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Automate image caption generation for AI artists in specified directories.
The MZ_ImageCaptionerConfig node is designed to streamline the process of generating captions for images within a specified directory. This node is particularly useful for AI artists who need to automate the captioning of large batches of images, ensuring that each image is paired with a descriptive caption file. The node scans the directory for image files, checks for existing caption files, and updates or creates new captions based on the provided configuration. This functionality is essential for organizing and enhancing image datasets, making them more accessible and informative.
The directory parameter specifies the path to the directory containing the images you want to caption. This is a required parameter as it tells the node where to look for image files. The node will recursively search through this directory to find all images with the extensions .jpg, .jpeg, and .png.
The force_update parameter is a boolean flag that determines whether existing caption files should be overwritten. If set to True, the node will regenerate captions for all images, even if a caption file already exists. If set to False, the node will skip images that already have a caption file. The default value is False.
The caption_suffix parameter allows you to specify a suffix for the caption files. This suffix is appended to the base name of the image file to create the caption file name. For example, if an image is named image1.jpg and the suffix is _caption, the caption file will be named image1_caption. This helps in distinguishing caption files from other types of files in the directory.
The retry_keyword parameter is a comma-separated list of keywords that the node will use to identify images that need to be reprocessed. If any of these keywords are found in the image file name, the node will regenerate the caption for that image, regardless of the force_update setting. This is useful for selectively updating captions based on specific criteria.
The text output parameter contains the generated caption for the image. This is a string that describes the content of the image, providing valuable metadata that can be used for search, organization, and analysis.
The conditioning output parameter provides additional data that can be used to enhance the captioning process. This may include information about the image's context, features, or other relevant details that contribute to the accuracy and relevance of the generated caption.
directory parameter is correctly set to the path where your images are stored to avoid any file not found errors.force_update parameter wisely to save time. Set it to False if you only want to generate captions for new images.caption_suffix to easily identify and manage your caption files, especially if you have multiple types of metadata files in the same directory.retry_keyword parameter to selectively update captions for specific images without reprocessing the entire directory.directory parameter is set to the correct path and that the directory exists..jpg, .jpeg, or .png.force_update is set to False.force_update to True if you want to overwrite existing caption files, or remove the existing caption files manually.retry_keyword parameter contains invalid or improperly formatted keywords.retry_keyword parameter is a comma-separated list of valid keywords, with no extra spaces or special characters.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.