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Versatile node streamlining image selection and processing for Controlnet preprocessors, enhancing efficiency and accuracy.
The Aegisflow controlnet preprocessor bus is a versatile node designed to streamline the selection and processing of images within a workflow. Its primary function is to act as an input switch for Controlnet preprocessors, allowing you to choose a specific input image that will be utilized throughout the workflow. This node is particularly beneficial for managing multiple image inputs and ensuring that the correct image is processed by the Controlnet preprocessor, thereby enhancing the efficiency and accuracy of your image processing tasks. By providing a centralized control point, the Aegisflow controlnet preprocessor bus simplifies the workflow configuration and ensures that the desired image is consistently used, reducing the potential for errors and improving overall workflow management.
The input_image
parameter allows you to specify the image that will be processed by the Controlnet preprocessor. This parameter is crucial as it determines which image will be used in the workflow, ensuring that the correct image is selected for processing. The impact of this parameter is significant, as it directly influences the output of the workflow. There are no specific minimum or maximum values for this parameter, as it accepts any valid image input. The default value is typically set to None
, meaning no image is selected by default.
The processed_image
parameter represents the image that has been processed by the Controlnet preprocessor. This output is essential as it provides the final image that has undergone the specified preprocessing steps. The processed image is the result of the workflow and can be used for further analysis or as a final output. The interpretation of this parameter is straightforward: it is the image that has been selected and processed based on the input parameters.
input_image
to avoid processing the wrong image in your workflow.input_image
parameter.input_image
parameter before running the workflow.input_image
parameter.© Copyright 2024 RunComfy. All Rights Reserved.