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Facilitates dynamic value assignment and caching in workflows for efficient data management and reuse.
The FlowBuilderSetter (adv) node is designed to facilitate the dynamic assignment and caching of values within a workflow. This node allows you to set a value associated with a specific key, which can then be retrieved later in the workflow. This functionality is particularly useful for managing and reusing data across different stages of your workflow, ensuring consistency and efficiency. By leveraging this node, you can streamline your workflow processes, reduce redundancy, and enhance the overall performance of your AI art projects.
This parameter accepts any type of value that you want to store and associate with a specific key. The value can be of any data type, making this node highly versatile for various use cases. The value you provide here will be cached and can be retrieved later using the corresponding key.
This is a string parameter that serves as the identifier for the value you are setting. The key must be unique within the context of your workflow to avoid conflicts. By default, this parameter is an empty string. The key is essential for retrieving the cached value later in the workflow.
This optional integer parameter specifies the number of items to process in a batch. It has a default value of 1, with a minimum value of 1 and a maximum value of 10,000. Adjusting the batch size can help optimize the performance of your workflow, especially when dealing with large datasets.
The output parameter returns the value that was set and cached using the specified key. This allows you to confirm that the correct value has been stored and can be used in subsequent nodes within your workflow.
<key>
, inputs: <kwargs>
<key>
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