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Facilitates loading images from folder into list for easy management and iteration, ideal for batch processing and sequential manipulation.
The "Load Images into List" node is designed to facilitate the loading of images from a specified output folder into a list format, making it easier for you to manage and iterate through multiple images. This node is particularly beneficial for tasks that require batch processing or sequential image manipulation, as it allows you to quickly refresh and update the list of images, automatically selecting the first image for immediate use. This functionality is especially useful in workflows where images are frequently updated or replaced, ensuring that you always have access to the most current set of images without manual intervention. The node's ability to handle images efficiently makes it an essential tool for AI artists looking to streamline their creative processes.
The image
parameter is a required input that specifies the source from which images will be loaded. It offers a variety of options, including uploading an image directly, selecting from an image folder labeled "output," or accessing images remotely via a specified route. This flexibility allows you to choose the most convenient method for your workflow, whether you're working with local files or need to access images stored on a server. The parameter also includes a refresh button, which, when clicked, updates the image list and automatically selects the first image. This feature is particularly useful for ensuring that you are working with the latest images available, especially in dynamic environments where images are frequently updated.
The output_image
parameter represents the primary image loaded from the specified source. This output is crucial as it serves as the main visual content that you will work with in subsequent processing steps. The image is typically converted into a format suitable for further manipulation, ensuring compatibility with various image processing techniques.
The output_mask
parameter provides a mask associated with the loaded image, which is used to define areas of interest or exclusion within the image. This mask is essential for tasks that require selective processing, such as applying effects to specific regions or isolating objects within the image. The mask is generated based on the image's alpha channel or transparency information, ensuring accurate representation of the intended areas.
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