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/cli.py

@@ -0,0 +1,68 @@
+#!/usr/bin/env python3
+"""Command-line interface for testing the workflow parser"""
+
+import argparse
+import json
+import sys
+from pathlib import Path
+import logging
+
+from .workflow_parser import WorkflowParser
+
+# Configure logging
+logging.basicConfig(level=logging.INFO, 
+                   format='%(asctime)s - %(name)s - %(levelname)s - %(message)s')
+logger = logging.getLogger(__name__)
+
+def main():
+    """Main entry point for the command-line interface"""
+    parser = argparse.ArgumentParser(description="Parse ComfyUI workflow JSON files")
+    parser.add_argument("input_file", type=str, help="Path to input workflow JSON file")
+    parser.add_argument("-o", "--output", type=str, help="Path to output JSON file (defaults to stdout)")
+    parser.add_argument("-v", "--verbose", action="store_true", help="Enable verbose output")
+    
+    args = parser.parse_args()
+    
+    # Set log level based on verbosity
+    if args.verbose:
+        logging.getLogger().setLevel(logging.DEBUG)
+    
+    # Read input file
+    input_path = Path(args.input_file)
+    if not input_path.exists():
+        logger.error(f"Input file {input_path} does not exist")
+        return 1
+    
+    try:
+        with open(input_path, 'r', encoding='utf-8') as f:
+            workflow_json = f.read()
+    except Exception as e:
+        logger.error(f"Failed to read input file: {e}")
+        return 1
+    
+    # Parse workflow
+    try:
+        workflow_parser = WorkflowParser()
+        result = workflow_parser.parse_workflow(workflow_json)
+    except Exception as e:
+        logger.error(f"Failed to parse workflow: {e}")
+        return 1
+    
+    # Output result
+    output_json = json.dumps(result, indent=4)
+    
+    if args.output:
+        try:
+            with open(args.output, 'w', encoding='utf-8') as f:
+                f.write(output_json)
+            logger.info(f"Output written to {args.output}")
+        except Exception as e:
+            logger.error(f"Failed to write output file: {e}")
+            return 1
+    else:
+        print(output_json)
+    
+    return 0
+
+if __name__ == "__main__":
+    sys.exit(main())