diff --git a/modules/extras.py b/modules/extras.py
index d03f976e3..1218f88fc 100644
--- a/modules/extras.py
+++ b/modules/extras.py
@@ -275,7 +275,7 @@ def create_config(ckpt_result, config_source, a, b, c):
     shutil.copyfile(cfg, checkpoint_filename)
 
 
-chckpoint_dict_skip_on_merge = ["cond_stage_model.transformer.text_model.embeddings.position_ids"]
+checkpoint_dict_skip_on_merge = ["cond_stage_model.transformer.text_model.embeddings.position_ids"]
 
 
 def to_half(tensor, enable):
@@ -303,7 +303,7 @@ def run_modelmerger(id_task, primary_model_name, secondary_model_name, tertiary_
     def add_difference(theta0, theta1_2_diff, alpha):
         return theta0 + (alpha * theta1_2_diff)
 
-    def filename_weighed_sum():
+    def filename_weighted_sum():
         a = primary_model_info.model_name
         b = secondary_model_info.model_name
         Ma = round(1 - multiplier, 2)
@@ -311,7 +311,7 @@ def run_modelmerger(id_task, primary_model_name, secondary_model_name, tertiary_
 
         return f"{Ma}({a}) + {Mb}({b})"
 
-    def filename_add_differnece():
+    def filename_add_difference():
         a = primary_model_info.model_name
         b = secondary_model_info.model_name
         c = tertiary_model_info.model_name
@@ -323,8 +323,8 @@ def run_modelmerger(id_task, primary_model_name, secondary_model_name, tertiary_
         return primary_model_info.model_name
 
     theta_funcs = {
-        "Weighted sum": (filename_weighed_sum, None, weighted_sum),
-        "Add difference": (filename_add_differnece, get_difference, add_difference),
+        "Weighted sum": (filename_weighted_sum, None, weighted_sum),
+        "Add difference": (filename_add_difference, get_difference, add_difference),
         "No interpolation": (filename_nothing, None, None),
     }
     filename_generator, theta_func1, theta_func2 = theta_funcs[interp_method]
@@ -362,7 +362,7 @@ def run_modelmerger(id_task, primary_model_name, secondary_model_name, tertiary_
         shared.state.textinfo = 'Merging B and C'
         shared.state.sampling_steps = len(theta_1.keys())
         for key in tqdm.tqdm(theta_1.keys()):
-            if key in chckpoint_dict_skip_on_merge:
+            if key in checkpoint_dict_skip_on_merge:
                 continue
 
             if 'model' in key:
@@ -387,7 +387,7 @@ def run_modelmerger(id_task, primary_model_name, secondary_model_name, tertiary_
     for key in tqdm.tqdm(theta_0.keys()):
         if theta_1 and 'model' in key and key in theta_1:
 
-            if key in chckpoint_dict_skip_on_merge:
+            if key in checkpoint_dict_skip_on_merge:
                 continue
 
             a = theta_0[key]