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Facilitates loading images from directories for AI artists, enhancing workflow efficiency in ComfyUI.
The LG_LoadImage node is designed to facilitate the loading of images from specified directories, such as the output folder, into your workflow. This node is particularly useful for AI artists who need to iterate quickly over image outputs, as it allows for seamless integration of images into subsequent processing steps. By providing a straightforward method to access and load images, LG_LoadImage enhances the efficiency of your creative process, enabling you to focus more on the artistic aspects rather than the technicalities of file management. The node's functionality is centered around the load_image
method, which ensures that images are loaded accurately and efficiently, maintaining their quality and metadata. This node is an essential tool for those looking to streamline their image processing tasks within the ComfyUI environment.
The image
parameter is a critical input for the LG_LoadImage node, allowing you to specify the source of the image you wish to load. This parameter is configured as a "COMBO" type, which means it provides a dropdown menu with options for image selection. You can choose to upload an image directly, select from images stored in the "output" folder, or even access images from a remote source via a specified route. The inclusion of a refresh button ensures that the image list is always up-to-date, automatically selecting the first image upon refresh to facilitate quick iterations. This parameter does not have minimum or maximum values but offers flexibility in image selection, making it adaptable to various workflow needs.
The output_image
parameter represents the primary output of the LG_LoadImage node. It provides the loaded image in a format ready for further processing or analysis. This output is crucial for integrating the image into subsequent nodes within your workflow, ensuring that the image's quality and metadata are preserved. The output_image
serves as the foundation for any image manipulation or enhancement tasks you may wish to perform, making it an indispensable component of the image processing pipeline.
The output_mask
parameter is an additional output that accompanies the output_image
. It provides a mask associated with the loaded image, which can be used for various purposes such as isolating specific regions of the image for targeted processing or analysis. The mask is particularly useful in scenarios where you need to apply effects or transformations selectively, enhancing the precision and control over your image editing tasks. This output ensures that you have all the necessary components to execute complex image processing operations effectively.
image
parameter's flexibility to streamline your workflow by selecting images directly from the output folder or uploading new ones as needed.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.