ComfyUI_FearnworksNodes

Count Tokens (FW)

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CountTokens

This node counts the number of tokens in a given text string using the CLIP tokenizer from the transformers library. It's useful for analyzing text complexity and preprocessing text data. - Inputs: CLIP model, Text (String) - Outputs: Token Count (Integer)

Fearnworks/Text/Tokens · 2 entradas · 0 parámetros · 1 salida

FileCountInDirectory

Counts the number of files within a given directory, with an option to filter by file type. This node is essential for managing and analyzing file systems, ensuring efficient handling of directories and files. - Inputs: Directory Path (String), File Types (String, optional) Outputs: File Count (Integer)

Fearnworks/File Operations · 2 entradas · 0 parámetros · 1 salida

Token Count Ranker(FW)

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TokenCountRanker

Sorts segments and words within a text string by their token count, providing two lists: one for segments and one for words. This node aids in text analysis by highlighting the most complex parts of a given text. - Inputs: CLIP model, Text (String) - Outputs: Sorted Text by Token Count (String)

Fearnworks/Text/Tokens · 2 entradas · 0 parámetros · 1 salida

Trim To Tokens (FW)

No hay una descripción breve disponible para este nodo.

TrimToTokens

Trims a text string to include only a specified number of tokens. This node is particularly useful in scenarios where you need to limit the length of text inputs to certain token thresholds. - Inputs: CLIP model, Text (String), Number of Tokens (Integer) - Outputs: Trimmed Text (String)

Fearnworks/Text/Tokens · 1 salida