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Facilitates interactive image selection from batch, optimizing workflows by filtering out unwanted images.
The WaitImagSelector
node is designed to facilitate the selection of images from a batch, allowing users to interactively choose which images to keep or discard. This node is particularly useful in workflows where multiple images are generated, and a selection process is necessary to filter out the desired outputs. By integrating a user-friendly interface, it enables you to make selections based on visual inspection, thus enhancing the decision-making process in image generation tasks. The node temporarily saves images and presents them for selection, ensuring that only the chosen images are processed further. This functionality is crucial for optimizing workflows by reducing unnecessary processing of unwanted images and focusing resources on the most relevant outputs.
The images
parameter is a required input that accepts a batch of images for processing. This parameter is crucial as it determines the set of images that will be presented for selection. The images should be in a format compatible with the node's processing capabilities, typically as arrays or tensors representing image data. There are no explicit minimum or maximum values for this parameter, but it is essential to ensure that the images are correctly formatted and within the node's handling capacity to avoid errors during execution.
This output parameter, translated as "whether not selected," is a boolean value indicating if no images were selected during the process. A True
value signifies that the selection process was canceled or no images were chosen, while a False
value indicates that one or more images were selected.
The 选择图片
parameter, meaning "selected images," provides the images that were chosen during the selection process. This output is crucial as it determines the images that will proceed to subsequent stages in the workflow. The selected images are returned in a format suitable for further processing or storage, ensuring seamless integration into the overall image generation pipeline.
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