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Node for managing processed images and masks, ensuring correct formatting and export for AI artists.
The OutputImage (2lab) node is designed to handle the output of processed images and their corresponding masks. This node is particularly useful for AI artists who need to manage and export images after applying various transformations or operations. It ensures that the images are correctly formatted and ready for further use or display. The node processes images by converting them to a suitable format, handling different image modes, and managing alpha channels to create masks. This functionality is essential for tasks that require precise image manipulation and output, such as compositing, editing, or preparing images for machine learning models.
The image
parameter is the primary input for the OutputImage (2lab) node. It accepts the path to the image file that needs to be processed. The image is loaded, and its properties are analyzed to ensure it is in the correct format for further processing. This parameter is crucial as it determines the source image that will be transformed and output by the node. The image should be in a supported format and located in the specified directory.
The channel
parameter specifies which color channel of the image to use for creating the mask. The available options are "alpha", "red", "green", and "blue". This parameter allows you to choose the specific channel that will be used to generate the mask, which can be important for tasks that require isolating certain parts of the image based on color information. The default value is typically "alpha", but you can select any channel depending on your needs.
The MASK
output parameter provides the mask generated from the specified image channel. This mask is a tensor that represents the selected channel's intensity values, normalized to a range between 0 and 1. The mask is essential for various image processing tasks, such as segmentation, compositing, or applying effects to specific parts of the image. It allows for precise control over which areas of the image are affected by subsequent operations.
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parameter is not provided as a list.extra_pnginfo
parameter is passed as a list, even if it contains only one item.extra_pnginfo
list is not a dictionary or does not contain the 'workflow' key.extra_pnginfo
list contains dictionaries and that each dictionary includes the 'workflow' key.<operation>
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