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Facilitates debugging by logging conditioning data details for AI artists to troubleshoot efficiently.
The KfDebug_Cond node is designed to facilitate the debugging process by allowing you to inspect and log the details of conditioning data as it passes through your workflow. This node is particularly useful for AI artists who need to understand the intermediate states of their conditioning data, ensuring that the data is being processed correctly at each stage. By providing a clear and detailed log of the conditioning data, KfDebug_Cond helps you identify and troubleshoot issues more efficiently, ultimately leading to more accurate and refined outputs in your AI art projects.
The item parameter represents the conditioning data that you want to inspect. This data is passed through the node and logged for debugging purposes. The item parameter is required and must be of the type CONDITIONING. This ensures that the node receives the correct type of data for inspection.
The label parameter is a string that allows you to add a custom label to the log entry. This can be particularly useful for identifying different stages or sources of conditioning data in your workflow. The label parameter supports multiline input and has a default value of "debugging passthrough". This parameter is optional but highly recommended for better clarity in your logs.
The output of the KfDebug_Cond node is the same conditioning data that was passed in as the item parameter. This allows the data to continue through the workflow without any modifications. The primary purpose of this node is to log and inspect the data, not to alter it. The output type is CONDITIONING, ensuring compatibility with subsequent nodes that require conditioning data.
label parameter to easily identify and differentiate between various stages of your conditioning data in the logs.KfDebug_Cond node at critical points in your workflow where you suspect issues might be occurring to gain insights into the data at those specific stages.KfDebug_Cond nodes in a complex workflow to create a comprehensive log of the conditioning data's journey, making it easier to pinpoint where things might be going wrong.item parameter is not of the type CONDITIONING.item parameter is of the correct type. Check the upstream nodes to verify that they are outputting conditioning data.label parameter was not provided, which might make it harder to identify the log entry.label parameter is optional, it is recommended to provide a meaningful label to make the logs more informative. Add a label to the label parameter to resolve this warning.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.