diff --git a/modules/extras.py b/modules/extras.py
index badd13c7..2bf0d17e 100644
--- a/modules/extras.py
+++ b/modules/extras.py
@@ -132,7 +132,7 @@ def run_modelmerger(id_task, primary_model_name, secondary_model_name, tertiary_
     tertiary_model_info = sd_models.checkpoints_list[tertiary_model_name] if theta_func1 else None
 
     result_is_inpainting_model = False
-    result_is_pix2pix_model = False
+    result_is_instruct_pix2pix_model = False
 
     if theta_func2:
         shared.state.textinfo = f"Loading B"
@@ -187,11 +187,11 @@ def run_modelmerger(id_task, primary_model_name, secondary_model_name, tertiary_
                 if a.shape[1] == 4 and b.shape[1] == 9:
                     raise RuntimeError("When merging inpainting model with a normal one, A must be the inpainting model.")
                 if a.shape[1] == 4 and b.shape[1] == 8:
-                    raise RuntimeError("When merging pix2pix model with a normal one, A must be the pix2pix model.")
+                    raise RuntimeError("When merging instruct-pix2pix model with a normal one, A must be the instruct-pix2pix model.")
 
-                if a.shape[1] == 8 and b.shape[1] == 4:#If we have an InstructPix2Pix model...
+                if a.shape[1] == 8 and b.shape[1] == 4:#If we have an Instruct-Pix2Pix model...
                     theta_0[key][:, 0:4, :, :] = theta_func2(a[:, 0:4, :, :], b, multiplier)#Merge only the vectors the models have in common.  Otherwise we get an error due to dimension mismatch.
-                    result_is_pix2pix_model = True
+                    result_is_instruct_pix2pix_model = True
                 else:
                     assert a.shape[1] == 9 and b.shape[1] == 4, f"Bad dimensions for merged layer {key}: A={a.shape}, B={b.shape}"
                     theta_0[key][:, 0:4, :, :] = theta_func2(a[:, 0:4, :, :], b, multiplier)
@@ -232,7 +232,7 @@ def run_modelmerger(id_task, primary_model_name, secondary_model_name, tertiary_
 
     filename = filename_generator() if custom_name == '' else custom_name
     filename += ".inpainting" if result_is_inpainting_model else ""
-    filename += ".pix2pix" if result_is_pix2pix_model else ""
+    filename += ".instrpix2pix" if result_is_instruct_pix2pix_model else ""
     filename += "." + checkpoint_format
 
     output_modelname = os.path.join(ckpt_dir, filename)