feat(lora-info): add Lora Info display node

Add a pure frontend node that shows filename and editable notes for
a selected LoRA. Connect any output from a LoRA Loader/Stacker/Randomizer/
WanVideoSelect to the lora_source input — selecting a LoRA in the source
widget updates the info display automatically.

- Python node (LoraInfoLM): display-only, no workflow execution
- Vue widget: filename label, auto-sizing notes textarea, save button
  with ComfyUI toast feedback on save
- Frontend extension: wire-based selection propagation with stale-response
  race guard; clears display on wire disconnect
- Backend: get-notes endpoint now returns file_path alongside notes;
  matching supports full-path lora syntax; fix NoneType crash in
  trigger words endpoint; document cache file_name invariant
- Wired into all four lora widget nodes (Loader, Stacker, Randomizer,
  WanVideoSelect)

__init__.py

@@ -15,6 +15,7 @@ try:  # pragma: no cover - import fallback for pytest collection
     from .py.nodes.lora_pool import LoraPoolLM
     from .py.nodes.lora_randomizer import LoraRandomizerLM
     from .py.nodes.lora_cycler import LoraCyclerLM
+    from .py.nodes.lora_info import LoraInfoLM
     from .py.metadata_collector import init as init_metadata_collector
 except (
     ImportError
@@ -56,6 +57,7 @@ except (
         "py.nodes.lora_randomizer"
     ).LoraRandomizerLM
     LoraCyclerLM = importlib.import_module("py.nodes.lora_cycler").LoraCyclerLM
+    LoraInfoLM = importlib.import_module("py.nodes.lora_info").LoraInfoLM
     init_metadata_collector = importlib.import_module("py.metadata_collector").init
 
 NODE_CLASS_MAPPINGS = {
@@ -75,6 +77,7 @@ NODE_CLASS_MAPPINGS = {
     LoraPoolLM.NAME: LoraPoolLM,
     LoraRandomizerLM.NAME: LoraRandomizerLM,
     LoraCyclerLM.NAME: LoraCyclerLM,
+    LoraInfoLM.NAME: LoraInfoLM,
 }
 
 WEB_DIRECTORY = "./web/comfyui"