diff --git a/comfy/controlnet.py b/comfy/controlnet.py
index 416197586a1..f859a50d4c3 100644
--- a/comfy/controlnet.py
+++ b/comfy/controlnet.py
@@ -287,13 +287,13 @@ class control_lora_ops(ControlLoraOps, comfy.ops.manual_cast):
         for k in sd:
             weight = sd[k]
             try:
-                comfy.utils.set_attr(self.control_model, k, weight)
+                comfy.utils.set_attr_param(self.control_model, k, weight)
             except:
                 pass
 
         for k in self.control_weights:
             if k not in {"lora_controlnet"}:
-                comfy.utils.set_attr(self.control_model, k, self.control_weights[k].to(dtype).to(comfy.model_management.get_torch_device()))
+                comfy.utils.set_attr_param(self.control_model, k, self.control_weights[k].to(dtype).to(comfy.model_management.get_torch_device()))
 
     def copy(self):
         c = ControlLora(self.control_weights, global_average_pooling=self.global_average_pooling)
diff --git a/comfy/model_patcher.py b/comfy/model_patcher.py
index f29781f319a..604e347799c 100644
--- a/comfy/model_patcher.py
+++ b/comfy/model_patcher.py
@@ -176,10 +176,9 @@ def model_state_dict(self, filter_prefix=None):
 
     def patch_model(self, device_to=None, patch_weights=True):
         for k in self.object_patches:
-            old = comfy.utils.get_attr(self.model, k)
+            old = comfy.utils.set_attr(self.model, k, self.object_patches[k])
             if k not in self.object_patches_backup:
                 self.object_patches_backup[k] = old
-            comfy.utils.set_attr(self.model, k, self.object_patches[k])
 
         if patch_weights:
             model_sd = self.model_state_dict()
@@ -203,7 +202,7 @@ def patch_model(self, device_to=None, patch_weights=True):
                 if inplace_update:
                     comfy.utils.copy_to_param(self.model, key, out_weight)
                 else:
-                    comfy.utils.set_attr(self.model, key, out_weight)
+                    comfy.utils.set_attr_param(self.model, key, out_weight)
                 del temp_weight
 
             if device_to is not None:
@@ -342,7 +341,7 @@ def unpatch_model(self, device_to=None):
                 comfy.utils.copy_to_param(self.model, k, self.backup[k])
         else:
             for k in keys:
-                comfy.utils.set_attr(self.model, k, self.backup[k])
+                comfy.utils.set_attr_param(self.model, k, self.backup[k])
 
         self.backup = {}
 
diff --git a/comfy/utils.py b/comfy/utils.py
index 41f730c8ecf..5deb14cd2de 100644
--- a/comfy/utils.py
+++ b/comfy/utils.py
@@ -294,8 +294,11 @@ def set_attr(obj, attr, value):
     for name in attrs[:-1]:
         obj = getattr(obj, name)
     prev = getattr(obj, attrs[-1])
-    setattr(obj, attrs[-1], torch.nn.Parameter(value, requires_grad=False))
-    del prev
+    setattr(obj, attrs[-1], value)
+    return prev
+
+def set_attr_param(obj, attr, value):
+    return set_attr(obj, attr, torch.nn.Parameter(value, requires_grad=False))
 
 def copy_to_param(obj, attr, value):
     # inplace update tensor instead of replacing it