ComfyUI  >  Nodes  >  AegisFlow Utility Nodes >  controlnet preprocessor bus

ComfyUI Node: controlnet preprocessor bus

Class Name

Aegisflow controlnet preprocessor bus

Category
AegisFlow/passers
Author
Aegis72 (Account age: 701 days)
Extension
AegisFlow Utility Nodes
Latest Updated
10/3/2024
Github Stars
0.0K

How to Install AegisFlow Utility Nodes

Install this extension via the ComfyUI Manager by searching for  AegisFlow Utility Nodes
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter AegisFlow Utility Nodes in the search bar
After installation, click the  Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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controlnet preprocessor bus Description

Versatile node streamlining image selection and processing for Controlnet preprocessors, enhancing efficiency and accuracy.

controlnet preprocessor bus:

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.

controlnet preprocessor bus Input Parameters:

input_image

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.

controlnet preprocessor bus Output Parameters:

processed_image

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.

controlnet preprocessor bus Usage Tips:

  • Ensure that you select the correct input_image to avoid processing the wrong image in your workflow.
  • Use this node to manage multiple image inputs efficiently, especially when dealing with complex workflows that require precise image selection.

controlnet preprocessor bus Common Errors and Solutions:

"No input image selected"

  • Explanation: This error occurs when no image has been specified in the input_image parameter.
  • Solution: Ensure that you provide a valid image input in the input_image parameter before running the workflow.

"Invalid image format"

  • Explanation: This error indicates that the provided image is in an unsupported format.
  • Solution: Convert the image to a supported format (e.g., JPEG, PNG) and re-upload it to the input_image parameter.

"Image processing failed"

  • Explanation: This error occurs when the Controlnet preprocessor encounters an issue while processing the image.
  • Solution: Check the image for any corruption or issues and ensure that the Controlnet preprocessor is configured correctly. If the problem persists, try using a different image.

controlnet preprocessor bus Related Nodes

Go back to the extension to check out more related nodes.
AegisFlow Utility Nodes
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