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Simplify LoRA tag conversion by extracting and cleaning keywords for AI artists using LF_LoraTag2Prompt node.
The LF_LoraTag2Prompt
node is designed to simplify the process of converting LoRA tags into a more usable format by extracting and cleaning keywords from the tags. This node is particularly useful for AI artists who work with LoRA (Low-Rank Adaptation) models and need to manage and utilize tags efficiently. By converting complex LoRA tags into a clean string of keywords, this node helps streamline the workflow, making it easier to integrate these tags into prompts or other text-based inputs. The primary function of this node is to take a LoRA tag and a specified separator, cleanse the tag by removing unnecessary parts, and extract meaningful keywords. This not only enhances the readability of the tags but also ensures that the keywords are ready for further processing or analysis.
The tag
parameter is a string input that represents the LoRA tag to be converted. This tag typically contains various keywords and metadata that need to be extracted and cleaned. The input can be multiline, allowing for more complex tags to be processed. The primary function of this parameter is to provide the raw LoRA tag that will be cleansed and converted into a more usable format. There are no specific minimum or maximum values for this parameter, but it should be a valid string that represents a LoRA tag.
The separator
parameter is a string input that specifies the character or string used to separate each keyword in a LoRA filename. The default value for this parameter is "SEP". This separator is crucial for correctly parsing the LoRA tag and extracting individual keywords. By defining the separator, you ensure that the node can accurately split the tag into its constituent parts. There are no specific minimum or maximum values for this parameter, but it should be a valid string that effectively separates the keywords in the LoRA tag.
The keywords
output is a string that contains the cleaned and extracted keywords from the LoRA tag. This output is the result of the cleansing process, where unnecessary parts of the tag are removed, and the remaining keywords are formatted into a readable string. The primary function of this output is to provide a clean and usable set of keywords that can be easily integrated into prompts or other text-based inputs.
The nr_keywords
output is an integer that represents the number of keywords extracted from the LoRA tag. This output provides a count of the keywords, which can be useful for further analysis or processing. The primary function of this output is to give you a quick overview of how many keywords were extracted from the tag, helping you understand the complexity and content of the original LoRA tag.
tag
parameter contains a valid LoRA tag with the appropriate format to achieve accurate keyword extraction.separator
that effectively splits the keywords in your LoRA tag to ensure that the node can correctly parse and cleanse the tag.keywords
output to integrate the cleaned keywords into your prompts or other text-based inputs for a more streamlined workflow.nr_keywords
output to get a quick count of the extracted keywords, which can help in further processing or analysis.tag
parameter does not contain a valid LoRA tag format, leading to incorrect or failed keyword extraction.tag
parameter contains a properly formatted LoRA tag. Verify that the tag follows the expected structure and includes the necessary metadata.separator
parameter does not match the character or string used to separate keywords in the LoRA tag, resulting in incorrect parsing.separator
parameter to ensure it matches the character or string used in your LoRA tag. Adjust the separator if necessary to achieve accurate keyword extraction.tag
parameter may be empty or improperly formatted, leading to no keywords being extracted.tag
parameter contains a valid and non-empty LoRA tag. Ensure that the tag is properly formatted and includes extractable keywords.nr_keywords
output does not match the expected number of keywords, possibly due to an incorrect separator or tag format.tag
and separator
parameters to ensure they are correctly specified. Adjust the separator if necessary and verify the tag format to achieve the expected keyword count.© Copyright 2024 RunComfy. All Rights Reserved.