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Load and process images for AI artists within BMAB framework, streamlining workflow and enhancing creative focus.
The BMAB Load Output Image node is designed to load and process images from a specified output directory, converting them into a format suitable for further manipulation and analysis within the BMAB framework. This node is particularly useful for AI artists who need to work with images in a consistent and efficient manner, ensuring that the images are correctly formatted and any associated masks are properly handled. By leveraging this node, you can streamline your workflow, reduce manual image processing tasks, and focus more on the creative aspects of your projects.
This parameter specifies the name of the image file to be loaded from the output directory. The image file should be located in the directory specified by the folder paths configuration. The node will read the image, apply necessary transformations, and prepare it for further processing. The image file should be in a supported format, and the node will handle common image formats such as JPEG, PNG, and others, excluding formats like MPO.
This output parameter provides the loaded and processed image in a tensor format. The image is converted to a float32 numpy array and then to a torch tensor, normalized to a range of 0 to 1. This format is suitable for further manipulation and analysis within the BMAB framework, allowing for seamless integration with other nodes and processes.
This output parameter provides the associated mask for the loaded image, if available. The mask is also converted to a float32 numpy array and then to a torch tensor. If the image contains an alpha channel, the mask is derived from it; otherwise, a default mask of zeros is provided. The mask is useful for tasks that require distinguishing between different regions of the image, such as segmentation or inpainting.
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