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Facilitates loading and sorting multiple images for AI art projects, streamlining image dataset handling.
The ImageListLoader
node is designed to facilitate the loading of multiple images from a specified directory, providing a streamlined way to handle image datasets for various AI art projects. This node is particularly beneficial for artists and developers who need to work with large collections of images, as it automates the process of loading and sorting images based on user-defined criteria. By leveraging this node, you can efficiently manage image inputs, ensuring that they are organized and ready for further processing or analysis. The primary goal of the ImageListLoader
is to simplify the workflow of handling image data, making it accessible and manageable without requiring extensive technical knowledge.
The folder_path
parameter specifies the directory from which images will be loaded. It is crucial for defining the source location of your image dataset. This parameter must be a valid directory path, and it ensures that the node knows where to look for the images you intend to process. There are no default values, and the path must exist; otherwise, an error will be raised.
The file_filter
parameter allows you to define a pattern for selecting specific image files within the directory. This can be useful for filtering images by file type or naming conventions, ensuring that only relevant images are loaded. Common filters might include *.jpg
or *.png
to select specific image formats. There are no default values, and the filter must be a valid pattern.
The sort_method
parameter determines the order in which images are loaded. You can choose between numerical
or alphabetical
sorting, depending on how you want the images to be organized. This parameter impacts the sequence of image processing and can be crucial for tasks that require a specific order. The default value is not specified, and an invalid sort method will result in an error.
The images
output parameter provides a list of loaded images in the form of tensors. This output is essential for further processing in AI art projects, as it delivers the image data in a format that can be easily manipulated and analyzed. The images are returned in the order specified by the sort_method
, ensuring consistency and predictability in your workflow.
folder_path
is correctly specified and points to an existing directory to avoid errors.file_filter
to load only the necessary image formats, which can save processing time and resources.sort_method
based on your project's requirements to maintain the desired order of image processing.<folder_path>
does not exist.folder_path
does not point to a valid directory.folder_path
is correct and that the directory exists on your system.<sort_method>
sort_method
is provided.sort_method
is either numerical
or alphabetical
. Double-check for any typos or unsupported values.© Copyright 2024 RunComfy. All Rights Reserved.
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