v24.0.3

.release

@@ -1 +1 @@
-v24.0.2
+v24.0.3

README.md

@@ -42,6 +42,8 @@ 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)
+    - [2024/04/24 (v24.0.3)](#20240424-v2403)
+    - [2024/04/24 (v24.0.2)](#20240424-v2402)
     - [2024/04/17 (v24.0.1)](#20240417-v2401)
       - [Enhancements](#enhancements)
       - [Security and Stability](#security-and-stability)
@@ -406,6 +408,11 @@ ControlNet dataset is used to specify the mask. The mask images should be the RG
 
 ## Change History
 
+
+### 2024/04/24 (v24.0.3)
+
+- Fix issue with sample prompt creation
+
 ### 2024/04/24 (v24.0.2)
 
 - Fixed issue with clip_skip not being passed as an int to sd-scripts when using old config.json files.

kohya_gui/basic_caption_gui.py

@@ -63,35 +63,31 @@ def caption_images(
         log.info(f"Captioning files in {images_dir} with {caption_text}...")
 
         # Build the command to run caption.py
-        run_cmd = [PYTHON, fr'"{scriptdir}/tools/caption.py"']
-
-        # Add required arguments
-        run_cmd.append('--caption_text')
-        run_cmd.append(caption_text)
+        run_cmd = rf'"{PYTHON}" "{scriptdir}/tools/caption.py"'
+        run_cmd += f' --caption_text="{caption_text}"'
 
         # Add optional flags to the command
         if overwrite:
-            run_cmd.append("--overwrite")
+            run_cmd += f" --overwrite"
         if caption_ext:
-            run_cmd.append('--caption_file_ext')
-            run_cmd.append(caption_ext)
+            run_cmd += f' --caption_file_ext="{caption_ext}"'
+
+        run_cmd += f' "{images_dir}"'
 
-        # Add the directory containing the images
-        run_cmd.append(fr'"{images_dir}"')
+        # Log the command
+        log.info(run_cmd)
 
         # Set the environment variable for the Python path
         env = os.environ.copy()
         env["PYTHONPATH"] = (
-            rf"{scriptdir}{os.pathsep}{scriptdir}/sd-scripts{os.pathsep}{env.get('PYTHONPATH', '')}"
+            f"{scriptdir}{os.pathsep}{scriptdir}/sd-scripts{os.pathsep}{env.get('PYTHONPATH', '')}"
         )
         env["TF_ENABLE_ONEDNN_OPTS"] = "0"
 
-        # Reconstruct the safe command string for display
-        command_to_run = " ".join(run_cmd)
-        log.info(f"Executing command: {command_to_run} with shell={use_shell}")
+        log.info(f"Executing command: {run_cmd} with shell={use_shell}")
 
         # Run the command in the sd-scripts folder context
-        subprocess.run(command_to_run, env=env, shell=use_shell)
+        subprocess.run(run_cmd, env=env, shell=use_shell)
 
 
     # Check if overwrite option is enabled

kohya_gui/blip_caption_gui.py

@@ -58,7 +58,7 @@ def caption_images(
     log.info(f"Captioning files in {train_data_dir}...")
 
     # Construct the command to run make_captions.py
-    run_cmd = [PYTHON, fr'"{scriptdir}/sd-scripts/finetune/make_captions.py"']
+    run_cmd = [fr'"{PYTHON}"', fr'"{scriptdir}/sd-scripts/finetune/make_captions.py"']
 
     # Add required arguments
     run_cmd.append('--batch_size')

kohya_gui/common_gui.py

@@ -323,6 +323,7 @@ def update_my_data(my_data):
 
     # Convert values to int if they are strings
     for key in [
+        "adaptive_noise_scale",
         "clip_skip",
         "epoch",
         "gradient_accumulation_steps",
@@ -351,7 +352,7 @@ def update_my_data(my_data):
             except ValueError:
                 # Handle the case where the string is not a valid float
                 my_data[key] = int(1)
-                
+
     # Convert values to int if they are strings
     for key in ["max_token_length"]:
         value = my_data.get(key)
@@ -1449,3 +1450,21 @@ def is_file_writable(file_path: str) -> bool:
     except IOError:
         # If an IOError occurs, the file cannot be written to
         return False
+
+def print_command_and_toml(run_cmd, tmpfilename):
+    log.warning(
+        "Here is the trainer command as a reference. It will not be executed:\n"
+    )
+    # Reconstruct the safe command string for display
+    command_to_run = " ".join(run_cmd)
+
+    log.info(command_to_run)
+    print("")
+
+    log.info(f"Showing toml config file: {tmpfilename}")
+    print("")
+    with open(tmpfilename, "r") as toml_file:
+        log.info(toml_file.read())
+    log.info(f"end of toml config file: {tmpfilename}")
+
+    save_to_file(command_to_run)

kohya_gui/convert_lcm_gui.py

@@ -47,40 +47,29 @@ def convert_lcm(
         path, ext = os.path.splitext(save_to)
         save_to = f"{path}_lcm{ext}"
 
