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Efficiently manage and process images in a specified folder by queuing them for structured batch processing.
The D2 Folder Image Queue node is designed to efficiently manage and process images stored within a specified folder. Its primary function is to queue images for processing, allowing you to handle multiple images in a structured manner. This node is particularly beneficial for tasks that require batch processing of images, such as applying filters or transformations to a series of images. By organizing images into a queue, it ensures that each image is processed in a systematic order, which can be sorted by name, date, or randomly. This node is essential for workflows that involve large sets of images, providing a streamlined approach to image management and processing.
This parameter specifies the directory path where the images are stored. It is crucial for the node to know where to look for the images to queue. The default value is an empty string, indicating that no folder is specified initially.
This parameter defines the file extension of the images to be processed, allowing you to filter images by type. The default value is *.*
, which means all file types are included. You can specify extensions like .jpg
or .png
to narrow down the selection.
This parameter determines the criteria for sorting the images in the queue. Options include "Name", "Date", and "Random", with "Name" being the default. Sorting by name or date can help maintain a logical order, while random sorting can be useful for varied processing.
This parameter sets the order in which the images are sorted, either "A-Z" or "Z-A". The default is "A-Z", which sorts images in ascending order. This can be adjusted to suit your processing needs, such as reversing the order for specific tasks.
This parameter indicates the starting index for processing images in the queue. It is an integer with a default value of 0, allowing you to skip a certain number of images if needed.
This boolean parameter determines whether the images should be automatically queued for processing. Enabling this feature can streamline workflows by automatically managing the queue without manual intervention.
This optional parameter provides a simple text display of the total number of images in the queue. It helps in understanding the scope of the batch processing task.
This optional parameter is used to seed the random sorting of images, ensuring reproducibility in cases where images are sorted randomly.
This optional parameter, when enabled, displays a progress bar to visually indicate the progress of the image processing task, enhancing user experience by providing feedback on task completion.
This optional parameter provides a button to refresh the image queue, allowing you to update the list of images if changes are made to the folder contents.
This output parameter provides the file path of the current image being processed. It is essential for identifying which image is currently in the queue and being worked on.
This output parameter indicates the total number of images in the queue. It is useful for understanding the size of the batch and tracking progress through the queue.
sort_by
and order_by
parameters to organize images in a way that best suits your processing needs, such as chronological order for time-based tasks.auto_queue
feature to automate the queuing process, saving time and reducing manual effort.refresh_btn
to update the queue if new images are added to the folder during processing.start_at
index exceeds the number of images in the queue.start_at
parameter to a valid index within the range of available images.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.