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Facilitates image loading, processing in node-based workflow for AI artists, supporting various formats, color channels extraction.
The 输入图像 node, or "Input Image" node, is designed to facilitate the loading and processing of images within a node-based workflow. This node is particularly useful for AI artists who need to incorporate image data into their projects, allowing them to select and manipulate images with ease. The node supports various image formats and provides the capability to handle different color channels, including alpha, red, green, and blue. By converting images to a consistent format and extracting specific channels, the 输入图像 node ensures that the images are ready for further processing or analysis. This functionality is essential for tasks that require precise image manipulation, such as creating masks or preparing images for machine learning models.
The image
parameter allows you to select an image file from a specified directory. This parameter is crucial as it determines the source image that will be processed by the node. The selection is made from a list of available files, and the node supports image uploads, making it flexible for various use cases. There are no specific minimum or maximum values, but the image must be a valid file in the directory.
The channel
parameter specifies which color channel of the image to process. The available options are "alpha," "red," "green," and "blue." This parameter is important because it allows you to focus on a specific aspect of the image, such as transparency or a particular color component. The choice of channel can significantly impact the resulting mask or processed image, as it determines which part of the image data is extracted and used.
The MASK
output is a processed representation of the selected image channel. It is a tensor that contains the normalized values of the specified channel, scaled between 0 and 1. This output is essential for tasks that require a binary or grayscale representation of an image, such as creating masks for image segmentation or compositing. The mask can be used in subsequent nodes to apply effects or transformations based on the image's channel data.
channel
parameter, consider the specific needs of your project. For instance, use the "alpha" channel to work with transparency or the "red" channel to emphasize red hues in the image.<image_name>
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