ComfyUI Node: Token Counter

Token Counter:

The JNodes_TokenCounter node is designed to help you analyze and understand the tokenization of text inputs within your AI art projects. This node counts the number of tokens in a given text string and provides a clear representation of the token count relative to the maximum token length allowed by the tokenizer. By using this node, you can ensure that your text inputs are efficiently tokenized and within the acceptable limits, which is crucial for maintaining the quality and performance of your AI models. The node also updates the workflow metadata to reflect the token count, making it easier to track and manage your text inputs throughout the creative process.

Token Counter Input Parameters:

text

The text parameter is the string input that you want to tokenize and analyze. This parameter is crucial as it directly affects the token count and the resulting output. The text should be a well-formed string that you intend to use in your AI art project. There are no specific minimum or maximum values for this parameter, but the length and complexity of the text will impact the token count.

clip

The clip parameter refers to the tokenizer object that will be used to tokenize the input text. This object contains the necessary methods and attributes to perform tokenization, such as tokenize, start_token, end_token, and pad_token. The clip parameter is essential for the node to function correctly, as it defines how the text will be broken down into tokens.

unique_id

The unique_id parameter is an optional identifier that helps update the workflow metadata with the token count information. If provided, this ID is used to locate the specific node in the workflow and update its metadata. This parameter is useful for tracking and managing the token count across different nodes in your project.

extra_pnginfo

The extra_pnginfo parameter is an optional dictionary that contains additional metadata about the workflow. If this dictionary includes a "workflow" key, the node will update the workflow metadata with the token count information. This parameter helps maintain a comprehensive record of the tokenization process and ensures that all relevant metadata is up-to-date.

Token Counter Output Parameters:

ui

The ui output parameter is a dictionary that contains the token count as a string representation. This output is useful for displaying the token count in a user interface, making it easy to understand and interpret the tokenization results. The string format typically follows the pattern "count / combined_max", where count is the number of tokens and combined_max is the maximum token length allowed.

result

The result output parameter is a tuple that includes the raw token count and its string representation. This output provides a more detailed view of the tokenization results, allowing you to access both the numerical count and its formatted string. This information is valuable for further processing or analysis within your AI art project.

Token Counter Usage Tips:

• Ensure that your input text is well-formed and relevant to your AI art project to get accurate token counts.
• Use the unique_id and extra_pnginfo parameters to keep your workflow metadata up-to-date and organized.
• Regularly check the ui output to monitor the token count and ensure it stays within acceptable limits for your tokenizer.

Token Counter Common Errors and Solutions:

"AttributeError: 'NoneType' object has no attribute 'tokenize'"

• Explanation: This error occurs when the clip parameter is not properly initialized or is set to None.
• Solution: Ensure that the clip parameter is correctly set to a valid tokenizer object before running the node.

"KeyError: 'workflow'"

• Explanation: This error occurs when the extra_pnginfo dictionary does not contain a "workflow" key.
• Solution: Verify that the extra_pnginfo dictionary includes a "workflow" key and that it is correctly formatted.

"TypeError: 'NoneType' object is not iterable"

• Explanation: This error occurs when the unique_id parameter is not provided or is set to None.
• Solution: Ensure that the unique_id parameter is correctly set to a valid identifier if you intend to update the workflow metadata.