refactor(nodes): standardize node class names with LM suffix

Rename all node classes to use consistent 'LM' suffix pattern:
- LoraCyclerNode → LoraCyclerLM
- LoraManagerLoader → LoraLoaderLM
- LoraManagerTextLoader → LoraTextLoaderLM
- LoraStacker → LoraStackerLM
- LoraRandomizerNode → LoraRandomizerLM
- LoraPoolNode → LoraPoolLM
- WanVideoLoraSelectFromText → WanVideoLoraTextSelectLM
- DebugMetadata → DebugMetadataLM
- TriggerWordToggle → TriggerWordToggleLM
- PromptLoraManager → PromptLM

Updated:
- Core node class definitions (9 files)
- NODE_CLASS_MAPPINGS in __init__.py
- Node type mappings in node_extractors.py
- All related test imports and references
- Logger prefixes for consistency

Frontend extension names remain unchanged (LoraManager.LoraStacker, etc.)

py/metadata_collector/node_extractors.py

@@ -714,10 +714,10 @@ NODE_EXTRACTORS = {
     "UNETLoader": UNETLoaderExtractor,          # Updated to use dedicated extractor
     "UnetLoaderGGUF": UNETLoaderExtractor,  # Updated to use dedicated extractor
     "LoraLoader": LoraLoaderExtractor,
-    "LoraManagerLoader": LoraLoaderManagerExtractor,
+    "LoraLoaderLM": LoraLoaderManagerExtractor,
     # Conditioning
     "CLIPTextEncode": CLIPTextEncodeExtractor,
-    "PromptLoraManager": CLIPTextEncodeExtractor,
+    "PromptLM": CLIPTextEncodeExtractor,
     "CLIPTextEncodeFlux": CLIPTextEncodeFluxExtractor,  # Add CLIPTextEncodeFlux
     "WAS_Text_to_Conditioning": CLIPTextEncodeExtractor,
     "AdvancedCLIPTextEncode": CLIPTextEncodeExtractor,  # From https://github.com/BlenderNeko/ComfyUI_ADV_CLIP_emb

py/nodes/debug_metadata.py

@@ -4,7 +4,7 @@ from ..metadata_collector.metadata_processor import MetadataProcessor
 logger = logging.getLogger(__name__)
 
 
-class DebugMetadata:
+class DebugMetadataLM:
     NAME = "Debug Metadata (LoraManager)"
     CATEGORY = "Lora Manager/utils"
     DESCRIPTION = "Debug node to verify metadata_processor functionality"

py/nodes/lora_cycler.py

@@ -13,7 +13,7 @@ from ..utils.utils import get_lora_info
 logger = logging.getLogger(__name__)
 
 
-class LoraCyclerNode:
+class LoraCyclerLM:
     """Node that sequentially cycles through LoRAs from a pool"""
 
     NAME = "Lora Cycler (LoraManager)"
@@ -72,7 +72,7 @@ class LoraCyclerNode:
         total_count = len(lora_list)
 
         if total_count == 0:
-            logger.warning("[LoraCyclerNode] No LoRAs available in pool")
+            logger.warning("[LoraCyclerLM] No LoRAs available in pool")
             return {
                 "result": ([],),
                 "ui": {
@@ -103,7 +103,7 @@ class LoraCyclerNode:
         lora_path, _ = get_lora_info(current_lora["file_name"])
         if not lora_path:
             logger.warning(
-                f"[LoraCyclerNode] Could not find path for LoRA: {current_lora['file_name']}"
+                f"[LoraCyclerLM] Could not find path for LoRA: {current_lora['file_name']}"
             )
             lora_stack = []
         else:

py/nodes/lora_loader.py

@@ -6,7 +6,7 @@ from .utils import FlexibleOptionalInputType, any_type, extract_lora_name, get_l
 
 logger = logging.getLogger(__name__)
 
-class LoraManagerLoader:
+class LoraLoaderLM:
     NAME = "Lora Loader (LoraManager)"
     CATEGORY = "Lora Manager/loaders"
     
@@ -128,7 +128,7 @@ class LoraManagerLoader:
 
         return (model, clip, trigger_words_text, formatted_loras_text)
 
-class LoraManagerTextLoader:
+class LoraTextLoaderLM:
     NAME = "LoRA Text Loader (LoraManager)"
     CATEGORY = "Lora Manager/loaders"
     

py/nodes/lora_pool.py

@@ -10,7 +10,7 @@ import logging
 logger = logging.getLogger(__name__)
 
 
-class LoraPoolNode:
+class LoraPoolLM:
     """
     A node that defines LoRA filter criteria through a Vue-based widget.
 
