diff --git a/library/common_gui.py b/library/common_gui.py
index 58131b4..d196728 100644
--- a/library/common_gui.py
+++ b/library/common_gui.py
@@ -10,7 +10,7 @@ save_style_symbol = '\U0001f4be'  # 💾
 document_symbol = '\U0001F4C4'   # 📄
 
 # define a list of substrings to search for
-preset_models = [
+all_preset_models = [
     'stabilityai/stable-diffusion-2-1-base',
     'stabilityai/stable-diffusion-2-base',
     'stabilityai/stable-diffusion-2-1',
@@ -19,6 +19,24 @@ preset_models = [
     'runwayml/stable-diffusion-v1-5',
 ]
 
+# define a list of substrings to search for v2 base models
+substrings_v2 = [
+    'stabilityai/stable-diffusion-2-1-base',
+    'stabilityai/stable-diffusion-2-base',
+]
+
+# define a list of substrings to search for v_parameterization models
+substrings_v_parameterization = [
+    'stabilityai/stable-diffusion-2-1',
+    'stabilityai/stable-diffusion-2',
+]
+
+# define a list of substrings to v1.x models
+substrings_v1_model = [
+    'CompVis/stable-diffusion-v1-4',
+    'runwayml/stable-diffusion-v1-5',
+]
+
 
 def update_my_data(my_data):
     if my_data.get('use_8bit_adam', False) == True:
@@ -36,7 +54,7 @@ def update_my_data(my_data):
         my_data['model_list'] = 'custom'
 
     # If Pretrained model name or path is not one of the preset models then set the preset_model to custom
-    if not my_data.get('pretrained_model_name_or_path', '') in preset_models:
+    if not my_data.get('pretrained_model_name_or_path', '') in all_preset_models:
         my_data['model_list'] = 'custom'
 
     return my_data
@@ -300,12 +318,6 @@ def save_inference_file(output_dir, v2, v_parameterization, output_name):
 def set_pretrained_model_name_or_path_input(
     model_list, pretrained_model_name_or_path, v2, v_parameterization
 ):
-    # define a list of substrings to search for
-    substrings_v2 = [
-        'stabilityai/stable-diffusion-2-1-base',
-        'stabilityai/stable-diffusion-2-base',
-    ]
-
     # check if $v2 and $v_parameterization are empty and if $pretrained_model_name_or_path contains any of the substrings in the v2 list
     if str(model_list) in substrings_v2:
         print('SD v2 model detected. Setting --v2 parameter')
@@ -313,12 +325,6 @@ def set_pretrained_model_name_or_path_input(
         v_parameterization = False
         pretrained_model_name_or_path = str(model_list)
 
-    # define a list of substrings to search for v-objective
-    substrings_v_parameterization = [
-        'stabilityai/stable-diffusion-2-1',
-        'stabilityai/stable-diffusion-2',
-    ]
-
     # check if $v2 and $v_parameterization are empty and if $pretrained_model_name_or_path contains any of the substrings in the v_parameterization list
     if str(model_list) in substrings_v_parameterization:
         print(
@@ -328,12 +334,6 @@ def set_pretrained_model_name_or_path_input(
         v_parameterization = True
         pretrained_model_name_or_path = str(model_list)
 
-    # define a list of substrings to v1.x
-    substrings_v1_model = [
-        'CompVis/stable-diffusion-v1-4',
-        'runwayml/stable-diffusion-v1-5',
-    ]
-
     if str(model_list) in substrings_v1_model:
         v2 = False
         v_parameterization = False
@@ -351,6 +351,25 @@ def set_pretrained_model_name_or_path_input(
             v_parameterization = False
     return model_list, pretrained_model_name_or_path, v2, v_parameterization
 
+def set_v2_checkbox(
+    model_list, v2, v_parameterization
+):
+    # check if $v2 and $v_parameterization are empty and if $pretrained_model_name_or_path contains any of the substrings in the v2 list
+    if str(model_list) in substrings_v2:
+        v2 = True
+        v_parameterization = False
+
+    # check if $v2 and $v_parameterization are empty and if $pretrained_model_name_or_path contains any of the substrings in the v_parameterization list
+    if str(model_list) in substrings_v_parameterization:
+        v2 = True
+        v_parameterization = True
+
+    if str(model_list) in substrings_v1_model:
+        v2 = False
+        v_parameterization = False
+
+    return v2, v_parameterization
+
 def set_model_list(
     model_list,
     pretrained_model_name_or_path,
@@ -358,7 +377,7 @@ def set_model_list(
     v_parameterization,
 ):
 
-    if not pretrained_model_name_or_path in preset_models:
+    if not pretrained_model_name_or_path in all_preset_models:
         model_list = 'custom'
     else:
         model_list = pretrained_model_name_or_path
@@ -458,6 +477,8 @@ def gradio_source_model():
             v_parameterization = gr.Checkbox(
                 label='v_parameterization', value=False
             )
+            v2.change(set_v2_checkbox, inputs=[model_list, v2, v_parameterization], outputs=[v2, v_parameterization],show_progress=False)
+            v_parameterization.change(set_v2_checkbox, inputs=[model_list, v2, v_parameterization], outputs=[v2, v_parameterization],show_progress=False)
         model_list.change(
             set_pretrained_model_name_or_path_input,
             inputs=[
@@ -472,6 +493,7 @@ def gradio_source_model():
                 v2,
                 v_parameterization,
             ],
+            show_progress=False,
         )
         # Update the model list and parameters when user click outside the button or field
         pretrained_model_name_or_path.change(
@@ -487,6 +509,7 @@ def gradio_source_model():
                 v2,
                 v_parameterization,
             ],
+            show_progress=False,
         )
     return (
         pretrained_model_name_or_path,