diff --git a/dreambooth_gui.py b/dreambooth_gui.py
index 337ced1..ff38a5f 100644
--- a/dreambooth_gui.py
+++ b/dreambooth_gui.py
@@ -152,12 +152,8 @@ def save_configuration(
     # Return the values of the variables as a dictionary
     variables = {
         name: value
-        for name, value in parameters  # locals().items()
-        if name
-        not in [
-            'file_path',
-            'save_as',
-        ]
+        for name, value in sorted(parameters, key=lambda x: x[0])
+        if name not in ['file_path', 'save_as']
     }
 
     # Extract the destination directory from the file path
@@ -517,7 +513,7 @@ def train_model(
     run_cmd += f' --train_data_dir="{train_data_dir}"'
     if len(reg_data_dir):
         run_cmd += f' --reg_data_dir="{reg_data_dir}"'
-    run_cmd += f' --resolution={max_resolution}'
+    run_cmd += f' --resolution="{max_resolution}"'
     run_cmd += f' --output_dir="{output_dir}"'
     if not logging_dir == '':
         run_cmd += f' --logging_dir="{logging_dir}"'
diff --git a/finetune_gui.py b/finetune_gui.py
index 8cfa0ef..c4d8732 100644
--- a/finetune_gui.py
+++ b/finetune_gui.py
@@ -151,12 +151,8 @@ def save_configuration(
     # Return the values of the variables as a dictionary
     variables = {
         name: value
-        for name, value in parameters  # locals().items()
-        if name
-        not in [
-            'file_path',
-            'save_as',
-        ]
+        for name, value in sorted(parameters, key=lambda x: x[0])
+        if name not in ['file_path', 'save_as']
     }
 
     # Extract the destination directory from the file path
@@ -501,7 +497,7 @@ def train_model(
     run_cmd += f' --learning_rate={learning_rate}'
 
     run_cmd += ' --enable_bucket'
-    run_cmd += f' --resolution={max_resolution}'
+    run_cmd += f' --resolution="{max_resolution}"'
     run_cmd += f' --min_bucket_reso={min_bucket_reso}'
     run_cmd += f' --max_bucket_reso={max_bucket_reso}'
 
diff --git a/library/common_gui.py b/library/common_gui.py
index cd70994..66887ea 100644
--- a/library/common_gui.py
+++ b/library/common_gui.py
@@ -1002,8 +1002,8 @@ def gradio_advanced_training(headless=False):
         bucket_no_upscale = gr.Checkbox(
             label="Don't upscale bucket resolution", value=True
         )
-        bucket_reso_steps = gr.Number(
-            label='Bucket resolution steps', value=64
+        bucket_reso_steps = gr.Slider(
+            label='Bucket resolution steps', value=64, minimum=1, maximum=128
         )
         random_crop = gr.Checkbox(
             label='Random crop instead of center crop', value=False
diff --git a/lora_gui.py b/lora_gui.py
index 255d419..db874e7 100644
--- a/lora_gui.py
+++ b/lora_gui.py
@@ -190,12 +190,8 @@ def save_configuration(
     # Return the values of the variables as a dictionary
     variables = {
         name: value
-        for name, value in parameters  # locals().items()
-        if name
-        not in [
-            'file_path',
-            'save_as',
-        ]
+        for name, value in sorted(parameters, key=lambda x: x[0])
+        if name not in ['file_path', 'save_as']
     }
 
     # Extract the destination directory from the file path
@@ -652,7 +648,7 @@ def train_model(
     run_cmd += f' --train_data_dir="{train_data_dir}"'
     if len(reg_data_dir):
         run_cmd += f' --reg_data_dir="{reg_data_dir}"'
-    run_cmd += f' --resolution={max_resolution}'
+    run_cmd += f' --resolution="{max_resolution}"'
     run_cmd += f' --output_dir="{output_dir}"'
     if not logging_dir == '':
         run_cmd += f' --logging_dir="{logging_dir}"'
diff --git a/textual_inversion_gui.py b/textual_inversion_gui.py
index f7581d8..7c9580c 100644
--- a/textual_inversion_gui.py
+++ b/textual_inversion_gui.py
@@ -157,12 +157,8 @@ def save_configuration(
     # Return the values of the variables as a dictionary
     variables = {
         name: value
-        for name, value in parameters  # locals().items()
-        if name
-        not in [
-            'file_path',
-            'save_as',
-        ]
+        for name, value in sorted(parameters, key=lambda x: x[0])
+        if name not in ['file_path', 'save_as']
     }
 
     # Extract the destination directory from the file path
@@ -530,7 +526,7 @@ def train_model(
     run_cmd += f' --train_data_dir="{train_data_dir}"'
     if len(reg_data_dir):
         run_cmd += f' --reg_data_dir="{reg_data_dir}"'
-    run_cmd += f' --resolution={max_resolution}'
+    run_cmd += f' --resolution="{max_resolution}"'
     run_cmd += f' --output_dir="{output_dir}"'
     if not logging_dir == '':
         run_cmd += f' --logging_dir="{logging_dir}"'