@@ -67,7 +67,7 @@ class LoraPoolNode:
         filters = pool_config.get("filters", self._default_config()["filters"])
 
         # Log for debugging
-        logger.debug(f"[LoraPoolNode] Processing filters: {filters}")
+        logger.debug(f"[LoraPoolLM] Processing filters: {filters}")
 
         return (filters,)
 

py/nodes/lora_randomizer.py

@@ -15,7 +15,7 @@ from .utils import extract_lora_name
 logger = logging.getLogger(__name__)
 
 
-class LoraRandomizerNode:
+class LoraRandomizerLM:
     """Node that randomly selects LoRAs from a pool"""
 
     NAME = "Lora Randomizer (LoraManager)"
@@ -72,7 +72,7 @@ class LoraRandomizerNode:
         loras = self._preprocess_loras_input(loras)
 
         roll_mode = randomizer_config.get("roll_mode", "always")
-        logger.debug(f"[LoraRandomizerNode] roll_mode: {roll_mode}")
+        logger.debug(f"[LoraRandomizerLM] roll_mode: {roll_mode}")
 
         # Dual seed mechanism for batch queue synchronization
         # execution_seed: seed for generating execution_stack (= previous next_seed)
@@ -127,7 +127,7 @@ class LoraRandomizerNode:
             lora_path, trigger_words = get_lora_info(lora["name"])
             if not lora_path:
                 logger.warning(
-                    f"[LoraRandomizerNode] Could not find path for LoRA: {lora['name']}"
+                    f"[LoraRandomizerLM] Could not find path for LoRA: {lora['name']}"
                 )
                 continue
 

py/nodes/lora_stacker.py

@@ -6,7 +6,7 @@ import logging
 
 logger = logging.getLogger(__name__)
 
-class LoraStacker:
+class LoraStackerLM:
     NAME = "Lora Stacker (LoraManager)"
     CATEGORY = "Lora Manager/stackers"
 

py/nodes/prompt.py

@@ -1,6 +1,6 @@
 from typing import Any, Optional
 
-class PromptLoraManager:
+class PromptLM:
     """Encodes text (and optional trigger words) into CLIP conditioning."""
 
     NAME = "Prompt (LoraManager)"

py/nodes/trigger_word_toggle.py

@@ -6,7 +6,7 @@ import logging
 logger = logging.getLogger(__name__)
 
 
-class TriggerWordToggle:
+class TriggerWordToggleLM:
     NAME = "TriggerWord Toggle (LoraManager)"
     CATEGORY = "Lora Manager/utils"
     DESCRIPTION = "Toggle trigger words on/off"

py/nodes/wanvideo_lora_select_from_text.py

@@ -7,7 +7,7 @@ import logging
 logger = logging.getLogger(__name__)
 
 # 定义新节点的类
-class WanVideoLoraSelectFromText:
+class WanVideoLoraTextSelectLM:
     # 节点在UI中显示的名称
     NAME = "WanVideo Lora Select From Text (LoraManager)"
     # 节点所属的分类
@@ -117,9 +117,9 @@ class WanVideoLoraSelectFromText:
         return (loras_list, trigger_words_text, active_loras_text)
 
 NODE_CLASS_MAPPINGS = {
-    "WanVideoLoraSelectFromText": WanVideoLoraSelectFromText
+    "WanVideoLoraTextSelectLM": WanVideoLoraTextSelectLM
 }
 
 NODE_DISPLAY_NAME_MAPPINGS = {
-    "WanVideoLoraSelectFromText": "WanVideo Lora Select From Text (LoraManager)"
+    "WanVideoLoraTextSelectLM": "WanVideo Lora Select From Text (LoraManager)"
 }