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Facilitates batch image selection with user-friendly interface, enhancing efficiency and precision in image processing tasks.
The easy imageChooser node is designed to facilitate the selection of images from a batch, providing a user-friendly interface for choosing specific images based on your preferences. This node is particularly useful when working with multiple images and needing to select the best ones for further processing or saving. It streamlines the workflow by allowing you to pause and make selections, ensuring that only the most relevant images are used in subsequent steps. The easy imageChooser node enhances efficiency and precision in image processing tasks, making it an essential tool for AI artists who work with large sets of images.
The mode
parameter determines the behavior of the image selection process. It offers options such as Always Pause
and Keep Last Selection
. Always Pause
will prompt you to make a selection every time the node is executed, ensuring you have control over the images chosen. Keep Last Selection
will remember your previous selections and use them, which can save time if you are repeatedly processing similar batches of images. This parameter helps tailor the node's functionality to your workflow needs.
The images
parameter is an optional input that accepts a batch of images. If provided, these images will be used for the selection process. If not provided, the node will operate in read-from-stash mode, using previously stored images. This flexibility allows you to either input new images directly or rely on stored images for selection, depending on your current task requirements.
The prompt
parameter is a hidden input that stores the prompt information associated with the images. This can be useful for keeping track of the context or instructions related to the image batch, ensuring that the selection process aligns with the intended use of the images.
The my_unique_id
parameter is a hidden input that uniquely identifies the current selection session. This ensures that the selections are correctly associated with the specific batch of images being processed, preventing any mix-ups or errors in the selection process.
The extra_pnginfo
parameter is a hidden input that stores additional metadata related to the images. This can include information such as the workflow or previous selections, which can be useful for maintaining consistency and context in the image selection process.
The image
output parameter provides the selected images from the batch. This output is crucial as it contains the images you have chosen, ready for further processing or saving. The selected images are returned as a tensor, ensuring they are in a format suitable for subsequent nodes or operations in your workflow.
mode
parameter to control the selection process based on your workflow needs. For instance, use Always Pause
for manual selection and Keep Last Selection
for automated workflows.images
parameter is correctly populated if you want to input new images directly. If not, make sure the node is set up to read from the stash.prompt
and extra_pnginfo
parameters to maintain context and metadata, which can be helpful for complex workflows involving multiple image batches.extra_pnginfo
parameter is expected to contain metadata but is found to be empty.extra_pnginfo
parameter is correctly populated with the necessary metadata before executing the node.extra_pnginfo
parameter does not contain the expected dictionary format or is missing the 'workflow' key.extra_pnginfo
parameter is correctly formatted as a dictionary and includes the 'workflow' key with the appropriate metadata.© Copyright 2024 RunComfy. All Rights Reserved.