-    # Initialize the command to run the script
-    run_cmd = [
-        PYTHON,
-        f"{scriptdir}/path_to_script.py",
-    ]  # Adjust the script path accordingly
-
-    # Add required arguments
-    run_cmd.append("--lora-scale")
-    run_cmd.append(str(lora_scale))
-    run_cmd.append("--model")
-    run_cmd.append(rf'"{model_path}"')
-    run_cmd.append("--name")
-    run_cmd.append(name)
-
-    # Add conditional flags based on the model type
+    # Construct the command to run the script
+    run_cmd += f" --lora-scale {lora_scale}"
+    run_cmd += f' --model "{model_path}"'
+    run_cmd += f' --name "{name}"'
+
     if model_type == "SDXL":
-        run_cmd.append("--sdxl")
+        run_cmd += f" --sdxl"
     if model_type == "SSD-1B":
-        run_cmd.append("--ssd-1b")
+        run_cmd += f" --ssd-1b"
 
     # Set up the environment
     env = os.environ.copy()
     env["PYTHONPATH"] = (
-        rf"{scriptdir}{os.pathsep}{scriptdir}/sd-scripts{os.pathsep}{env.get('PYTHONPATH', '')}"
+        f"{scriptdir}{os.pathsep}{scriptdir}/sd-scripts{os.pathsep}{env.get('PYTHONPATH', '')}"
     )
     env["TF_ENABLE_ONEDNN_OPTS"] = "0"
 
     # Reconstruct the safe command string for display
-    command_to_run = " ".join(run_cmd)
-    log.info(f"Executing command: {command_to_run} with shell={use_shell}")
+    log.info(f"Executing command: {run_cmd} with shell={use_shell}")
 
     # Run the command in the sd-scripts folder context
     subprocess.run(
-        command_to_run, env=env, shell=use_shell
+        run_cmd, env=env, shell=use_shell
     )
 
     # Return a success message

kohya_gui/convert_model_gui.py

@@ -50,7 +50,7 @@ def convert_model(
         return
 
     run_cmd = [
-        PYTHON,
+        fr'"{PYTHON}"',
         fr'"{scriptdir}/sd-scripts/tools/convert_diffusers20_original_sd.py"',
     ]
 
@@ -100,7 +100,7 @@ def convert_model(
 
     env = os.environ.copy()
     env["PYTHONPATH"] = (
-        rf"{scriptdir}{os.pathsep}{scriptdir}/sd-scripts{os.pathsep}{env.get('PYTHONPATH', '')}"
+        f"{scriptdir}{os.pathsep}{scriptdir}/sd-scripts{os.pathsep}{env.get('PYTHONPATH', '')}"
     )
     # Adding an example of an environment variable that might be relevant
     env["TF_ENABLE_ONEDNN_OPTS"] = "0"

kohya_gui/dreambooth_gui.py

@@ -7,16 +7,16 @@
 import toml
 from datetime import datetime
 from .common_gui import (
+    check_if_model_exist,
+    color_aug_changed,
     get_executable_path,
     get_file_path,
     get_saveasfile_path,
-    color_aug_changed,
+    print_command_and_toml,
     run_cmd_advanced_training,
-    update_my_data,
-    check_if_model_exist,
     SaveConfigFile,
-    save_to_file,
     scriptdir,
+    update_my_data,
     validate_paths,
 )
 from .class_accelerate_launch import AccelerateLaunch
@@ -49,8 +49,6 @@
 huggingface = None
 use_shell = False
 
-PYTHON = sys.executable
-
 TRAIN_BUTTON_VISIBLE = [gr.Button(visible=True), gr.Button(visible=False), gr.Textbox(value=time.time())]
 
