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Facilitates conditional JSON value switching for AI art workflows based on boolean conditions.
The LF_SwitchJSON node is designed to facilitate conditional logic within your AI art workflows by dynamically switching between two JSON values based on a boolean condition. This node is particularly useful when you need to choose between different sets of parameters or configurations depending on specific conditions. By leveraging this node, you can streamline your workflow, making it more adaptable and responsive to varying scenarios. The primary function of the LF_SwitchJSON node is to evaluate a boolean condition and return one of the two provided JSON values accordingly, ensuring that your workflow can handle different cases efficiently and effectively.
This parameter accepts a JSON value that will be returned if the boolean condition is true. It is designed to be lazy, meaning it will only be evaluated if the condition is met. This can help optimize performance by avoiding unnecessary computations. The on_true parameter allows you to define the JSON configuration or data that should be used when the condition is satisfied.
This parameter accepts a JSON value that will be returned if the boolean condition is false. Similar to on_true, it is also lazy and will only be evaluated if the condition is not met. This ensures that only the necessary JSON value is processed, contributing to a more efficient workflow. The on_false parameter allows you to specify the JSON configuration or data to be used when the condition is not satisfied.
This parameter is a boolean value that determines which JSON value to return. It defaults to false and serves as the condition for switching between the on_true and on_false values. The boolean parameter is crucial as it dictates the flow of your workflow, enabling dynamic decision-making based on the specified condition.
The output of the LF_SwitchJSON node is a JSON value. Depending on the boolean condition, it will either be the on_true or on_false JSON value. This output is essential for continuing your workflow with the appropriate configuration or data, ensuring that subsequent nodes receive the correct input based on the evaluated condition.
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