tasks to isolate or highlight specific areas of an image. This output is vital for tasks that involve segmentation or masking.
This output returns string data, which can be used for textual analysis or manipulation. It is important for workflows that involve text processing or generation.
The parameter_int
output provides integer data, which can be used in calculations or as input for other nodes that require integer values. It is essential for tasks that involve numerical data processing.
This output delivers float data, which is crucial for tasks that require precision in numerical calculations or data analysis. It is used in workflows that involve floating-point arithmetic or data manipulation.
propagate_deselect
parameter to maintain consistency in workflows that require dynamic input selection and deselection.images
input parameter for workflows that involve image processing, ensuring that the necessary image data is provided.selected
at any given time.© Copyright 2024 RunComfy. All Rights Reserved.
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