Custom Node Creation

Creating Custom Nodes

Learn how to extend ComfyUI's functionality by creating your own custom nodes. This guide will walk you through the process of developing, testing, and implementing custom nodes.

Understanding Custom Nodes

Custom nodes allow you to extend ComfyUI's functionality with your own processing logic and UI elements.

  • Nodes are Python classes that inherit from ComfyNode
  • Each node can define inputs, outputs, and processing logic
  • Nodes can include custom UI elements and controls
  • Nodes are loaded dynamically when ComfyUI starts

Setting Up Development Environment

Prepare your environment for custom node development.

  • Create a new directory in ComfyUI's custom_nodes folder
  • Set up a basic Python development environment
  • Install required ComfyUI dependencies
  • Create necessary file structure for your custom node

Creating Your First Custom Node

Learn the basic structure and implementation of a custom node.

  • Define node class and inheritance
  • Implement RETURN_TYPES and FUNCTION
  • Create input and output specifications
  • Add processing logic to your node

Example Code:

              
class ExampleNode:
    def __init__(self):
        pass
        
    @classmethod
    def INPUT_TYPES(s):
        return {
            "required": {
                "input_1": ("STRING", {
                    "multiline": False
                }),
                "input_2": ("INT", {
                    "default": 0,
                    "min": 0,
                    "max": 100
                }),
            },
        }
    
    RETURN_TYPES = ("STRING",)
    FUNCTION = "process"
    
    def process(self, input_1, input_2):
        # Your processing logic here
        result = f"{input_1} processed with {input_2}"
        return (result,)
      
            

Advanced Node Features

Explore advanced features and capabilities for custom nodes.

  • Adding custom UI widgets and controls
  • Implementing complex processing pipelines
  • Working with image and tensor data
  • Creating nodes with multiple outputs

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