v21.0.1

README.md

@@ -163,6 +163,9 @@ This will store your a backup file with your current locally installed pip packa
 
 ## Change History
 
+* 2023/03/01 (v21.0.1):
+    - Add warning to tensorboard start if the log information is missing
+    - Fix issue with 8bitadam on older config file load
 * 2023/02/27 (v21.0.0):
     - Add tensorboard start and stop support to the GUI
 * 2023/02/26 (v20.8.2):

dreambooth_gui.py

@@ -25,6 +25,7 @@
     gradio_config,
     gradio_source_model,
     set_legacy_8bitadam,
+    update_optimizer,
 )
 from library.tensorboard_gui import (
     gradio_tensorboard,
@@ -208,6 +209,8 @@ def open_configuration(
         with open(file_path, 'r') as f:
             my_data_db = 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_optimizer(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 = {}

finetune_gui.py

@@ -19,6 +19,7 @@
     color_aug_changed,
     run_cmd_training,
     set_legacy_8bitadam,
+    update_optimizer,
 )
 from library.tensorboard_gui import (
     gradio_tensorboard,
@@ -203,21 +204,22 @@ def open_config_file(
     original_file_path = file_path
     file_path = get_file_path(file_path)
 
-    if file_path != '' and file_path != None:
-        print(f'Loading config file {file_path}')
+    if not file_path == '' and not file_path == None:
         # load variables from JSON file
         with open(file_path, 'r') as f:
-            my_data_ft = json.load(f)
+            my_data_db = 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_optimizer(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_ft = {}
+        file_path = original_file_path  # In case a file_path was provided and the user decide to cancel the open action
+        my_data_db = {}
 
     values = [file_path]
     for key, value in parameters:
-        # Set the value in the dictionary to the corresponding value in `my_data_ft`, or the default value if not found
+        # 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_ft.get(key, value))
-    # print(values)
+            values.append(my_data_db.get(key, value))
     return tuple(values)
 
 

library/common_gui.py

@@ -9,6 +9,12 @@
 save_style_symbol = '\U0001f4be'  # 💾
 document_symbol = '\U0001F4C4'   # 📄
 
+def update_optimizer(my_data):
+    if my_data.get('use_8bit_adam', False):
+        my_data['optimizer'] = 'AdamW8bit'
+        my_data['use_8bit_adam'] = False
+    return my_data
+
 
 def get_dir_and_file(file_path):
     dir_path, file_name = os.path.split(file_path)
@@ -604,7 +610,8 @@ def gradio_advanced_training():
             label='Memory efficient attention', value=False
         )
     with gr.Row():
-        use_8bit_adam = gr.Checkbox(label='Use 8bit adam', value=True)
+        # This use_8bit_adam element should be removed in a future release as it is no longer used
+        use_8bit_adam = gr.Checkbox(label='Use 8bit adam', value=False, visible=False)
         xformers = gr.Checkbox(label='Use xformers', value=True)
         color_aug = gr.Checkbox(label='Color augmentation', value=False)
         flip_aug = gr.Checkbox(label='Flip augmentation', value=False)

lora_gui.py

@@ -25,6 +25,7 @@
     gradio_source_model,
     run_cmd_training,
     set_legacy_8bitadam,
+    update_optimizer,
 )
 from library.dreambooth_folder_creation_gui import (
     gradio_dreambooth_folder_creation_tab,
@@ -225,6 +226,8 @@ def open_configuration(
         with open(file_path, 'r') as 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_optimizer(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 = {}

textual_inversion_gui.py

@@ -25,6 +25,7 @@
     gradio_config,
     gradio_source_model,
     set_legacy_8bitadam,
+    update_optimizer,
 )
 from library.tensorboard_gui import (
     gradio_tensorboard,
@@ -218,6 +219,8 @@ def open_configuration(
         with open(file_path, 'r') as f:
             my_data_db = 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_optimizer(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 = {}