diff --git a/nodes/nodes.py b/nodes/nodes.py
index 76a1fa3..0a0b726 100644
--- a/nodes/nodes.py
+++ b/nodes/nodes.py
@@ -1646,7 +1646,7 @@ class LoadICLightUnet:
     CATEGORY = "KJNodes/experimental"
 
     def load(self, model, model_path):
-        print("LoadICLightUnet: Checking ResAdapter path")
+        print("LoadICLightUnet: Checking LoadICLightUnet path")
         model_full_path = folder_paths.get_full_path("unet", model_path)
         if not os.path.exists(model_full_path):
             raise Exception("Invalid model path")
@@ -1657,6 +1657,7 @@ class LoadICLightUnet:
 
             conv_layer = model_clone.model.diffusion_model.input_blocks[0][0]
             print(f"Current number of input channels: {conv_layer.in_channels}")
+            
             # Create a new Conv2d layer with 8 input channels
             new_conv_layer = torch.nn.Conv2d(8, conv_layer.out_channels, kernel_size=conv_layer.kernel_size, stride=conv_layer.stride, padding=conv_layer.padding)
             new_conv_layer.weight.zero_()
@@ -1668,7 +1669,19 @@ class LoadICLightUnet:
             model_clone.model.diffusion_model.input_blocks[0][0] = new_conv_layer
             # Verify the change
             print(f"New number of input channels: {model_clone.model.diffusion_model.input_blocks[0][0].in_channels}")
+            
+            # Monkey patch because I don't know what I'm doing
+            from comfy.model_base import IP2P
+            import types
+            base_model_instance = model_clone.model
 
+            # Dynamically add the extra_conds method from IP2P to the instance of BaseModel
+            def bound_extra_conds(self, **kwargs):
+                return IP2P.extra_conds(self, **kwargs)
+            base_model_instance.process_ip2p_image_in = lambda image: image
+            base_model_instance.extra_conds = types.MethodType(bound_extra_conds, base_model_instance)
+           
+            # Some Proper patching
             new_state_dict = load_torch_file(model_full_path)
             prefix_to_remove = 'model.'
             new_keys_dict = {key[len(prefix_to_remove):]: new_state_dict[key] for key in new_state_dict if key.startswith(prefix_to_remove)}
@@ -1677,11 +1690,9 @@ class LoadICLightUnet:
             try:
                 for key in new_keys_dict:
                     model_clone.add_patches({key: (new_keys_dict[key],)}, 1.0, 1.0)
-                    #print(f"Added patch for: {key}")
             except:
                 raise Exception("Could not patch model")
             print("LoadICLightUnet: Added LoadICLightUnet patches")
-            #model_clone.model.diffusion_model.in_channels = 8
 
             return (model_clone, )