fix(nodes): snapshot scanner cache before iterating on executor thread

Node code reads cache.raw_data while MetadataSyncService may mutate it
from a background thread; iterate over a list() snapshot to avoid a
possible 'list changed size during iteration' RuntimeError.

py/nodes/checkpoint_loader.py

@@ -78,7 +78,7 @@ class CheckpointLoaderLM:
 
                 # Filter only checkpoint type (not diffusion_model) and format names
                 names = []
-                for item in cache.raw_data:
+                for item in list(cache.raw_data):
                     if item.get("sub_type") == "checkpoint":
                         file_path = item.get("file_path", "")
                         # Only offer models that still exist on disk so ComfyUI
@@ -126,7 +126,7 @@ class CheckpointLoaderLM:
                 cache = await scanner.get_cached_data()
 
                 base_models = set()
-                for item in cache.raw_data:
+                for item in list(cache.raw_data):
                     if item.get("sub_type") != "checkpoint":
                         continue
                     base_model = item.get("base_model")

py/nodes/save_image.py

@@ -601,7 +601,7 @@ class SaveImageLM:
             os.path.basename(name),
             os.path.splitext(os.path.basename(name))[0],
         ]
-        for model in getattr(cache, "raw_data", []):
+        for model in list(getattr(cache, "raw_data", [])):
             file_name = model.get("file_name")
             if file_name in candidates:
                 return model

py/nodes/unet_loader.py

@@ -93,7 +93,7 @@ class UNETLoaderLM:
 
                 # Filter only diffusion_model type and format names
                 names = []
-                for item in cache.raw_data:
+                for item in list(cache.raw_data):
                     if item.get("sub_type") == "diffusion_model":
                         file_path = item.get("file_path", "")
                         # Only offer models that still exist on disk so ComfyUI
@@ -141,7 +141,7 @@ class UNETLoaderLM:
                 cache = await scanner.get_cached_data()
 
                 base_models = set()
-                for item in cache.raw_data:
+                for item in list(cache.raw_data):
                     if item.get("sub_type") != "diffusion_model":
                         continue
                     base_model = item.get("base_model")

py/nodes/utils.py

@@ -156,7 +156,7 @@ def _find_missing_loras(names: list[str]) -> list[str]:
 
         lookup = {}
         basename_candidates = {}
-        for item in cache.raw_data:
+        for item in list(cache.raw_data):
             file_path = item.get("file_path")
             if not file_path:
                 continue