diff --git a/finetune_gui.py b/finetune_gui.py
index 1daa2d3..3ef1cbd 100644
--- a/finetune_gui.py
+++ b/finetune_gui.py
@@ -224,19 +224,19 @@ def open_config_file(
     if not file_path == '' and not file_path == None:
         # load variables from JSON file
         with open(file_path, 'r') as f:
-            my_data_db = json.load(f)
+            my_data = json.load(f)
             print('Loading config...')
             # Update values to fix deprecated use_8bit_adam checkbox and set appropriate optimizer if it is set to True
             my_data = update_my_data(my_data)
     else:
         file_path = original_file_path  # In case a file_path was provided and the user decide to cancel the open action
-        my_data_db = {}
+        my_data = {}
 
     values = [file_path]
     for key, value in parameters:
         # Set the value in the dictionary to the corresponding value in `my_data`, or the default value if not found
         if not key in ['file_path']:
-            values.append(my_data_db.get(key, value))
+            values.append(my_data.get(key, value))
     return tuple(values)
 
 
diff --git a/library/common_gui.py b/library/common_gui.py
index c42c61d..b22594f 100644
--- a/library/common_gui.py
+++ b/library/common_gui.py
@@ -49,6 +49,15 @@ def update_my_data(my_data):
     # 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 ALL_PRESET_MODELS:
         my_data['model_list'] = 'custom'
+    
+    # Fix old config files that contain epoch as str instead of int
+    for key in ['epoch', 'save_every_n_epochs']:
+        value = my_data.get(key, -1)
+        if type(value) == str:
+            if value != '':
+                my_data[key] = int(value)
+            else:
+                my_data[key] = -1
 
     return my_data
 
@@ -526,8 +535,8 @@ def gradio_training(
             value=1,
             step=1,
         )
-        epoch = gr.Textbox(label='Epoch', value=1)
-        save_every_n_epochs = gr.Textbox(label='Save every N epochs', value=1)
+        epoch = gr.Number(label='Epoch', value=1, precision=0)
+        save_every_n_epochs = gr.Number(label='Save every N epochs', value=1, precision=0)
         caption_extension = gr.Textbox(
             label='Caption Extension',
             placeholder='(Optional) Extension for caption files. default: .caption',
@@ -634,8 +643,8 @@ def run_cmd_training(**kwargs):
         f' --max_train_steps="{kwargs.get("max_train_steps", "")}"'
         if kwargs.get('max_train_steps')
         else '',
-        f' --save_every_n_epochs="{kwargs.get("save_every_n_epochs", "")}"'
-        if kwargs.get('save_every_n_epochs')
+        f' --save_every_n_epochs="{int(kwargs.get("save_every_n_epochs", 1))}"'
+        if int(kwargs.get('save_every_n_epochs'))
         else '',
         f' --mixed_precision="{kwargs.get("mixed_precision", "")}"'
         if kwargs.get('mixed_precision')
@@ -643,7 +652,9 @@ def run_cmd_training(**kwargs):
         f' --save_precision="{kwargs.get("save_precision", "")}"'
         if kwargs.get('save_precision')
         else '',
-        f' --seed="{kwargs.get("seed", "")}"' if kwargs.get('seed') else '',
+        f' --seed="{kwargs.get("seed", "")}"'
+        if kwargs.get('seed') != ""
+        else '',
         f' --caption_extension="{kwargs.get("caption_extension", "")}"'
         if kwargs.get('caption_extension')
         else '',
diff --git a/textual_inversion_gui.py b/textual_inversion_gui.py
index fa8f53e..c92bdc0 100644
--- a/textual_inversion_gui.py
+++ b/textual_inversion_gui.py
@@ -232,19 +232,19 @@ def open_configuration(
     if not file_path == '' and not file_path == None:
         # load variables from JSON file
         with open(file_path, 'r') as f:
-            my_data_db = json.load(f)
+            my_data = json.load(f)
             print('Loading config...')
             # Update values to fix deprecated use_8bit_adam checkbox and set appropriate optimizer if it is set to True
             my_data = update_my_data(my_data)
     else:
         file_path = original_file_path  # In case a file_path was provided and the user decide to cancel the open action
-        my_data_db = {}
+        my_data = {}
 
     values = [file_path]
     for key, value in parameters:
         # Set the value in the dictionary to the corresponding value in `my_data`, or the default value if not found
         if not key in ['file_path']:
-            values.append(my_data_db.get(key, value))
+            values.append(my_data.get(key, value))
     return tuple(values)
 
 
diff --git a/train_textual_inversion.py b/train_textual_inversion.py
index d91a78f..810e850 100644
--- a/train_textual_inversion.py
+++ b/train_textual_inversion.py
@@ -172,6 +172,8 @@ def train(args):
   blueprint = blueprint_generator.generate(user_config, args, tokenizer=tokenizer)
   train_dataset_group = config_util.generate_dataset_group_by_blueprint(blueprint.dataset_group)
 
+  prompt_replacement = None
+
   # make captions: tokenstring tokenstring1 tokenstring2 ...tokenstringn という文字列に書き換える超乱暴な実装
   if use_template:
     print("use template for training captions. is object: {args.use_object_template}")