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.

py/workflow_params/extensions/custom_node_example.py

@@ -0,0 +1,43 @@
+"""
+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)