Relocate config file accordion

.release

@@ -1 +1 @@
-v23.1.3
+v23.1.4

README.md

@@ -42,6 +42,7 @@ The GUI allows you to set the training parameters and generate and run the requi
   - [SDXL training](#sdxl-training)
   - [Masked loss](#masked-loss)
   - [Change History](#change-history)
+    - [2024/04/08 (v23.1.4)](#20240408-v2314)
     - [2024/04/08 (v23.1.3)](#20240408-v2313)
     - [2024/04/08 (v23.1.2)](#20240408-v2312)
     - [2024/04/07 (v23.1.1)](#20240407-v2311)
@@ -406,6 +407,10 @@ ControlNet dataset is used to specify the mask. The mask images should be the RG
 
 ## Change History
 
+### 2024/04/08 (v23.1.4)
+
+- Relocate config accordion to the top of the GUI.
+
 ### 2024/04/08 (v23.1.3)
 
 - Fix dataset preparation bug.

kohya_gui/dreambooth_gui.py

@@ -747,6 +747,10 @@ def dreambooth_tab(
     with gr.Tab("Training"), gr.Column(variant="compact"):
         gr.Markdown("Train a custom model using kohya dreambooth python code...")
 
+        # Setup Configuration Files Gradio
+        with gr.Accordion("Configuration", open=False):
+            configuration = ConfigurationFile(headless=headless, config=config)
+
         with gr.Accordion("Accelerate launch", open=False), gr.Column():
             accelerate_launch = AccelerateLaunch(config=config)
 
@@ -793,10 +797,6 @@ def dreambooth_tab(
             )
             gradio_dataset_balancing_tab(headless=headless)
 
-        # Setup Configuration Files Gradio
-        with gr.Accordion("Configuration", open=False):
-            configuration = ConfigurationFile(headless=headless, config=config)
-
         with gr.Column(), gr.Group():
             with gr.Row():
                 button_run = gr.Button("Start training", variant="primary")

kohya_gui/finetune_gui.py

@@ -770,6 +770,10 @@ def finetune_tab(headless=False, config: dict = {}):
     with gr.Tab("Training"), gr.Column(variant="compact"):
         gr.Markdown("Train a custom model using kohya finetune python code...")
 
+        # Setup Configuration Files Gradio
+        with gr.Accordion("Configuration", open=False):
+            configuration = ConfigurationFile(headless=headless, config=config)
+
         with gr.Accordion("Accelerate launch", open=False), gr.Column():
             accelerate_launch = AccelerateLaunch(config=config)
 
@@ -893,10 +897,6 @@ def list_presets(path):
                         label="Weighted captions", value=False
                     )
 
-        # Setup Configuration Files Gradio
-        with gr.Accordion("Configuration", open=False):
-            configuration = ConfigurationFile(headless=headless, config=config)
-
         with gr.Column(), gr.Group():
             with gr.Row():
                 button_run = gr.Button("Start training", variant="primary")

kohya_gui/lora_gui.py

@@ -1100,6 +1100,10 @@ def lora_tab(
             "Train a custom model using kohya train network LoRA python code..."
         )
 
+        # Setup Configuration Files Gradio
+        with gr.Accordion("Configuration", open=False):
+            configuration = ConfigurationFile(headless=headless, config=config)
+
         with gr.Accordion("Accelerate launch", open=False), gr.Column():
             accelerate_launch = AccelerateLaunch(config=config)
 
@@ -1919,10 +1923,6 @@ def update_LoRA_settings(
             )
             gradio_dataset_balancing_tab(headless=headless)
 
-        # Setup Configuration Files Gradio
-        with gr.Accordion("Configuration", open=False):
-            configuration = ConfigurationFile(headless=headless, config=config)
-
         with gr.Column(), gr.Group():
             with gr.Row():
                 button_run = gr.Button("Start training", variant="primary")

kohya_gui/textual_inversion_gui.py

@@ -723,6 +723,10 @@ def ti_tab(headless=False, default_output_dir=None, config: dict = {}):
     with gr.Tab("Training"), gr.Column(variant="compact"):
         gr.Markdown("Train a TI using kohya textual inversion python code...")
 
+        # Setup Configuration Files Gradio
+        with gr.Accordion("Configuration", open=False):
+            configuration = ConfigurationFile(headless=headless)
+
         with gr.Accordion("Accelerate launch", open=False), gr.Column():
             accelerate_launch = AccelerateLaunch(config=config)