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Facilitates image loading and processing for AI art projects, handling various formats and transformations.
The ImageGetter node is designed to facilitate the loading and processing of images within your AI art projects. This node is particularly useful for artists who need to import images into their workflows, ensuring that the images are correctly formatted and ready for further manipulation. The node handles various image formats, applies necessary transformations, and prepares the images for subsequent processing steps. By using ImageGetter, you can streamline your image handling process, making it easier to integrate external images into your creative projects.
The image
parameter specifies the path to the image file you want to load. This parameter is crucial as it determines which image will be imported into your workflow. The path should be a valid file path pointing to an image file on your system. The node supports various image formats, but some formats like 'MPO' are excluded. Ensure that the image path is correct to avoid errors during the loading process.
The output_image
parameter provides the loaded and processed image. This output is a tensor representation of the image, normalized and ready for further processing. The image is converted to RGB format and scaled appropriately, ensuring consistency in your workflow.
The output_mask
parameter provides a mask associated with the loaded image. If the image contains an alpha channel, this mask represents the transparency information. If no alpha channel is present, a default mask is generated. This mask can be used for various purposes, such as masking out parts of the image during processing.
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