CSV Wildcard Node for ComfyUI

CSV Wildcard Node for ComfyUI

A ComfyUI custom node that provides dynamic text substitution using wildcards and CSV files. Perfect for creating varied prompts with consistent relationships between terms.

Installation

1. Navigate to your ComfyUI's custom_nodes directory
2. Clone this repository: git clone https://github.com/illuminatianon/comfyui-csvwildcards.git
3. Restart ComfyUI

Usage

Basic Structure

The node system provides two main ways to substitute text:

1. Simple wildcards: {filename} or {directory/filename}
2. CSV-based wildcards: {csv:filename:column} or {csv:directory/filename:column}

Directory Organization

You can organize your wildcard files in the data directory using subdirectories of any depth:

data/
  # Direct files in root
  animal.txt              # Simple wildcard file
  monster.txt             # CSV wildcard file (can coexist with .txt)
  monster.csv
  monster/
    types.txt
    abilities.txt
  pokemon/
    gen1/
      types.txt
      moves.csv
      abilities.csv
    gen2/
      types.txt
      moves.csv

Key points about directory structure:

• Files can exist at any depth
• Both .txt and .csv files can be organized in directories
• A name can be used for all three: .txt, .csv, and directory:
  • {name} will use name.txt for simple wildcards
  • {csv:name:column} will use name.csv for CSV wildcards
  • {name/file} will look in the name/ directory
• All three can be used in the same prompt:

  The {monster} saw a {csv:monster:color} creature in {monster/types}
  

• Use forward slashes (/) for subdirectories, even on Windows

Simple Wildcards

Simple wildcards use text files where each line is a possible value. For example, animal.txt:

wolf
dragon
bear
tiger

Use these in your templates:

A {animal} with {texture} fur                     # Direct file reference
A {monster} with {monster/abilities}              # File and directory reference
A {pokemon/gen1/types} Pokemon                    # Deep path reference

CSV Wildcards

CSV wildcards maintain relationships between related terms using CSV files with headers. Example monster.csv:

color,size,texture
red,large,scaly
blue,small,furry
green,medium,slimy
purple,tiny,rough

Use these in your templates:

The {csv:monster:color} creature was {csv:monster:size}                              # Direct file reference
A Pokemon with {csv:pokemon/gen1/moves:name} that causes {csv:pokemon/gen1/moves:effect}  # Deep path reference

Important: All references to the same CSV file in a single prompt will use values from the same row, maintaining consistency in your descriptions.

Node Setup

1. Add a CSVWildcardNode to your workflow
2. Enter your prompt template in the text area
3. (Optional) Connect a seed value to control randomization
4. Connect the output to any node that accepts a string input (like a CLIP Text Encode node)

Inputs

• prompt_template (required): The text template containing wildcards to be substituted
• seed (optional): Integer value to control randomization
  • If connected, the same seed will always produce the same substitutions
  • If not connected, random values will be used each time
  • Useful for reproducing specific results or batch processing

Example Templates

Basic wildcards:

A {animal} with {texture} skin and {appendage} appendages

CSV with relationships:

The {csv:monster:color} {animal}-like monster has {csv:monster:size} {appendage} with a {csv:monster:texture} texture

Mixed directory usage:

A {pokemon/gen1/types} Pokemon that knows {csv:pokemon/gen1/moves:name} which has {csv:pokemon/gen1/moves:power} power

Tips

1. CSV files must have a header row
2. Column names in CSV files are case-insensitive
3. Spaces and special characters in column names are stripped
4. Missing wildcards will remain unchanged in the output (useful for debugging)
5. Always use forward slashes (/) for paths, even on Windows
6. Directory paths can be of any depth (e.g., {folder/subfolder/file})

Error Handling

• Missing files: The system will silently skip missing wildcard files
• Malformed CSV references: Invalid CSV placeholders will be left unchanged
• Empty files: Empty files will be treated as having no valid options
• Directory references: Must include explicit file path with forward slash
• Ambiguous names: Direct file matches take precedence over directories unless path is specified