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Streamline loading and managing image lists from directory for AI artists, automating file reading, conversion, and organization.
The CR Load Image List node is designed to streamline the process of loading and managing a list of images from a specified directory. This node is particularly useful for AI artists who need to work with multiple images simultaneously, as it automates the task of reading image files, converting them to a suitable format, and organizing them into a list for further processing. By leveraging this node, you can efficiently handle large batches of images, ensuring that they are correctly loaded and ready for use in your creative workflows. The node also includes error handling to alert you if the specified directory does not exist or is empty, making it a reliable tool for managing image data.
This parameter specifies the path to the directory containing the images you want to load. If provided, the node will use this path to locate the images. If not provided, the node will default to a predefined input directory. The input path must be a valid directory path; otherwise, the node will issue a warning and terminate the operation. This parameter is crucial for directing the node to the correct location of your image files.
If the input_path
is not specified, this parameter is used in conjunction with a predefined input directory to locate the images. It allows you to specify a subfolder within the default input directory. This parameter is useful when you have a structured directory setup and want to load images from a specific subfolder.
This parameter determines the starting point in the list of images to begin loading. It ensures that the loading process starts from a specific image, allowing you to skip a certain number of images if needed. The value must be within the bounds of the image list, with a minimum value of 0 and a maximum value equal to the total number of images minus one.
This parameter sets the maximum number of images to load from the specified directory. It helps in controlling the batch size of images being processed, which can be particularly useful when dealing with large datasets. The value must be a positive integer, and the node will load images up to this limit starting from the start_index
.
This output parameter provides a list of images that have been successfully loaded and converted to the appropriate format. Each image in the list is represented as a tensor, making it ready for further processing in your AI workflows. This output is essential for feeding the loaded images into subsequent nodes or operations.
This output parameter provides a URL link to the help documentation for the node. It is a useful resource for understanding the node's functionality, troubleshooting issues, and exploring additional features. The link directs you to a detailed wiki page that offers comprehensive guidance on using the node effectively.
input_path
or input_folder
is correctly specified to avoid errors related to missing directories.start_index
parameter to skip over images that you do not need, which can be useful for batch processing or iterative workflows.max_images
parameter based on your system's memory capacity to prevent overloading and ensure smooth processing.[Warning] CR Image List: The input_path \``<input_path>
` does not exist`input_path
does not point to a valid directory.input_path
is correct and that the directory exists. Correct any typos or provide the full path to the directory.[Warning] CR Image List: The folder \``<in_path>
` is empty` ⌨️ CR Load Image List: No images found.
input_path
and input_folder
parameters to ensure they point to a directory with image files. Verify that the directory is not empty and contains valid image files.© Copyright 2024 RunComfy. All Rights Reserved.