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Optimizes token arrangement based on AnimagineXL v3 style order for AI artists working with Danbooru tags.
The DanbooruTagsTransformerRearrangedByAnimagine
node is designed to optimize the arrangement of token IDs based on a specific style order known as AnimagineXL v3. This node is particularly useful for AI artists who work with Danbooru tags and need to rearrange them in a meaningful sequence that enhances the interpretability and utility of the data. By leveraging the rearrange_by_animagine
method, this node ensures that the tokens are reordered in a way that prioritizes people, characters, copyrights, other general tags, and ratings, while also filtering out any special tags that may not be relevant to the desired output. This rearrangement can significantly improve the quality and coherence of the generated content, making it a valuable tool for artists looking to refine their AI-generated artwork.
The tokenizer
parameter is a crucial component that specifies the tokenizer to be used for processing the token IDs. It is of type DART_TOKENIZER
, which indicates that it is specifically designed to work with the DART framework. The tokenizer is responsible for interpreting the token IDs and applying the rearrangement logic defined by the AnimagineXL v3 style. This parameter does not have minimum, maximum, or default values, as it is a required input that must be provided to ensure the node functions correctly.
The token_ids
parameter represents the sequence of token IDs that need to be rearranged. It is of type DART_TOKEN_IDS
, indicating that it is a list or array of token identifiers that the tokenizer will process. The rearrangement of these token IDs is the primary function of this node, and the input must be provided for the node to execute its task. Like the tokenizer, this parameter does not have predefined minimum, maximum, or default values, as it is a required input for the node's operation.
The output parameter DART_TOKEN_IDS
is the result of the rearrangement process. It provides the reordered sequence of token IDs after they have been processed by the tokenizer according to the AnimagineXL v3 style. This output is crucial for users who need a structured and coherent sequence of tokens that align with specific artistic or data processing requirements. The rearranged token IDs can be used in subsequent steps of an AI art generation pipeline to ensure that the final output is both meaningful and aesthetically pleasing.
tokenizer
provided is compatible with the DART framework to avoid compatibility issues and to ensure accurate rearrangement of token IDs.tokenizer
parameter is not supplied, which is essential for the node's operation.DART_TOKENIZER
is provided as input to the node.token_ids
parameter is missing, preventing the node from performing the rearrangement.DART_TOKEN_IDS
to enable the node to execute its rearrangement function.DART_TOKENIZER
and is compatible with the node's requirements.© Copyright 2024 RunComfy. All Rights Reserved.
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