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ComfyDeploy: How ComfyUI-Regex-Runner works in ComfyUI?

What is ComfyUI-Regex-Runner?

This is a node to run regex for strings.

How to install it in ComfyDeploy?

Head over to the machine page

  1. Click on the "Create a new machine" button
  2. Select the Edit build steps
  3. Add a new step -> Custom Node
  4. Search for ComfyUI-Regex-Runner and select it
  5. Close the build step dialig and then click on the "Save" button to rebuild the machine

ComfyUI-Regex-Runner

A ComfyUI custom node plugin that allows you to run regular expression operations directly in ComfyUI workflows.

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This custom node is powered by ltdrdata and developed by Cursor

Features

  • Execute regex matching and replacement in ComfyUI
  • Support all standard Python regular expression syntax
  • Easy text input and output handling
  • Fully integrated into ComfyUI workflows

Installation

  1. Navigate to your ComfyUI custom nodes directory:
cd ComfyUI/custom_nodes/
  1. Clone this repository:
git clone https://github.com/ltdrdata/ComfyUI-Regex-Runner

Usage

Available Nodes

The plugin provides the following nodes:

  • Regex Match: Performs regular expression matching operations
  • Regex Replace: Performs regular expression replacement operations

Node Parameters

Regex Match Node

  • text: Input text to match
  • pattern: Regular expression pattern
  • flags: Regex flags (optional)
  • Output: List of matched texts

Regex Replace Node

  • text: Input text to process
  • pattern: Regular expression pattern
  • replacement: Replacement text
  • flags: Regex flags (optional)
  • Output: Replaced text

Examples

  1. Extract Numbers
Input text: "Image size is 512x512"
Pattern: "\d+"
Output: ["512", "512"]
  1. Replace Text
Input text: "prompt: a cat"
Pattern: "^prompt: "
Replacement: "negative prompt: "
Output: "negative prompt: a cat"

Common Issues

  1. Regex Not Matching?

    • Check if the regex syntax is correct
    • Verify if you need to use raw strings (r"pattern")
    • Ensure special characters are properly escaped

  2. How to Use Regex Flags?

    • Supports standard Python regex flags
    • Examples: re.IGNORECASE, re.MULTILINE, etc.

License

MIT License

Support

If you encounter any issues or have suggestions for improvements:

  1. Submit an issue on GitHub
  2. Provide detailed problem description and steps to reproduce
  3. Include relevant error messages and logs