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Versatile node for batch image loading and management, with caption file support for AI artists.
The WWAA_ImageLoader
is a versatile node designed to streamline the process of loading and managing image batches from a specified directory. This node is particularly beneficial for AI artists who work with large collections of images, as it allows for efficient looping through images in various orders. One of its standout features is the ability to read corresponding caption files that share the same name as the images, which can be incredibly useful for projects that require metadata or descriptive text alongside visual content. By automating the image loading process, the WWAA_ImageLoader
enhances workflow efficiency, enabling you to focus more on creative tasks rather than manual file management.
The directory_path
parameter specifies the location of the directory from which images will be loaded. It is crucial for determining the source of the image files that the node will process. This parameter does not have a default value, as it requires a valid directory path to function correctly.
The file_extension
parameter defines the type of image files to be loaded, such as .jpg
or .png
. This ensures that only files with the specified extension are considered, allowing for more targeted and efficient image loading. There is no default value, and it must be set according to the file types present in the directory.
The reset_index
parameter is a boolean that determines whether the index of the image list should be reset to the beginning. This is useful when you want to start the image loading process from the first image again. The default value is typically False
, meaning the index will not reset unless specified.
The sort_method
parameter dictates the order in which images are loaded, such as alphabetically or by date modified. This allows for flexibility in how images are processed, depending on your project needs. There is no default value, and it should be set based on the desired sorting criteria.
The reload_directory
parameter is a boolean that indicates whether the directory contents should be reloaded. This is particularly useful if the directory contents have changed and you want to ensure the node processes the most up-to-date files. The default value is usually False
.
The read_caption
parameter is a boolean that specifies whether to read accompanying caption files with the same name as the images. This feature is beneficial for projects that require text data alongside images. The default value is typically False
.
The starting_index
parameter allows you to specify the index from which to start loading images. This is useful if you want to begin processing from a specific point in the image list. If not provided, the default behavior is to start from the beginning or the current index.
The result
output parameter is a tuple containing the loaded image as a tensor. This output is crucial for further processing in AI models, as it provides the image data in a format that can be easily manipulated and analyzed. The tensor format ensures compatibility with various machine learning frameworks, facilitating seamless integration into your workflow.
directory_path
is correctly set to avoid errors related to file not found. Double-check the path for typos or incorrect directory names.sort_method
parameter to organize your images in a way that best suits your project needs, such as sorting by date for chronological processing.reload_directory
to True
to ensure the node processes the latest files.directory_path
does not exist or is incorrect.file_extension
parameter is set to a type not present in the directory.starting_index
is set beyond the number of available images.starting_index
within this range.RunComfy is the premier ComfyUI platform, offering ComfyUI online environment and services, along with ComfyUI workflows featuring stunning visuals. RunComfy also provides AI Playground, enabling artists to harness the latest AI tools to create incredible art.