diff --git a/modules/sd_models_xl.py b/modules/sd_models_xl.py
index 1418348a..89a55635 100644
--- a/modules/sd_models_xl.py
+++ b/modules/sd_models_xl.py
@@ -12,7 +12,7 @@ import ldm_patched.modules.model_management as model_management
 
 
 def get_learned_conditioning(self: sgm.models.diffusion.DiffusionEngine, batch: prompt_parser.SdConditioning | list[str]):
-    model_management.load_model_gpu(self.clip_patcher)
+    model_management.load_model_gpu(self.forge_objects.clip.patcher)
 
     for embedder in self.conditioner.embedders:
         embedder.ucg_rate = 0.0
diff --git a/modules_forge/forge_clip.py b/modules_forge/forge_clip.py
index 65fc2480..b71afd82 100644
--- a/modules_forge/forge_clip.py
+++ b/modules_forge/forge_clip.py
@@ -5,7 +5,7 @@ from modules.shared import opts
 
 class CLIP_SD_15_L(FrozenCLIPEmbedderWithCustomWords):
     def encode_with_transformers(self, tokens):
-        model_management.load_models_gpu([self.patcher.patcher])
+        model_management.load_model_gpu(self.forge_objects.clip.patcher)
         outputs = self.wrapped.transformer(input_ids=tokens, output_hidden_states=-opts.CLIP_stop_at_last_layers)
 
         if opts.CLIP_stop_at_last_layers > 1:
@@ -30,7 +30,7 @@ class CLIP_SD_21_H(FrozenCLIPEmbedderWithCustomWords):
         self.id_pad = 0
 
     def encode_with_transformers(self, tokens):
-        model_management.load_models_gpu([self.patcher.patcher])
+        model_management.load_model_gpu(self.forge_objects.clip.patcher)
         outputs = self.wrapped.transformer(tokens, output_hidden_states=self.wrapped.layer == "hidden")
 
         if self.wrapped.layer == "last":