fixed: torch_wrapper – When weights_only is explicitly provided, pass the arg as is.

__init__.py

@@ -8,7 +8,7 @@
 import importlib
 import logging
 
-version_code = [1, 2, 6]
+version_code = [1, 2, 7]
 version_str = f"V{version_code[0]}.{version_code[1]}" + (f'.{version_code[2]}' if len(version_code) > 2 else '')
 logging.info(f"### Loading: ComfyUI-Impact-Subpack ({version_str})")
 

modules/subcore.py

@@ -137,11 +137,24 @@ except Exception as e:
 # HOTFIX: https://github.com/ltdrdata/ComfyUI-Impact-Pack/issues/754
 # importing YOLO breaking original torch.load capabilities
 def torch_wrapper(*args, **kwargs):
+    # NOTE: A trick to support code based on `'weights_only' in torch.load.__code__.co_varnames`.
+    if 'weights_only' in kwargs:
+        weights_only = kwargs.pop('weights_only')
+    else:
+        weights_only = None
+
     if hasattr(torch.serialization, 'safe_globals'):
+        if weights_only is not None:
+            kwargs['weights_only'] = weights_only
+
         return orig_torch_load(*args, **kwargs)  # NOTE: This code simply delegates the call to torch.load, and any errors that occur here are not the responsibility of Subpack.
     else:
-        logging.warning("[Impact Subpack] Your torch version is outdated, and security features cannot be applied properly.")
-        kwargs['weights_only'] = False
+        if weights_only is not None:
+            kwargs['weights_only'] = weights_only
+        else:
+            logging.warning("[Impact Subpack] Your torch version is outdated, and security features cannot be applied properly.")
+            kwargs['weights_only'] = False
+
         return orig_torch_load(*args, **kwargs)
 
 torch.load = torch_wrapper

pyproject.toml

@@ -1,7 +1,7 @@
 [project]
 name = "comfyui-impact-subpack"
 description = "This node pack provides nodes that complement the Impact Pack, such as the UltralyticsDetectorProvider."
-version = "1.2.6"
+version = "1.2.7"
 license = { file = "LICENSE.txt" }
 dependencies = ["matplotlib", "ultralytics==8.3.40"]