v24.0.9

.release

@@ -1 +1 @@
-v24.0.8
+v24.0.9

README.md

@@ -47,6 +47,7 @@ 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)
+    - [2024/04/28 (v24.0.9)](#20240428-v2409)
     - [2024/04/26 (v24.0.8)](#20240426-v2408)
     - [2024/04/25 (v24.0.7)](#20240425-v2407)
     - [2024/04/22 (v24.0.6)](#20240422-v2406)
@@ -454,6 +455,11 @@ ControlNet dataset is used to specify the mask. The mask images should be the RG
 
 ## Change History
 
+### 2024/04/28 (v24.0.9)
+
+- Updated the temporary configuration file to include date and time information in the file name. This will allow for easier batching of multiple training commands, particularly useful for users who want to automate their training sessions.
+- Fixed an issue with wd14 captioning where the captioning process was not functioning correctly when the recursive option was set to true. Prefixes and postfixes are now applied to all caption files in the folder.
+
 ### 2024/04/26 (v24.0.8)
 
 - Set `max_train_steps` to 0 if not specified in older `.json` config files.

kohya_gui/class_basic_training.py

@@ -323,7 +323,7 @@ def init_scheduler_controls(self) -> None:
             # Initialize the learning rate scheduler power textbox
             self.lr_scheduler_power = gr.Number(
                 label="LR power",
-                minimum=1.0,
+                minimum=0.0,
                 step=0.01,
                 info="Polynomial power for polynomial scheduler",
                 value=self.config.get("basic.lr_scheduler_power", 1.0),

kohya_gui/common_gui.py

@@ -739,6 +739,8 @@ def add_pre_postfix(
     prefix: str = "",
     postfix: str = "",
     caption_file_ext: str = ".caption",
+    recursive: bool = False,
+
 ) -> None:
     """
     Add prefix and/or postfix to the content of caption files within a folder.
@@ -762,10 +764,18 @@ def add_pre_postfix(
     # Define the image file extensions to filter
     image_extensions = (".jpg", ".jpeg", ".png", ".webp")
 
-    # List all image files in the folder
-    image_files = [
-        f for f in os.listdir(folder) if f.lower().endswith(image_extensions)
-    ]
+    # If recursive is true, list all image files in the folder and its subfolders
+    if recursive:
+        image_files = []
+        for root, dirs, files in os.walk(folder):
+            for file in files:
+                if file.lower().endswith(image_extensions):
+                    image_files.append(os.path.join(root, file))
+    else:
+        # List all image files in the folder
+        image_files = [
+            f for f in os.listdir(folder) if f.lower().endswith(image_extensions)
+        ]
 
     # Iterate over the list of image files
     for image_file in image_files:

kohya_gui/dreambooth_gui.py

@@ -823,7 +823,10 @@ def train_model(
     # Sort the dictionary by keys
     config_toml_data = dict(sorted(config_toml_data.items()))
 
-    tmpfilename = "./outputs/tmpfiledbooth.toml"
+    current_datetime = datetime.now()
+    formatted_datetime = current_datetime.strftime("%Y%m%d-%H%M%S")
+    tmpfilename = f"./outputs/config_dreambooth-{formatted_datetime}.toml"
+
     # Save the updated TOML data back to the file
     with open(tmpfilename, "w", encoding="utf-8") as toml_file:
         toml.dump(config_toml_data, toml_file)

kohya_gui/finetune_gui.py

@@ -894,7 +894,9 @@ def train_model(
     # Sort the dictionary by keys
     config_toml_data = dict(sorted(config_toml_data.items()))
 
-    tmpfilename = "./outputs/tmpfilefinetune.toml"
+    current_datetime = datetime.now()
+    formatted_datetime = current_datetime.strftime("%Y%m%d-%H%M%S")
+    tmpfilename = f"./outputs/config_finetune-{formatted_datetime}.toml"
     # Save the updated TOML data back to the file
     with open(tmpfilename, "w", encoding="utf-8") as toml_file:
         toml.dump(config_toml_data, toml_file)

kohya_gui/lora_gui.py

@@ -1187,7 +1187,10 @@ def train_model(
     # Sort the dictionary by keys
     config_toml_data = dict(sorted(config_toml_data.items()))
 
-    tmpfilename = "./outputs/tmpfilelora.toml"
+    current_datetime = datetime.now()
+    formatted_datetime = current_datetime.strftime("%Y%m%d-%H%M%S")
+    tmpfilename = f"./outputs/config_lora-{formatted_datetime}.toml"
+
     # Save the updated TOML data back to the file
     with open(tmpfilename, "w", encoding="utf-8") as toml_file:
         toml.dump(config_toml_data, toml_file)

kohya_gui/textual_inversion_gui.py

@@ -842,7 +842,10 @@ def train_model(
     # Sort the dictionary by keys
     config_toml_data = dict(sorted(config_toml_data.items()))
 
-    tmpfilename = "./outputs/tmpfileti.toml"
+    current_datetime = datetime.now()
+    formatted_datetime = current_datetime.strftime("%Y%m%d-%H%M%S")
+    tmpfilename = f"./outputs/config_textual_inversion-{formatted_datetime}.toml"
+
     # Save the updated TOML data back to the file
     with open(tmpfilename, "w", encoding="utf-8") as toml_file:
         toml.dump(config_toml_data, toml_file)

kohya_gui/wd14_caption_gui.py

@@ -63,7 +63,7 @@ def caption_images(
     ]
 
     # Uncomment and modify if needed
-    # if always_first_tags:
+    # if always_first_tags != "":
     #     run_cmd.append('--always_first_tags')
     #     run_cmd.append(always_first_tags)
 
@@ -138,6 +138,7 @@ def caption_images(
         folder=train_data_dir,
         caption_file_ext=caption_extension,
         prefix=always_first_tags,
+        recursive=recursive,
     )
 
     log.info("...captioning done")
@@ -267,7 +268,7 @@ def list_train_dirs(path):
         with gr.Row():
             always_first_tags = gr.Textbox(
                 label="Prefix to add to WD14 caption",
-                info="comma-separated list of tags to always put at the beginning, e.g. 1girl, 1boy, ",
+                info="comma-separated list of tags to always put at the beginning, e.g.: 1girl, 1boy, ",
                 placeholder="(Optional)",
                 interactive=True,
                 value=config.get("wd14_caption.always_first_tags", ""),