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Fetch images from remote URLs, convert to masks for AI artists, simplifying mask extraction from online images.
The LoadMaskFromURL
node is designed to fetch images from remote URLs and convert them into masks. This node is particularly useful for AI artists who need to work with masks derived from images hosted online. By providing a list of URLs, the node downloads the images, processes them to extract mask information, and returns both the images and their corresponding masks. This functionality is essential for workflows that involve image segmentation, masking, and other image processing tasks where masks play a crucial role. The node simplifies the process of obtaining masks from online images, making it easier to integrate remote resources into your creative projects.
The urls
parameter is a multiline string input where you can provide one or more URLs, each on a new line. This parameter specifies the remote locations of the images you want to load and convert into masks. The node will process each URL, download the image, and generate the corresponding mask. This parameter does not have a minimum or maximum value, but it is essential to ensure that the URLs are valid and accessible. The default value is an empty string.
The images
output parameter returns a list of images that were downloaded from the provided URLs. Each image is processed and converted into a tensor format suitable for further manipulation and use in your AI art projects. This output is useful for visual reference or for additional image processing tasks.
The masks
output parameter provides a list of masks corresponding to the downloaded images. Each mask is derived from the alpha channel of the image, if available, or generated as a blank mask if the alpha channel is not present. These masks are essential for tasks that require precise image segmentation and masking.
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