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Extract image metadata for AI analysis in JSON format, automating retrieval from various formats to save time and ensure accuracy.
The LF_LoadMetadata
node is designed to extract metadata from image files, making it a valuable tool for AI artists who need to analyze and utilize image information. This node simplifies the process of retrieving metadata from various image formats, such as JPEG and PNG, and compiles this data into a structured JSON format. By automating the extraction of metadata, LF_LoadMetadata
helps you save time and ensures accuracy, allowing you to focus on the creative aspects of your work. Whether you are managing a large collection of images or need specific metadata for your projects, this node provides a streamlined and efficient solution.
This parameter expects a string containing a list of file names separated by semicolons (e.g., file1.jpg;file2.png;file3.jpg
). It specifies the image files from which metadata will be extracted. The function of this parameter is to provide the node with the necessary file paths to process. The impact on the node's execution is significant, as it determines which files are analyzed. There are no minimum or maximum values, but the file names must be valid and accessible within the input directory. The default value is an empty string, and it is required to be filled for the node to function correctly.
This output parameter returns a JSON object containing a list of metadata for each specified image file. Each entry in the list includes the file name and its corresponding metadata or an error message if the file could not be processed. The function of this parameter is to provide a comprehensive and structured output of the extracted metadata, which can be used for further analysis or integration into other workflows. The importance of this output lies in its ability to deliver detailed and organized information about the images, facilitating better decision-making and creative processes.
file_names
parameter are correctly formatted and accessible within the input directory to avoid errors during execution.<file_name>
<file_path>
'<file_path>
'<file_name>
- <error_message>
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