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Finalizes iterative image manipulation within a loop structure.
The CyberEve_SingleImageLoopClose
node is designed to finalize the iterative process of image manipulation within a loop structure. It serves as the closing counterpart to the loop, ensuring that the iterative modifications applied to an image are properly concluded and the final results are outputted. This node is particularly useful in scenarios where multiple iterations are required to achieve a desired effect or transformation on an image. By managing the loop's closure, it helps maintain the integrity of the iterative process, ensuring that the final image and any associated mask are accurately produced. This node is essential for artists who need to apply complex, multi-step transformations to images, as it provides a structured way to conclude the iterative process and retrieve the final outputs.
The flow_control
parameter is a required input that manages the flow of the loop process. It acts as a control mechanism to ensure that the loop operates correctly and concludes at the appropriate time. This parameter is crucial for maintaining the sequence and logic of the loop, ensuring that the iterative process is executed as intended.
The current_image
parameter is a required input that represents the image currently being processed in the loop. This image is the result of the most recent iteration and is used as the basis for any further transformations or final output. It is essential for tracking the progress of the image through the loop and ensuring that the final output reflects all applied changes.
The max_iterations
parameter is a required input that specifies the maximum number of iterations the loop should perform. This integer value is crucial for controlling the loop's duration and preventing infinite loops. By setting a limit on the number of iterations, this parameter helps manage computational resources and ensures that the process concludes in a timely manner.
The current_mask
parameter is an optional input that represents the mask associated with the current image. This mask can be used to apply selective transformations or effects to specific areas of the image. Including a mask allows for more precise control over the image manipulation process, enabling artists to achieve targeted results.
The dynprompt
parameter is a hidden input that serves as a dynamic prompt for internal processing. It is not typically modified by the user but is used by the system to manage and track the loop's execution.
The unique_id
parameter is a hidden input that provides a unique identifier for the loop instance. This identifier is used internally to distinguish between different loop processes and ensure that each loop operates independently.
The iteration_count
parameter is a hidden input that tracks the current iteration number within the loop. It is initialized to 0 by default and is incremented with each iteration. This parameter is essential for monitoring the loop's progress and ensuring that it operates within the specified limits.
The final_image
output parameter represents the image that results from the completion of the loop process. This image reflects all the transformations and modifications applied during the iterations, providing the final visual output of the loop. It is the primary result that artists will use or further process in their creative workflows.
The final_mask
output parameter represents the mask associated with the final image. This mask reflects any selective transformations applied during the loop and can be used for further processing or analysis. It provides additional context and control over the final image, enabling more nuanced artistic effects.
max_iterations
parameter is set appropriately to prevent excessive computation and to achieve the desired level of transformation.current_mask
parameter to apply targeted effects to specific areas of the image, enhancing the creative possibilities of the loop process.max_iterations
parameter to ensure it is set to a reasonable value that matches your intended process.current_image
input is not in the expected format or is missing.current_image
parameter is correctly set and that the image is in the appropriate format for processing.flow_control
parameter, potentially disrupting the loop's execution.flow_control
parameter is properly configured and linked to the correct flow control mechanism.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.