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Facilitates custom script execution in ComfyUI for data manipulation and workflow automation.
The 0246.Script node is designed to facilitate the execution of custom scripts within the ComfyUI framework. This node allows you to define and execute specific functions, providing a flexible and powerful way to manipulate data and automate workflows. By leveraging the capabilities of this node, you can streamline complex processes, enhance the functionality of your AI art projects, and achieve more precise control over your creative outputs. The node supports various execution modes and can handle different types of input data, making it a versatile tool for advanced users who need to implement custom logic in their workflows.
This parameter determines the mode in which the script rule operates. It accepts three options: "_"
, "slice"
, and "cycle"
. The "_"
mode executes the script directly without any additional processing. The "slice"
mode processes the input data by slicing it into smaller chunks, which can be useful for batch processing or handling large datasets. The "cycle"
mode processes the input data by cycling through different combinations, allowing for more complex and varied outputs. Choosing the appropriate mode can significantly impact the behavior and results of the script execution.
This hidden parameter is a unique identifier for the script instance. It ensures that each script execution is tracked and managed correctly within the ComfyUI framework. The value of this parameter is automatically generated and managed by the system, so you do not need to provide or modify it manually.
This output parameter contains the data generated by the script rule execution. It is of type SCRIPT_DATA
and includes information about the script's execution, such as the unique identifier, the function used, and the kind of rule applied. This data can be used to further process or analyze the results of the script execution, providing valuable insights and enabling more complex workflows.
"slice"
mode, ensure that your input data is appropriately structured to take advantage of batch processing. This can help improve performance and manage large datasets more efficiently."cycle"
mode for scenarios where you need to explore different combinations of input data. This can be particularly useful for generating varied outputs or testing different configurations.<mode>
"script_rule_mode
parameter.script_rule_mode
parameter is set to one of the supported values: "_"
, "slice"
, or "cycle"
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