Files
ComfyUI-Lora-Manager/py/workflow_params/extensions/custom_node_example.py
Will Miao 4bff17aa1a Update prompt configuration and enhance Lora management functionality
- Expanded the prompt.json file with new configurations for KSampler, CheckpointLoaderSimple, and various CLIPTextEncode nodes.
- Introduced additional Lora management features, including a new Lora Stacker and improved trigger word handling.
- Enhanced the loras_widget.js to log the generated prompt when saving recipes directly, aiding in debugging and user feedback.
- Improved overall structure and organization of the prompt configurations for better maintainability.
2025-03-21 16:35:52 +08:00

43 lines
1.4 KiB
Python

"""
Example of how to extend the workflow parser with custom node processors
This file is not imported automatically - it serves as a template for creating extensions
"""
from typing import Dict, Any
from ..node_processors import NodeProcessor, register_processor
@register_processor
class CustomNodeProcessor(NodeProcessor):
"""Example processor for a custom node type"""
NODE_CLASS_TYPE = "CustomNodeType"
REQUIRED_FIELDS = {"custom_field1", "custom_field2"}
def process(self, workflow_parser) -> Dict[str, Any]:
"""Process a custom node"""
# Example implementation
result = {}
# Extract direct values
if "custom_field1" in self.inputs:
result["custom_value1"] = self.inputs["custom_field1"]
# Resolve references to other nodes
if "custom_field2" in self.inputs:
resolved_value = self.resolve_input("custom_field2", workflow_parser)
if resolved_value:
result["custom_value2"] = resolved_value
return result
# To use this extension, you would need to:
# 1. Save this file in the extensions directory
# 2. Import it in your code before using the WorkflowParser
#
# For example:
#
# from workflow_params.extensions import custom_node_example
# from workflow_params import WorkflowParser
#
# parser = WorkflowParser()
# result = parser.parse_workflow(workflow_json)