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Node for maintaining integrity of conditioning data in AI art generation, ensuring consistency and stability throughout pipeline.
The ConditioningClamp node is designed to handle and process conditioning data within your AI art generation workflow. This node ensures that the conditioning data remains consistent and unaltered as it passes through various stages of your pipeline. By using the ConditioningClamp node, you can maintain the integrity of your conditioning inputs, which is crucial for achieving reliable and predictable results in your AI-generated art. This node is particularly useful when you need to ensure that the conditioning data is not inadvertently modified or corrupted, providing a stable and controlled environment for your creative processes.
The conditioning
parameter is the primary input for the ConditioningClamp node. It accepts data of type CONDITIONING
, which typically includes various conditioning information used to guide the AI model during the art generation process. This parameter ensures that the conditioning data is passed through the node without any modifications, preserving its original state. The integrity of this data is crucial for maintaining the desired influence on the AI model's output.
The conditioning
output parameter returns the same conditioning data that was input into the node. This ensures that the conditioning information remains unchanged and can be reliably used in subsequent stages of your workflow. By preserving the original conditioning data, the ConditioningClamp node helps maintain consistency and predictability in your AI art generation process.
conditioning
parameter is not of the expected CONDITIONING
type.CONDITIONING
type before passing it to the ConditioningClamp node.conditioning
parameter.conditioning
input is properly connected and that the data is available before executing the node.© Copyright 2024 RunComfy. All Rights Reserved.