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Dynamic switching between CLIP inputs based on boolean condition for flexible AI art workflows.
The CR Clip Input Switch JK node is designed to dynamically switch between two different CLIP inputs based on a boolean condition. This node is particularly useful in scenarios where you need to conditionally select between two CLIP models or configurations, allowing for more flexible and adaptive workflows in your AI art projects. By leveraging this node, you can streamline your processes and ensure that the appropriate CLIP input is used based on specific conditions, enhancing the overall efficiency and effectiveness of your creative pipeline.
The boolean_value parameter is a boolean input that determines which CLIP input to select. When set to True, the node will select the clip_true input; when set to False, it will select the clip_false input. This parameter is essential for controlling the conditional logic of the node. The default value is False.
The clip_false parameter is the CLIP input that will be selected when the boolean_value is set to False. This input allows you to specify the CLIP model or configuration that should be used under the false condition. There are no specific minimum or maximum values for this parameter, as it is a CLIP input.
The clip_true parameter is the CLIP input that will be selected when the boolean_value is set to True. This input allows you to specify the CLIP model or configuration that should be used under the true condition. Similar to clip_false, there are no specific minimum or maximum values for this parameter, as it is a CLIP input.
The CLIP output is the selected CLIP input based on the boolean_value parameter. If boolean_value is True, the output will be the clip_true input; if boolean_value is False, the output will be the clip_false input. This output is crucial for ensuring that the correct CLIP model or configuration is used in subsequent nodes or processes.
The BOOLEAN output is the value of the boolean_value parameter. This output allows you to verify the condition that was used to select the CLIP input, providing transparency and traceability in your workflow.
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