ComfyUI Node: 🔥 FlowBuilder

🔥 FlowBuilder:

The FlowBuilder node is designed to facilitate the seamless flow of data within your AI art generation pipeline. It acts as a conduit, ensuring that the data you input is passed through without alteration, making it an essential component for maintaining the integrity of your workflow. This node is particularly useful when you need to manage and organize the flow of data between different stages of your creative process. By using FlowBuilder, you can ensure that your data is consistently and accurately transferred, which is crucial for achieving high-quality results in your AI art projects.

🔥 FlowBuilder Input Parameters:

value

The value parameter is the primary input for the FlowBuilder node. It accepts any type of data, making it highly versatile and adaptable to various use cases. This parameter is essential as it represents the data that will be passed through the node. The value parameter does not have a default value, and its impact on the node's execution is direct, as it determines the data that will be outputted by the node.

batch_size

The batch_size parameter is an optional input that specifies the number of data items to be processed in a single batch. It accepts integer values with a minimum of 1 and a maximum of 10,000, with a default value of 1. This parameter is useful when you need to process multiple items simultaneously, allowing for more efficient data handling and potentially speeding up your workflow. Adjusting the batch_size can help optimize the node's performance based on the specific requirements of your project.

prompt

The prompt parameter is a hidden input that is not typically visible to the user. It is used internally to manage additional data or metadata associated with the workflow. This parameter does not require user input and is managed by the system.

extra_pnginfo

The extra_pnginfo parameter is another hidden input that stores extra information related to PNG files. This parameter is used internally and does not require user input.

unique_id

The unique_id parameter is a hidden input that assigns a unique identifier to each instance of the node. This is useful for tracking and managing nodes within complex workflows. Like the other hidden parameters, it is managed by the system and does not require user input.

🔥 FlowBuilder Output Parameters:

value

The value parameter is the primary output of the FlowBuilder node. It returns the same data that was inputted through the value parameter, ensuring that the data flow remains consistent and unaltered. This output is crucial for maintaining the integrity of your workflow, as it allows you to pass data through different stages without any modifications. The value output ensures that the data you input is the data you receive, making it a reliable component in your AI art generation pipeline.

🔥 FlowBuilder Usage Tips:

• Use the FlowBuilder node to maintain the integrity of your data as it passes through different stages of your workflow.
• Adjust the batch_size parameter to optimize the node's performance based on the specific requirements of your project. For instance, increasing the batch size can speed up processing when dealing with large datasets.
• Leverage the hidden parameters like prompt, extra_pnginfo, and unique_id for advanced workflow management, although these are typically handled by the system.

🔥 FlowBuilder Common Errors and Solutions:

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

• Explanation: This error occurs when the value parameter is not provided, and the node cannot find any data to pass through.
• Solution: Ensure that you provide a valid input for the value parameter. Double-check your workflow to confirm that the data is correctly connected to the FlowBuilder node.

Invalid batch size

• Explanation: This error occurs when the batch_size parameter is set to a value 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, which is a safe starting point.

Unexpected data type for value

• Explanation: This error occurs when the value parameter receives data of an unexpected type.
• Solution: Ensure that the data type of the value parameter is consistent with the expected input type. The FlowBuilder node is designed to accept any type of data, so this error is rare but can occur in complex workflows.