diff --git a/modules/extras.py b/modules/extras.py
index 88eea22e..367c15cc 100644
--- a/modules/extras.py
+++ b/modules/extras.py
@@ -278,6 +278,11 @@ def run_modelmerger(primary_model_name, secondary_model_name, tertiary_model_nam
     shared.state.begin()
     shared.state.job = 'model-merge'
 
+    def fail(message):
+        shared.state.textinfo = message
+        shared.state.end()
+        return [message, *[gr.update() for _ in range(4)]]
+
     def weighted_sum(theta0, theta1, alpha):
         return ((1 - alpha) * theta0) + (alpha * theta1)
 
@@ -288,16 +293,12 @@ def run_modelmerger(primary_model_name, secondary_model_name, tertiary_model_nam
         return theta0 + (alpha * theta1_2_diff)
 
     if not primary_model_name:
-        shared.state.textinfo = "Failed: Merging requires a primary model."
-        shared.state.end()
-        return ["Failed: Merging requires a primary model."] + [gr.Dropdown.update(choices=sd_models.checkpoint_tiles()) for _ in range(4)]
+        return fail("Failed: Merging requires a primary model.")
 
     primary_model_info = sd_models.checkpoints_list[primary_model_name]
 
     if not secondary_model_name:
-        shared.state.textinfo = "Failed: Merging requires a secondary model."
-        shared.state.end()
-        return ["Failed: Merging requires a secondary model."] + [gr.Dropdown.update(choices=sd_models.checkpoint_tiles()) for _ in range(4)]
+        return fail("Failed: Merging requires a secondary model.")
     
     secondary_model_info = sd_models.checkpoints_list[secondary_model_name]
 
@@ -308,9 +309,7 @@ def run_modelmerger(primary_model_name, secondary_model_name, tertiary_model_nam
     theta_func1, theta_func2 = theta_funcs[interp_method]
 
     if theta_func1 and not tertiary_model_name:
-        shared.state.textinfo = "Failed: Interpolation method requires a tertiary model."
-        shared.state.end()
-        return [f"Failed: Interpolation method ({interp_method}) requires a tertiary model."] + [gr.Dropdown.update(choices=sd_models.checkpoint_tiles()) for _ in range(4)]
+        return fail(f"Failed: Interpolation method ({interp_method}) requires a tertiary model.")
     
     tertiary_model_info = sd_models.checkpoints_list[tertiary_model_name] if theta_func1 else None