refactor: remove Lora Demo node

Remove the Lora Demo Node (LoraDemoNode) and all related imports and mappings
from the codebase.

__init__.py

@@ -9,7 +9,6 @@ try:  # pragma: no cover - import fallback for pytest collection
     from .py.nodes.wanvideo_lora_select import WanVideoLoraSelectLM
     from .py.nodes.wanvideo_lora_select_from_text import WanVideoLoraSelectFromText
     from .py.nodes.lora_pool import LoraPoolNode
-    from .py.nodes.lora_demo import LoraDemoNode
     from .py.nodes.lora_randomizer import LoraRandomizerNode
     from .py.metadata_collector import init as init_metadata_collector
 except (
@@ -44,8 +43,9 @@ except (
         "py.nodes.wanvideo_lora_select_from_text"
     ).WanVideoLoraSelectFromText
     LoraPoolNode = importlib.import_module("py.nodes.lora_pool").LoraPoolNode
-    LoraDemoNode = importlib.import_module("py.nodes.lora_demo").LoraDemoNode
-    LoraRandomizerNode = importlib.import_module("py.nodes.lora_randomizer").LoraRandomizerNode
+    LoraRandomizerNode = importlib.import_module(
+        "py.nodes.lora_randomizer"
+    ).LoraRandomizerNode
     init_metadata_collector = importlib.import_module("py.metadata_collector").init
 
 NODE_CLASS_MAPPINGS = {
@@ -59,7 +59,6 @@ NODE_CLASS_MAPPINGS = {
     WanVideoLoraSelectLM.NAME: WanVideoLoraSelectLM,
     WanVideoLoraSelectFromText.NAME: WanVideoLoraSelectFromText,
     LoraPoolNode.NAME: LoraPoolNode,
-    LoraDemoNode.NAME: LoraDemoNode,
     LoraRandomizerNode.NAME: LoraRandomizerNode,
 }
 

py/nodes/lora_demo.py

@@ -1,95 +0,0 @@
-"""
-Lora Demo Node - Demonstrates LORAS custom widget type usage.
-
-This node accepts LORAS widget input and outputs a summary string.
-"""
-
-import logging
-import random
-
-logger = logging.getLogger(__name__)
-
-
-class LoraDemoNode:
-    """Demo node that uses LORAS custom widget type."""
-
-    NAME = "Lora Demo (LoraManager)"
-    CATEGORY = "Lora Manager/demo"
-
-    @classmethod
-    def INPUT_TYPES(cls):
-        return {
-            "required": {
-                "loras": ("LORAS", {}),
-            }
-        }
-
-    RETURN_TYPES = ("STRING",)
-    RETURN_NAMES = ("summary",)
-
-    FUNCTION = "process"
-    OUTPUT_NODE = False
-
-    async def process(self, loras):
-        """
-        Process LoRAs input and return summary + UI data for widget.
-
-        Args:
-            loras: List of LoRA dictionaries with structure:
-                [{'name': str, 'strength': float, 'clipStrength': float, 'active': bool, ...}]
-
-        Returns:
-            Dictionary with 'result' (for workflow) and 'ui' (for frontend display)
-        """
-        from ..services.service_registry import ServiceRegistry
-
-        # Get lora scanner to access available loras
-        scanner = await ServiceRegistry.get_lora_scanner()
-
-        # Get available loras from cache
-        available_loras = []
-        try:
-            cache_data = await scanner.get_cached_data(force_refresh=False)
-            if cache_data and hasattr(cache_data, "raw_data"):
-                available_loras = cache_data.raw_data
-        except Exception as e:
-            logger.warning(f"[LoraDemoNode] Failed to get lora cache: {e}")
-
-        # Randomly select 3-5 loras
-        num_to_select = random.randint(3, 5)
-        if len(available_loras) < num_to_select:
-            num_to_select = len(available_loras)
-
-        selected_loras = (
-            random.sample(available_loras, num_to_select) if num_to_select > 0 else []
-        )
-
-        # Generate random loras data for widget
-        widget_loras = []
-        for lora in selected_loras:
-            strength = round(random.uniform(0.1, 1.0), 2)
-            widget_loras.append(
-                {
-                    "name": lora.get("file_name", "Unknown"),
-                    "strength": strength,
-                    "clipStrength": strength,
-                    "active": True,
-                    "expanded": False,
-                }
-            )
-
-        # Create summary string
-        active_names = [l["name"] for l in widget_loras]
-        summary = f"Randomized {len(active_names)} LoRAs: {', '.join(active_names)}"
-
-        logger.info(f"[LoraDemoNode] {summary}")
-
-        # Return format: result for workflow + ui for frontend
-        return {"result": (summary,), "ui": {"loras": widget_loras}}
-
-
-# Node class mappings for ComfyUI
-NODE_CLASS_MAPPINGS = {"LoraDemoNode": LoraDemoNode}
-
-# Display name mappings
-NODE_DISPLAY_NAME_MAPPINGS = {"LoraDemoNode": "LoRA Demo"}