 
@@ -669,7 +667,7 @@ def train_model(
         "save_state_to_huggingface": save_state_to_huggingface,
         "resume_from_huggingface": resume_from_huggingface,
         "async_upload": async_upload,
-        "adaptive_noise_scale": adaptive_noise_scale if adaptive_noise_scale != 0 else None,
+        "adaptive_noise_scale": adaptive_noise_scale if not 0 else None,
         "bucket_no_upscale": bucket_no_upscale,
         "bucket_reso_steps": bucket_reso_steps,
         "cache_latents": cache_latents,
@@ -749,7 +747,7 @@ def train_model(
         "resume": resume,
         "sample_every_n_epochs": sample_every_n_epochs if sample_every_n_epochs != 0 else None,
         "sample_every_n_steps": sample_every_n_steps if sample_every_n_steps != 0 else None,
-        "sample_prompts": create_prompt_file(output_dir, output_dir),
+        "sample_prompts": create_prompt_file(sample_prompts, output_dir),
         "sample_sampler": sample_sampler,
         "save_every_n_epochs": save_every_n_epochs if save_every_n_epochs!= 0 else None,
         "save_every_n_steps": save_every_n_steps if save_every_n_steps != 0 else None,
@@ -806,15 +804,7 @@ def train_model(
     run_cmd = run_cmd_advanced_training(run_cmd=run_cmd, **kwargs_for_training)
 
     if print_only:
-        log.warning(
-            "Here is the trainer command as a reference. It will not be executed:\n"
-        )
-        # Reconstruct the safe command string for display
-        command_to_run = " ".join(run_cmd)
-
-        print(command_to_run)
-
-        save_to_file(command_to_run)
+        print_command_and_toml(run_cmd, tmpfilename)
     else:
         # Saving config file for model
         current_datetime = datetime.now()
@@ -834,7 +824,7 @@ def train_model(
 
         env = os.environ.copy()
         env["PYTHONPATH"] = (
-            rf"{scriptdir}{os.pathsep}{scriptdir}/sd-scripts{os.pathsep}{env.get('PYTHONPATH', '')}"
+            f"{scriptdir}{os.pathsep}{scriptdir}/sd-scripts{os.pathsep}{env.get('PYTHONPATH', '')}"
         )
         env["TF_ENABLE_ONEDNN_OPTS"] = "0"
 

kohya_gui/extract_lora_from_dylora_gui.py

@@ -51,7 +51,7 @@ def extract_dylora(
         save_to = f"{path}_tmp{ext}"
 
     run_cmd = [
-        PYTHON,
+        fr'"{PYTHON}"',
         rf'"{scriptdir}/sd-scripts/networks/extract_lora_from_dylora.py"',
         "--save_to",
         rf'"{save_to}"',
@@ -63,7 +63,7 @@ def extract_dylora(
 
     env = os.environ.copy()
     env["PYTHONPATH"] = (
-        rf"{scriptdir}{os.pathsep}{scriptdir}/sd-scripts{os.pathsep}{env.get('PYTHONPATH', '')}"
+        f"{scriptdir}{os.pathsep}{scriptdir}/sd-scripts{os.pathsep}{env.get('PYTHONPATH', '')}"
     )
     # Example environment variable adjustment for the Python environment
     env["TF_ENABLE_ONEDNN_OPTS"] = "0"

kohya_gui/extract_lora_gui.py

@@ -74,7 +74,7 @@ def extract_lora(
         return
 
     run_cmd = [
-        PYTHON,
+        fr'"{PYTHON}"',
         fr'"{scriptdir}/sd-scripts/networks/extract_lora_from_models.py"',
         "--load_precision",
         load_precision,
@@ -112,7 +112,7 @@ def extract_lora(
 
     env = os.environ.copy()
     env["PYTHONPATH"] = (
-        rf"{scriptdir}{os.pathsep}{scriptdir}/sd-scripts{os.pathsep}{env.get('PYTHONPATH', '')}"
+        f"{scriptdir}{os.pathsep}{scriptdir}/sd-scripts{os.pathsep}{env.get('PYTHONPATH', '')}"
     )
     # Adding an example of another potentially relevant environment variable
     env["TF_ENABLE_ONEDNN_OPTS"] = "0"

kohya_gui/extract_lycoris_locon_gui.py

@@ -74,7 +74,7 @@ def extract_lycoris_locon(
         path, ext = os.path.splitext(output_name)
         output_name = f"{path}_tmp{ext}"
 
-    run_cmd = [PYTHON, fr'"{scriptdir}/tools/lycoris_locon_extract.py"']
+    run_cmd = [fr'"{PYTHON}"', fr'"{scriptdir}/tools/lycoris_locon_extract.py"']
 
     if is_sdxl:
         run_cmd.append("--is_sdxl")
@@ -127,7 +127,7 @@ def extract_lycoris_locon(
 
     env = os.environ.copy()
     env["PYTHONPATH"] = (
-        rf"{scriptdir}{os.pathsep}{scriptdir}/sd-scripts{os.pathsep}{env.get('PYTHONPATH', '')}"
+        f"{scriptdir}{os.pathsep}{scriptdir}/sd-scripts{os.pathsep}{env.get('PYTHONPATH', '')}"
     )
     # Adding an example of an environment variable that might be relevant
     env["TF_ENABLE_ONEDNN_OPTS"] = "0"