ComfyUI > Nodes > ComfyUI-Coziness > Lora Text Extractor

ComfyUI Node: Lora Text Extractor

Class Name

LoraTextExtractor-b1f83aa2

Category
utils
Author
skfoo (Account age: 2240days)
Extension
ComfyUI-Coziness
Latest Updated
2024-08-16
Github Stars
0.03K

How to Install ComfyUI-Coziness

Install this extension via the ComfyUI Manager by searching for ComfyUI-Coziness
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter ComfyUI-Coziness in the search bar
After installation, click the Restart button to restart ComfyUI. Then, manually refresh your browser to clear the cache and access the updated list of nodes.

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Lora Text Extractor Description

Efficiently extract and manage Lora tags from text data for streamlined processing and analysis.

Lora Text Extractor:

The LoraTextExtractor-b1f83aa2 node is designed to efficiently parse and manage text data containing Lora specifications. Its primary function is to identify and extract Lora tags from a given text input, which are typically formatted as <lora:...> or <lyco:...>. This node is particularly useful for users who need to filter out Lora-related information from larger text bodies, allowing them to focus on the core content without losing important Lora data. By separating the Lora tags from the rest of the text, the node provides a streamlined way to handle and utilize Lora specifications in various applications. Additionally, it constructs a Lora stack, which is a structured list of Lora items, each containing the path, model weight, and clip weight, facilitating further processing or analysis.

Lora Text Extractor Input Parameters:

text

The text parameter is a multiline string input that serves as the source from which Lora specifications are extracted. This parameter allows you to input any text that may contain Lora tags, formatted as <lora:...> or <lyco:...>. The node will process this text to identify and extract these tags, separating them from the rest of the content. The default value for this parameter is an empty string, which means that if no text is provided, the node will not perform any extraction. This parameter is crucial as it directly impacts the node's ability to filter and extract relevant Lora data, making it essential for users to provide the correct text input for effective processing.

Lora Text Extractor Output Parameters:

Filtered Text

The Filtered Text output is a string that contains the original input text with all Lora tags removed. This output is important for users who need a clean version of the text without any Lora specifications, allowing them to focus on the main content. It provides a straightforward way to separate Lora-related data from the rest of the text, ensuring that the extracted information does not interfere with other text processing tasks.

Extracted Loras

The Extracted Loras output is a string that lists all the Lora tags extracted from the input text. Each tag is separated by a newline, making it easy to read and analyze. This output is valuable for users who need to review or utilize the Lora specifications separately from the main text. It provides a clear and organized view of all the Lora tags present in the input, facilitating further processing or integration into other workflows.

Lora Stack

The Lora Stack output is a list of tuples, where each tuple contains the full path, model weight, and clip weight of a Lora item. This structured output is essential for users who need to manage and utilize Lora items in a more detailed and organized manner. By providing the path and weights for each Lora item, this output enables users to easily integrate the extracted Lora data into their applications or analyses, ensuring that all relevant information is readily available for further use.

Lora Text Extractor Usage Tips:

  • Ensure that the input text contains correctly formatted Lora tags, such as <lora:...> or <lyco:...>, to enable accurate extraction and filtering.
  • Use the Filtered Text output to obtain a clean version of your text without Lora tags, which can be useful for text analysis or processing tasks that do not require Lora data.
  • Utilize the Extracted Loras output to review all Lora tags in a structured format, making it easier to manage and analyze Lora specifications separately from the main text.
  • Leverage the Lora Stack output to access detailed information about each Lora item, including its path and weights, which can be integrated into other applications or analyses.

Lora Text Extractor Common Errors and Solutions:

Unable to find lora with name '<lora_name>'

  • Explanation: This error occurs when the node attempts to update the Lora items with a name that does not exist in the available Lora list.
  • Solution: Ensure that all Lora names in the input text are correctly spelled and match the names of available Loras. You may need to verify the list of available Loras to confirm their names.

No Lora tags found in the input text

  • Explanation: This message indicates that the input text does not contain any recognizable Lora tags.
  • Solution: Check the input text to ensure that it includes properly formatted Lora tags, such as <lora:...> or <lyco:...>. If necessary, add the correct tags to the text before processing.

Lora Text Extractor Related Nodes

Go back to the extension to check out more related nodes.
ComfyUI-Coziness
RunComfy

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