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Efficiently extract and manage metadata for AI artists, streamlining the process for organized projects.
The Metadata extractor [Crystools] is a powerful node designed to help you extract and manage metadata from various sources. This node is particularly useful for AI artists who need to handle and analyze metadata associated with their creative projects. By leveraging this node, you can easily parse, compare, and manipulate metadata, ensuring that you have a comprehensive understanding of the information embedded within your files. The primary goal of the Metadata extractor [Crystools] is to streamline the process of metadata extraction and comparison, making it accessible and efficient for users without requiring deep technical knowledge. This node is essential for maintaining organized and well-documented projects, allowing you to focus more on your creative work.
This parameter accepts raw metadata in the form of a dictionary. It is the primary input for the node, containing all the metadata information that needs to be processed. The metadata_raw parameter is crucial as it determines the content that will be extracted and analyzed. Ensure that the input is a valid dictionary to avoid errors during execution. There are no specific minimum or maximum values, but the structure must be a dictionary.
This parameter is used when comparing two sets of metadata. It accepts the old metadata in the form of a dictionary. This parameter is essential for identifying changes or differences between two versions of metadata. Ensure that the input is a valid dictionary to avoid errors during execution. There are no specific minimum or maximum values, but the structure must be a dictionary.
Similar to metadata_raw_old, this parameter is used for comparison purposes. It accepts the new metadata in the form of a dictionary. This parameter works in conjunction with metadata_raw_old to highlight differences or updates in the metadata. Ensure that the input is a valid dictionary to avoid errors during execution. There are no specific minimum or maximum values, but the structure must be a dictionary.
This output parameter provides information about the file from which the metadata was extracted. It is a key component for understanding the context and origin of the metadata. The fileinfo output helps you keep track of the source files and their associated metadata, ensuring better organization and traceability.
This output parameter contains the prompt information extracted from the metadata. Prompts are often used in AI art generation to guide the creative process. By extracting and analyzing the prompt, you can gain insights into the initial instructions or ideas that influenced the creation of the artwork.
This output parameter provides details about the workflow associated with the metadata. Workflows are essential for understanding the sequence of steps or processes involved in creating the artwork. By extracting workflow information, you can better understand the methodology and techniques used, which can be valuable for replicating or improving the creative process.
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