ComfyUI Node: ⏸️ Paused. Select input, Pick 👇

⏸️ Paused. Select input, Pick 👇:

The Bjornulf_PickInput node is designed to facilitate dynamic input selection within a workflow, allowing you to choose from multiple inputs based on specific conditions or user interactions. This node is particularly useful in scenarios where you need to pause and resume workflows, making it adaptable to various creative processes. By leveraging this node, you can streamline your workflow by selecting the most appropriate input dynamically, thus enhancing flexibility and control over the data flow. The node operates by pausing the workflow until a specific input is selected, ensuring that the process only continues with the desired data. This capability is essential for complex workflows where decision-making is required at different stages, providing a seamless and efficient way to manage multiple inputs.

⏸️ Paused. Select input, Pick 👇 Input Parameters:

number_of_inputs

The number_of_inputs parameter specifies the total number of inputs available for selection. It allows you to define how many potential inputs the node can choose from, with a minimum value of 1 and a maximum of 10. The default value is set to 2, which means the node will initially consider two inputs unless otherwise specified. Adjusting this parameter impacts the node's ability to handle multiple data streams, making it crucial for workflows that require flexibility in input selection.

seed

The seed parameter is an integer that influences the randomization process within the node. It ensures that the selection process can be replicated by providing a consistent starting point for random operations. The default value is 1, and while there are no explicit minimum or maximum values mentioned, it typically accepts any integer. This parameter is essential for maintaining consistency across different runs of the workflow, especially when the selection process involves randomness.

input_1, input_2, ..., input_10

These parameters represent the potential inputs that the node can select from. Each input is defined as Everything("*"), indicating that they can accept any type of data. The inputs are hidden by default but can be forced into the workflow as needed. These inputs are crucial for the node's operation, as they provide the data from which the node will make its selection based on the specified conditions.

⏸️ Paused. Select input, Pick 👇 Output Parameters:

output

The output parameter represents the selected input value that the node returns after processing. It is defined as Everything("*"), meaning it can be any data type, depending on the input selected. This output is critical as it determines the data that will be passed on to subsequent nodes in the workflow, ensuring that the correct information is used for further processing.

⏸️ Paused. Select input, Pick 👇 Usage Tips:

• Ensure that the number_of_inputs parameter accurately reflects the number of inputs you intend to use, as this will prevent errors related to missing inputs.
• Utilize the seed parameter to maintain consistency across different runs, especially if your workflow relies on random input selection.

⏸️ Paused. Select input, Pick 👇 Common Errors and Solutions:

Selected input '<input_name>' not found in kwargs

• Explanation: This error occurs when the specified input is not available in the provided keyword arguments (kwargs).
• Solution: Verify that the input name matches one of the defined inputs and that it is included in the kwargs passed to the node.

Workflow stopped by user

• Explanation: This message indicates that the workflow was manually stopped by the user.
• Solution: If this was unintentional, ensure that the stop command was not triggered accidentally. Otherwise, resume the workflow when ready to continue.