ComfyUI Node: KfConditioningAddx10

KfConditioningAddx10:

The KfConditioningAddx10 node is designed to combine multiple conditioning inputs into a single output. This node is particularly useful in scenarios where you need to aggregate various conditioning data points to create a more comprehensive conditioning output. By summing the tensor values and pooling outputs from multiple conditioning inputs, this node helps in enhancing the conditioning data, making it more robust and versatile for further processing. The primary goal of this node is to facilitate the integration of up to ten different conditioning inputs, ensuring that the resulting conditioning output is a well-rounded combination of all provided inputs.

KfConditioningAddx10 Input Parameters:

cond_0

This is a required input parameter that represents the primary conditioning input. It is of type CONDITIONING and must be provided for the node to function. This input serves as the base conditioning data to which other optional conditioning inputs will be added.

cond_1

This is an optional input parameter of type CONDITIONING. If provided, its tensor values and pooled output will be added to those of cond_0. The default value is 0, meaning it will not contribute to the output if not explicitly provided.

cond_2

This is an optional input parameter of type CONDITIONING. Similar to cond_1, its values will be added to cond_0 if provided. The default value is 0.

cond_3

This is an optional input parameter of type CONDITIONING. It follows the same behavior as cond_1 and cond_2, with a default value of 0.

cond_4

This is an optional input parameter of type CONDITIONING. It will be added to cond_0 if provided, with a default value of 0.

cond_5

This is an optional input parameter of type CONDITIONING. It will be added to cond_0 if provided, with a default value of 0.

cond_6

This is an optional input parameter of type CONDITIONING. It will be added to cond_0 if provided, with a default value of 0.

cond_7

This is an optional input parameter of type CONDITIONING. It will be added to cond_0 if provided, with a default value of 0.

cond_8

This is an optional input parameter of type CONDITIONING. It will be added to cond_0 if provided, with a default value of 0.

cond_9

This is an optional input parameter of type CONDITIONING. It will be added to cond_0 if provided, with a default value of 0.

KfConditioningAddx10 Output Parameters:

CONDITIONING

The output parameter is of type CONDITIONING. It represents the combined conditioning data resulting from the addition of all provided conditioning inputs. The output includes the summed tensor values and the aggregated pooled outputs, making it a comprehensive conditioning output ready for further processing.

KfConditioningAddx10 Usage Tips:

• Ensure that cond_0 is always provided, as it is the base conditioning input required for the node to function.
• Utilize the optional conditioning inputs (cond_1 to cond_9) to enhance the conditioning output by providing additional data points.
• If you do not have additional conditioning inputs, you can leave the optional parameters at their default values (0), and the node will still function correctly.

KfConditioningAddx10 Common Errors and Solutions:

"TypeError: 'NoneType' object is not iterable"

• Explanation: This error occurs when one of the conditioning inputs is not provided or is None.
• Solution: Ensure that all required conditioning inputs are provided and are of the correct type.

"AssertionError: Length of conditioning inputs do not match"

• Explanation: This error occurs when the lengths of the provided conditioning inputs do not match.
• Solution: Verify that all conditioning inputs have the same length before passing them to the node.

"KeyError: 'pooled_output'"

• Explanation: This error occurs when the pooled_output key is missing in one of the conditioning inputs.
• Solution: Ensure that all conditioning inputs include the pooled_output key in their dictionaries.