ComfyUI Node: FlowBuilder (adv)

FlowBuilder (adv):

The FlowBuilder (adv) node is designed to streamline and enhance the process of managing data flow within your AI art projects. This node serves as a versatile tool that allows you to efficiently handle and manipulate data, ensuring that your workflows are both organized and optimized. By leveraging the capabilities of FlowBuilder (adv), you can seamlessly integrate various data inputs and outputs, facilitating a smooth and coherent flow of information throughout your project. This node is particularly beneficial for complex workflows where maintaining data integrity and consistency is crucial. Its primary function is to receive data, process it as needed, and then pass it along to subsequent nodes, making it an essential component for any AI artist looking to create sophisticated and dynamic art pieces.

FlowBuilder (adv) Input Parameters:

value

The value parameter is the primary input for the FlowBuilder (adv) node. It accepts any type of data, making it highly flexible and adaptable to various use cases. This parameter is essential as it represents the data that will be processed and passed through the node. The value parameter does not have a default value, and its content can vary depending on the specific requirements of your workflow.

batch_size

The batch_size parameter is an optional input that determines the number of data items to be processed in a single batch. This parameter is particularly useful when dealing with large datasets, as it allows you to control the volume of data being handled at once, thereby optimizing performance and resource usage. The batch_size parameter has a default value of 1, with a minimum value of 1 and a maximum value of 10000. Adjusting this parameter can significantly impact the efficiency of your workflow, especially in scenarios involving extensive data processing.

FlowBuilder (adv) Output Parameters:

value

The value output parameter represents the processed data that has been passed through the FlowBuilder (adv) node. This output is crucial as it serves as the input for subsequent nodes in your workflow, ensuring a continuous and coherent flow of information. The value output retains the same type as the input value, making it versatile and compatible with various data types. This parameter is essential for maintaining the integrity and consistency of your data throughout the workflow.

FlowBuilder (adv) Usage Tips:

• To optimize performance, adjust the batch_size parameter according to the size of your dataset. Larger batch sizes can improve efficiency but may require more memory.
• Use the FlowBuilder (adv) node to manage and streamline complex workflows by ensuring that data is consistently processed and passed to subsequent nodes.
• Ensure that the value parameter is correctly set to the data type required by your workflow to avoid compatibility issues.

FlowBuilder (adv) Common Errors and Solutions:

No value assigned for key: <key>, inputs: <kwargs>

• Explanation: This error occurs when the value parameter is not provided or is missing in the input.
• Solution: Ensure that the value parameter is correctly set and provided as input to the FlowBuilder (adv) node.

Invalid batch_size value

• Explanation: This error occurs when the batch_size parameter is set to a value outside the allowed range (1 to 10000).
• Solution: Adjust the batch_size parameter to a value within the valid range to ensure proper functioning of the node.

Data type mismatch

• Explanation: This error occurs when the value parameter is set to a data type that is incompatible with the subsequent nodes in the workflow.
• Solution: Verify that the value parameter is set to the correct data type required by your workflow to avoid compatibility issues.