ComfyUI Node: 🔥(adv) FlowBuilder

FlowBuilder (advanced):

The FlowBuilder (advanced) node is designed to streamline and enhance the workflow of AI artists by providing a flexible and efficient way to manage and process data within a node-based system. This node is particularly useful for those who need to handle complex data flows and ensure that their creative processes are both organized and optimized. By leveraging the capabilities of FlowBuilder (advanced), you can easily manage the flow of data, apply batch processing, and maintain a high level of control over your artistic projects. This node is essential for creating intricate and dynamic workflows, allowing you to focus more on your creative output rather than the technical intricacies of data management.

FlowBuilder (advanced) Input Parameters:

value

This parameter accepts any type of input data that you wish to process through the FlowBuilder (advanced) node. The flexibility of this parameter allows you to input various data types, making it highly versatile for different creative tasks. The input data will be processed and managed according to the node's functionality, ensuring that your workflow remains efficient and organized.

batch_size

This optional parameter allows you to specify the number of items to be processed in a single batch. The default value is 1, with a minimum value of 1 and a maximum value of 10,000. Adjusting the batch size can significantly impact the performance and speed of your workflow. For instance, increasing the batch size can help process large datasets more quickly, while a smaller batch size may be more suitable for tasks requiring detailed attention to individual items.

FlowBuilder (advanced) Output Parameters:

value

The output parameter returns the processed data, which is of the same type as the input data. This ensures that the data you input into the FlowBuilder (advanced) node is returned in a managed and organized manner, ready for further processing or final output. The returned value reflects the node's ability to handle and streamline complex data flows, making it an essential component of your creative workflow.

FlowBuilder (advanced) Usage Tips:

• Utilize the batch_size parameter to optimize the performance of your workflow. For large datasets, increasing the batch size can help speed up the processing time.
• Ensure that the input data type is consistent with the expected output to avoid any discrepancies or errors in your workflow.
• Leverage the flexibility of the value parameter to experiment with different types of input data, allowing you to explore various creative possibilities.

FlowBuilder (advanced) Common Errors and Solutions:

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

• Explanation: This error occurs when the node does not receive a value for the specified key.
• Solution: Ensure that you provide a valid value for the key parameter in the input. Double-check the input parameters to confirm that all required values are correctly assigned.

Invalid batch size

• Explanation: This error occurs when the batch size is set outside the allowed range (1 to 10,000).
• Solution: Adjust the batch size parameter to a value within the allowed range. The default value is 1, so you can start with this and increase it as needed based on your workflow requirements.