ComfyUI  >  Nodes  >  WAS Node Suite >  Text File History Loader

ComfyUI Node: Text File History Loader

Class Name

Text File History Loader

Category
WAS Suite/History
Author
WASasquatch (Account age: 4688 days)
Extension
WAS Node Suite
Latest Updated
8/25/2024
Github Stars
1.1K

How to Install WAS Node Suite

Install this extension via the ComfyUI Manager by searching for  WAS Node Suite
  • 1. Click the Manager button in the main menu
  • 2. Select Custom Nodes Manager button
  • 3. Enter WAS Node Suite 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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Text File History Loader Description

Reads text file, removes comments, returns cleaned text and line dictionary for AI artists' workflow efficiency.

Text File History Loader:

The Text File History Loader node is designed to read the contents of a specified text file, process the text by removing lines that start with a comment character (#), and return the cleaned text along with a dictionary of the lines. This node is particularly useful for AI artists who need to manage and utilize text data from files in their creative workflows. By keeping a history of the text files processed, it ensures that you can easily track and reuse text data, enhancing efficiency and organization in your projects.

Text File History Loader Input Parameters:

file_path

The file_path parameter specifies the path to the text file you want to load. This parameter is crucial as it directs the node to the correct file location. If the file path is incorrect or the file does not exist, the node will return an error. The default value is an empty string, and it must be a valid path to a text file on your system.

dictionary_name

The dictionary_name parameter allows you to specify a custom name for the dictionary key under which the text lines will be stored. If you leave this parameter as the default value [filename], the node will use the file's name (without the extension) as the dictionary key. This parameter helps in organizing and identifying the text data, especially when dealing with multiple files.

Text File History Loader Output Parameters:

TEXT_TYPE

The TEXT_TYPE output is a single string containing the cleaned text from the file, with each line concatenated together. This output is useful for directly using the text in your AI art projects or further processing.

DICT

The DICT output is a dictionary where the key is the dictionary_name (or the file name if the default is used) and the value is a list of the cleaned lines from the text file. This structured output allows for easy access and manipulation of individual lines of text, making it ideal for tasks that require line-by-line processing.

Text File History Loader Usage Tips:

  • Ensure the file_path is correctly specified and points to an existing text file to avoid errors.
  • Use the dictionary_name parameter to organize your text data effectively, especially when working with multiple files.
  • Utilize the TEXT_TYPE output for tasks that require the entire text as a single string, and the DICT output for tasks that need line-by-line processing.

Text File History Loader Common Errors and Solutions:

The path <file_path> specified cannot be found.

  • Explanation: This error occurs when the specified file path does not exist or is incorrect.
  • Solution: Double-check the file path to ensure it is correct and that the file exists at the specified location.

No file path specified.

  • Explanation: This error occurs when the file_path parameter is left empty.
  • Solution: Provide a valid file path to the text file you want to load.

Invalid line index <index>

  • Explanation: This error occurs when the specified index is out of range for the lines in the text file.
  • Solution: Ensure the index is within the valid range of lines in the text file. Adjust the index value accordingly.

Text File History Loader Related Nodes

Go back to the extension to check out more related nodes.
WAS Node Suite
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