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Facilitates loading images from output folder, streamlining access and selection for AI artists.
The LoadImageOutput
node is designed to facilitate the loading of images from a designated output folder, making it an essential tool for AI artists who frequently work with generated images. This node streamlines the process of accessing images by automatically updating the list of available images whenever the refresh button is clicked, and it conveniently selects the first image in the list for immediate use. This feature is particularly beneficial for iterative workflows, where you may need to quickly review and utilize the latest outputs from your creative processes. The node's experimental status indicates that it is a cutting-edge feature, potentially offering innovative functionalities that are still being refined. Overall, LoadImageOutput
enhances efficiency by simplifying the image retrieval process, allowing you to focus more on your creative tasks rather than managing files.
The image
parameter is a crucial input for the LoadImageOutput
node, allowing you to specify the source from which the image will be loaded. This parameter is configured as a combo box with options that include image_upload
, image_folder
, and remote
. The image_upload
option enables you to directly upload an image, while image_folder
points to the output
directory where generated images are stored. The remote
option provides advanced functionality by allowing you to fetch images from a specified route (/internal/files/output
), with a refresh button to update the image list and automatically select the first image. This setup is designed to offer flexibility and ease of use, ensuring that you can efficiently access and work with the images you need.
The context does not provide specific output parameters for the LoadImageOutput
node. However, based on its functionality, it is likely that the node outputs the loaded image data, which can then be used in subsequent nodes or processes. This output would typically be in a format compatible with other nodes in the workflow, allowing for seamless integration and further manipulation of the image.
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