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Facilitates loading, processing, and preparing images from a specified folder for efficient manipulation and analysis.
The Load Image From Folder
node is designed to facilitate the loading of images from a specified folder, making it an essential tool for AI artists who need to work with multiple images efficiently. This node reads images from a folder, processes them to ensure they are in the correct format, and prepares them for further manipulation or analysis. It supports various image formats and handles image sequences, ensuring that all images are uniformly processed. This node is particularly useful for batch processing tasks, where consistency in image dimensions and formats is crucial. By automating the image loading process, it saves time and reduces the potential for errors, allowing you to focus on creative tasks.
The image
parameter specifies the path to the image file or folder containing the images you want to load. This parameter is crucial as it directs the node to the correct location of your image assets. The path should be accurate and accessible to ensure the node can successfully read the images. There are no specific minimum or maximum values for this parameter, but it must be a valid path string.
The output_image
parameter provides the loaded image(s) in a format ready for further processing. This output is a tensor representation of the image(s), normalized to a range of 0 to 1. The images are converted to RGB format and are consistent in dimensions, making them suitable for subsequent nodes in your workflow.
The output_mask
parameter provides the mask(s) associated with the loaded image(s). If the image contains an alpha channel, this mask represents the transparency information, normalized to a range of 0 to 1. If no alpha channel is present, a default mask of zeros is provided. This output is useful for tasks that require image segmentation or transparency handling.
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