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Fetch and load images from URL, simplifying image retrieval and conversion for AI artists.
The LoadImageUrl
node is designed to fetch and load images from a specified URL, making it a valuable tool for AI artists who need to incorporate remote images into their projects. This node simplifies the process of retrieving images from the web, converting them into a format suitable for further processing in AI workflows. By automatically handling the download and conversion of images, it saves you time and effort, allowing you to focus on the creative aspects of your work. The node also generates a mask if the image contains an alpha channel, which can be useful for various image manipulation tasks.
The url
parameter is a string that specifies the web address from which the image will be fetched. This parameter is crucial as it directs the node to the exact location of the image you want to load. The URL must be a valid web address pointing to an image file. There are no minimum or maximum values for this parameter, but it must be a properly formatted URL. The parameter does not support multiline input, meaning the URL should be a single continuous string.
The IMAGE
output is a tensor representation of the fetched image, converted to RGB format and normalized to a range of 0 to 1. This output is essential for further image processing tasks, as it provides a standardized format that can be easily manipulated by other nodes in your workflow. The tensor is in the shape of [1, height, width, 3]
, making it compatible with various image processing operations.
The MASK
output is a tensor that represents the alpha channel of the image, if present. If the image does not contain an alpha channel, a default mask of zeros with dimensions [64, 64]
is provided. The mask is useful for tasks that require transparency information, such as compositing or masking operations. The values in the mask are normalized to a range of 0 to 1, where 1 indicates full transparency and 0 indicates full opacity.
requests.exceptions.RequestException
PIL.UnidentifiedImageError
torch.Tensor
shape mismatchTimeoutError
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