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Dynamically switch between images based on boolean condition for AI art generation automation.
The LF_SwitchImage
node is designed to dynamically switch between two image inputs based on a boolean condition. This node is particularly useful in scenarios where you need to conditionally select between two different images during your AI art generation process. By leveraging this node, you can automate the decision-making process, ensuring that the appropriate image is selected based on the specified condition. This can help streamline workflows, reduce manual intervention, and enhance the flexibility of your image processing pipeline.
This parameter represents the image that will be returned if the boolean condition is true. It is a lazy-loaded image, meaning it will only be processed if the condition requires it. This helps in optimizing performance by avoiding unnecessary computations. The tooltip for this parameter is "Value to return if the boolean condition is true."
This parameter represents the image that will be returned if the boolean condition is false. Similar to on_true
, it is also a lazy-loaded image, ensuring that it is only processed when needed. This helps in optimizing performance by avoiding unnecessary computations. The tooltip for this parameter is "Value to return if the boolean condition is false."
This parameter is a boolean condition that determines which image to return. If the condition is true, the on_true
image is selected; otherwise, the on_false
image is chosen. The default value for this parameter is false. The tooltip for this parameter is "Boolean condition to switch between 'on_true' and 'on_false' values."
The output of this node is an image, which is either the on_true
or on_false
image based on the boolean condition. This output is crucial as it allows for conditional image selection, enabling more dynamic and responsive image processing workflows.
boolean
parameter to control the flow of your image processing pipeline dynamically. This can be particularly useful in scenarios where different conditions might require different image inputs.on_true
and on_false
are pre-processed and ready for use to avoid any delays in the pipeline.on_true
or on_false
image is not a valid image format.© Copyright 2024 RunComfy. All Rights Reserved.