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Streamline image handling in ComfyUI with CRZImageSelector: load, count, batch, resize, concatenate for AI artists.
The CRZImageSelector node is designed to streamline the process of handling multiple images within the ComfyUI environment. Its primary function is to load up to six images, count the number of non-empty images, and create a batch of these images for further processing. This node is particularly beneficial for AI artists who need to manage and manipulate multiple images simultaneously, as it simplifies the task of ensuring all images are of compatible dimensions and formats. By automatically resizing and concatenating images, the CRZImageSelector ensures a seamless workflow, allowing you to focus on creative tasks without worrying about technical inconsistencies between images.
This parameter accepts a string representing the file path to the first image. It is crucial for loading the image into the node for processing. The default value is an empty string, indicating no image is loaded. Ensure the path is correct and the file exists to avoid errors.
Similar to image_1, this parameter takes a string for the file path to the second image. It functions identically, allowing you to load another image for batch processing. The default is an empty string.
This parameter is for the third image's file path, following the same format and function as the previous image parameters. It defaults to an empty string.
This parameter accepts the file path for the fourth image, continuing the pattern of the previous parameters. It defaults to an empty string.
This parameter is used for the fifth image's file path, allowing you to include another image in the batch. The default is an empty string.
This parameter takes the file path for the sixth image, completing the set of images you can load into the node. It defaults to an empty string.
This output returns the first image loaded into the node. It is crucial for verifying that the image has been correctly processed and is ready for further use.
This output provides the second image, ensuring it has been successfully loaded and processed.
This output returns the third image, confirming its readiness for subsequent operations.
This output provides the fourth image, indicating it has been correctly handled by the node.
This output returns the fifth image, ensuring it is available for further processing.
This output provides the sixth image, confirming its successful inclusion in the batch.
This output is an integer representing the number of non-empty images loaded into the node. It is essential for understanding how many images are actively being processed.
This output is a batch of all non-empty images, concatenated and resized as necessary. It is crucial for any operations that require a unified set of images, such as batch processing or analysis.
image_count output to dynamically adjust your workflow based on the number of images processed.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Models, enabling artists to harness the latest AI tools to create incredible art.