Update zh-TW locale to 23.0.11.

kohya_gui/blip_caption_gui.py

@@ -142,7 +142,7 @@ def list_train_dirs(path):
         with gr.Row():
             caption_file_ext = gr.Textbox(
                 label="Caption file extension",
-                placeholder="Extension for caption file, e.g., .caption, .txt",
+                placeholder="Extension for caption file (e.g., .caption, .txt)",
                 value=".txt",
                 interactive=True,
             )

kohya_gui/class_advanced_training.py

@@ -289,7 +289,7 @@ def full_options_update(full_fp16, full_bf16):
                     minimum=0,
                     maximum=1,
                     step=0.01,
-                    info="recommended values are 0.05 - 0.15",
+                    info='Recommended values are 0.05 - 0.15',
                 )
                 self.adaptive_noise_scale = gr.Slider(
                     label="Adaptive noise scale",
@@ -306,15 +306,15 @@ def full_options_update(full_fp16, full_bf16):
                     minimum=0,
                     maximum=64,
                     step=1,
-                    info="enable multires noise (recommended values are 6-10)",
+                  info='Enable multires noise (recommended values are 6-10)',
                 )
                 self.multires_noise_discount = gr.Slider(
                     label="Multires noise discount",
                     value=0,
                     minimum=0,
                     maximum=1,
                     step=0.01,
-                    info="recommended values are 0.8. For LoRAs with small datasets, 0.1-0.3",
+                    info='Recommended values are 0.8. For LoRAs with small datasets, 0.1-0.3',
                 )
             self.noise_offset_type.change(
                 noise_offset_type_change,

kohya_gui/extract_lycoris_locon_gui.py

@@ -110,7 +110,7 @@ def extract_lycoris_locon(
 
     # Run the command
     subprocess.run(run_cmd, shell=True, env=env)
-        
+
     log.info('Done extracting...')
 
 
@@ -166,7 +166,7 @@ def list_save_to(path):
         current_save_dir = path
         return list(list_files(path, exts=[".safetensors"], all=True))
 
-    with gr.Tab("Extract LyCORIS LoCON"):
+    with gr.Tab("Extract LyCORIS LoCon"):
         gr.Markdown(
             "This utility can extract a LyCORIS LoCon network from a finetuned model."
         )

kohya_gui/git_caption_gui.py

@@ -104,19 +104,19 @@ def list_train_dirs(path):
         with gr.Row():
             caption_ext = gr.Textbox(
                 label='Caption file extension',
-                placeholder='Extention for caption file. eg: .caption, .txt',
+                placeholder='Extension for caption file (e.g., .caption, .txt)',
                 value='.txt',
                 interactive=True,
             )
 
             prefix = gr.Textbox(
-                label='Prefix to add to BLIP caption',
+                label='Prefix to add to GIT caption',
                 placeholder='(Optional)',
                 interactive=True,
             )
 
             postfix = gr.Textbox(
-                label='Postfix to add to BLIP caption',
+                label='Postfix to add to GIT caption',
                 placeholder='(Optional)',
                 interactive=True,
             )

kohya_gui/lora_gui.py

@@ -858,6 +858,7 @@ def train_model(
     text_encoder_lr_float = float(text_encoder_lr)
     unet_lr_float = float(unet_lr)
 
+
     # Determine the training configuration based on learning rate values
     if text_encoder_lr_float == 0 and unet_lr_float == 0:
         if float(learning_rate) == 0:
@@ -1218,7 +1219,7 @@ def list_presets(path):
                     decompose_both = gr.Checkbox(
                         value=False,
                         label="LoKr decompose both",
-                        info=" Controls whether both input and output dimensions of the layer's weights are decomposed into smaller matrices for reparameterization.",
+                        info="Controls whether both input and output dimensions of the layer's weights are decomposed into smaller matrices for reparameterization.",
                         visible=False,
                     )
                     train_on_input = gr.Checkbox(

kohya_gui/manual_caption_gui.py

@@ -303,7 +303,7 @@ def list_images_dirs(path):
             load_images_button = gr.Button('Load', elem_id='open_folder')
             caption_ext = gr.Textbox(
                 label='Caption file extension',
-                placeholder='Extension for caption file. eg: .caption, .txt',
+                placeholder='Extension for caption file (e.g., .caption, .txt)',
                 value='.txt',
                 interactive=True,
             )

kohya_gui/merge_lycoris_gui.py

@@ -210,7 +210,7 @@ def list_save_to(path):
             )
 
         with gr.Row():
-            is_sdxl = gr.Checkbox(label='is sdxl', value=False, interactive=True)
+            is_sdxl = gr.Checkbox(label='is SDXL', value=False, interactive=True)
             is_v2 = gr.Checkbox(label='is v2', value=False, interactive=True)
 
         merge_button = gr.Button('Merge model')

kohya_gui/resize_lora_gui.py

@@ -183,7 +183,7 @@ def list_save_to(path):
             )
         with gr.Row():
 
-            verbose = gr.Checkbox(label='Verbose', value=True)
+            verbose = gr.Checkbox(label='Verbose logging', value=True)
             save_precision = gr.Radio(
                 label='Save precision',
                 choices=['fp16', 'bf16', 'float'],

kohya_gui/wd14_caption_gui.py

@@ -164,9 +164,9 @@ def list_train_dirs(path):
             )
 
             caption_extension = gr.Textbox(
-                label="Caption file extension",
-                placeholder="Extention for caption file. eg: .caption, .txt",
-                value=".txt",
+                label='Caption file extension',
+                placeholder='Extension for caption file (e.g., .caption, .txt)',
+                value='.txt',
                 interactive=True,
             )
 
@@ -266,8 +266,7 @@ def list_train_dirs(path):
             )
             character_threshold = gr.Slider(
                 value=0.35,
-                label="Character threshold",
-                info="useful if you want to train with character",
+                label='Character threshold',
                 minimum=0,
                 maximum=1,
                 step=0.05,