Visit ComfyUI Online for ready-to-use ComfyUI environment
Facilitates batch loading of images from specified paths for AI artists, with customizable parameters and loading directions.
The JDCN_BatchImageLoadFromList
node is designed to facilitate the batch loading of images from a specified list of file paths. This node is particularly useful for AI artists who need to process multiple images in a structured and efficient manner. By specifying parameters such as the batch size, index, and direction, you can control how images are loaded and processed. The node supports various loading directions, including top-to-bottom, bottom-to-top, and random, providing flexibility in how batches are created. This functionality is essential for tasks that require handling large sets of images, such as training machine learning models or generating art from multiple sources.
This parameter expects a string that represents a list of file paths to the images you want to load. It is a required input and must be provided for the node to function correctly. The list should be formatted as a single string with paths separated by commas or another delimiter.
The Index
parameter is an integer that specifies the starting point for loading images from the list. It has a default value of 1, with a minimum value of 1 and a maximum value of 9999. This parameter allows you to control which part of the list to start loading images from, making it easier to manage large datasets.
The BatchSize
parameter determines the number of images to load in each batch. It is an integer with a default value of 5, a minimum value of 0, and a maximum value of 9999. This parameter is crucial for controlling the size of each batch, allowing you to process images in manageable chunks.
The BatchDirection
parameter specifies the direction in which images are loaded from the list. It offers three options: "TOPTOBOTTOM", "BOTTOMTOTOP", and "RANDOM". This parameter provides flexibility in how batches are created, enabling different loading strategies based on your specific needs.
This output contains the loaded images in the form of a list. Each image is represented in a format suitable for further processing or analysis. This output is essential for any subsequent operations that require the actual image data.
The ImageNames
output provides a list of the names of the loaded images. This is useful for keeping track of which images have been processed, especially when dealing with large datasets.
The ImagePaths
output returns a list of the file paths of the loaded images. This is helpful for referencing the original files and for any operations that may require the file paths.
The Index
output returns the index from which the images were loaded. This is useful for tracking the progress of batch loading, especially when processing large lists of images.
PathList
is correctly formatted and contains valid file paths to avoid errors during image loading.BatchSize
according to your system's memory capacity to prevent overloading and ensure smooth processing.BatchDirection
parameter to experiment with different loading strategies and find the one that best suits your workflow.{'TOPTOBOTTOM', 'BOTTOMTOTOP', 'RANDOM'}
."BatchDirection
parameter.BatchDirection
parameter is set to one of the valid options: "TOPTOBOTTOM", "BOTTOMTOTOP", or "RANDOM".PathList
parameter is empty or not provided.PathList
parameter.Index
is outside the range of the PathList
.Index
parameter to a value within the range of the list of file paths provided in the PathList
.© Copyright 2024 RunComfy. All Rights Reserved.