ComfyUI Node: KfDebug_Image

KfDebug_Image:

The KfDebug_Image node is designed to facilitate the debugging process by allowing you to inspect and log detailed information about image data as it passes through your workflow. This node is particularly useful for AI artists and developers who need to understand the characteristics and transformations of image data at various stages of their pipeline. By providing a clear and structured way to log image properties, such as dimensions, data types, and modes, KfDebug_Image helps you ensure that your image data is being processed correctly and can assist in identifying any issues or anomalies.

KfDebug_Image Input Parameters:

item

The item parameter represents the image data that you want to inspect and log. This parameter is required and must be of the type IMAGE. The item parameter allows the node to access the image data and extract relevant information such as dimensions, data types, and modes. This information is then logged for debugging purposes. There are no specific minimum, maximum, or default values for this parameter, as it simply represents the image data being passed through the node.

label

The label parameter is a string that allows you to add a custom label or description to the log entries generated by the node. This parameter is optional but can be very useful for adding context to the logged information, making it easier to identify and understand the data being inspected. The label parameter supports multiline input, allowing you to provide detailed descriptions if needed. The default value for this parameter is "debugging passthrough".

KfDebug_Image Output Parameters:

item

The item output parameter returns the same image data that was passed into the node. This allows the image data to continue through the workflow without any modifications. The primary purpose of this output is to ensure that the debugging process does not interfere with the normal flow of data. By returning the original image data, the KfDebug_Image node ensures that your workflow remains intact while still providing valuable debugging information.

KfDebug_Image Usage Tips:

• Use the label parameter to add meaningful descriptions to your log entries, making it easier to identify and understand the data being inspected.
• Place the KfDebug_Image node at various points in your workflow to monitor and log the state of your image data at different stages of processing.
• Combine the KfDebug_Image node with other debugging nodes to get a comprehensive view of your data pipeline and identify any issues or anomalies.

KfDebug_Image Common Errors and Solutions:

"TypeError: item is not of type IMAGE"

• Explanation: This error occurs when the item parameter is not of the expected type IMAGE.
• Solution: Ensure that the data being passed to the item parameter is a valid image. Check the upstream nodes to verify that they are producing image data.

"AttributeError: 'NoneType' object has no attribute 'shape'"

• Explanation: This error occurs when the item parameter is None or does not have the expected attributes.
• Solution: Verify that the item parameter is not None and that it is a valid image object with the necessary attributes. Check the upstream nodes to ensure they are producing valid image data.

"ValueError: Invalid label format"

• Explanation: This error occurs when the label parameter contains invalid characters or formatting.
• Solution: Ensure that the label parameter is a valid string and does not contain any unsupported characters or formatting. Use simple and clear text for the label.