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Facilitates dynamic selection between two conditioning inputs based on boolean condition for adaptive workflows in AI art generation.
The Conditioning Input Switch node is designed to facilitate the dynamic selection between two conditioning inputs based on a boolean condition. This node is particularly useful in scenarios where you need to toggle between different conditioning data streams, allowing for more flexible and adaptive workflows. By leveraging this node, you can streamline your processes and ensure that the appropriate conditioning input is used based on the specified condition, enhancing the efficiency and effectiveness of your AI art generation tasks.
This parameter represents the first conditioning input. It is one of the two possible conditioning data streams that the node can select from. The value of this parameter will be used if the boolean condition is set to true.
This parameter represents the second conditioning input. It is the alternative conditioning data stream that the node can select from. The value of this parameter will be used if the boolean condition is set to false.
This parameter is a boolean value that determines which conditioning input to use. If set to true, the node will select conditioning_a
; if set to false, it will select conditioning_b
. This parameter allows for dynamic switching between the two conditioning inputs based on the specified condition.
The output of this node is the selected conditioning input, either conditioning_a
or conditioning_b
, based on the boolean condition. This output is crucial for ensuring that the correct conditioning data stream is used in subsequent nodes or processes, thereby maintaining the integrity and intended behavior of your AI art generation workflow.
conditioning_a
and conditioning_b
are properly defined and valid to avoid unexpected results or errors.conditioning_a
or conditioning_b
is not properly defined or is invalid.conditioning_a
, conditioning_b
, and the boolean parameter to ensure they are correctly configured.© Copyright 2024 RunComfy. All Rights Reserved.