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Facilitates loading images from file paths or URLs, supports RGB and RGBA formats, with fallback mechanisms.
The ZFLoadImagePath
node is designed to facilitate the loading of images from a specified file path or URL, making it a versatile tool for AI artists who need to incorporate external images into their projects. This node can handle both local file paths and remote URLs, ensuring that you can easily access and use images regardless of their location. It also provides fallback mechanisms to create a default image if the specified image cannot be loaded, ensuring that your workflow remains uninterrupted. The node supports both RGB and RGBA image formats, allowing for flexibility in handling images with or without alpha channels. Additionally, it can generate a mask from the alpha channel if present, which can be useful for various image processing tasks.
The image_path
parameter specifies the location of the image to be loaded. This can be a local file path or a URL. If the path starts with http
, the node will attempt to download the image from the internet. This parameter is crucial as it determines the source of the image that will be processed. The default value is ./input/example.png
.
The RGBA
parameter is a boolean option that determines whether the image should be loaded with an alpha channel (RGBA) or without (RGB). If set to True
, the image will include the alpha channel, which can be useful for tasks requiring transparency. The default value is False
.
The default_image
parameter is optional and allows you to specify a fallback image in case the specified image cannot be loaded. This can be useful to ensure that your workflow continues smoothly even if the primary image source fails. This parameter accepts an image tensor.
The image
output parameter provides the loaded image in tensor format. This is the primary output that you will use for further processing or manipulation in your AI art projects. The image will be in either RGB or RGBA format, depending on the RGBA
input parameter.
The mask
output parameter provides a mask generated from the alpha channel of the image, if present. If the image does not have an alpha channel, a default mask of zeros will be provided. This mask can be useful for tasks that require distinguishing between different parts of the image based on transparency.
The filename
output parameter provides the name of the loaded image file. This can be useful for tracking and referencing the image within your workflow, especially when dealing with multiple images.
image_path
is correctly specified, whether it is a local file path or a URL, to avoid loading errors.RGBA
parameter to include the alpha channel if your task requires handling transparency.default_image
to ensure that your workflow continues smoothly even if the primary image cannot be loaded.mask
output for tasks that require distinguishing between different parts of the image based on transparency.image_path
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