major: rename toml folder to config

.gitignore

@@ -15,6 +15,7 @@ train/*
 logs/*
 sd-models/*
 toml/autosave/*
+config/autosave/*
 !sd-models/put stable diffusion model here.txt
 !logs/.keep
 

gui.py

@@ -32,7 +32,7 @@ if __name__ == "__main__":
     setup_logging()
     smart_pip_mirror()
     prepare_frontend()
-    check_dirs(["toml/autosave", "logs"])
+    check_dirs(["config/autosave", "logs"])
     if not args.skip_prepare_environment:
         requirements_file = "requirements_win.txt" if sys.platform == "win32" else "requirements.txt"
         validate_requirements(requirements_file)

mikazuki/app.py

@@ -85,7 +85,7 @@ async def create_toml_file(request: Request, background_tasks: BackgroundTasks):
         return {"status": "fail", "detail": "已有正在进行的训练"}
 
     timestamp = datetime.now().strftime("%Y%m%d-%H%M%S")
-    toml_file = os.path.join(os.getcwd(), f"toml", "autosave", f"{timestamp}.toml")
+    toml_file = os.path.join(os.getcwd(), f"config", "autosave", f"{timestamp}.toml")
     toml_data = await request.body()
     j = json.loads(toml_data.decode("utf-8"))
 
@@ -111,7 +111,7 @@ async def create_toml_file(request: Request, background_tasks: BackgroundTasks):
 
     sample_prompts = j.get("sample_prompts", None)
     if sample_prompts is not None and not os.path.exists(sample_prompts) and is_promopt_like(sample_prompts):
-        sample_prompts_file = os.path.join(os.getcwd(), f"toml", "autosave", f"{timestamp}-promopt.txt")
+        sample_prompts_file = os.path.join(os.getcwd(), f"config", "autosave", f"{timestamp}-promopt.txt")
         with open(sample_prompts_file, "w", encoding="utf-8") as f:
             f.write(sample_prompts)
         j["sample_prompts"] = sample_prompts_file

train_by_toml.ps1

@@ -1,8 +1,8 @@
 # LoRA train script by @Akegarasu
 
 $multi_gpu = 0		 # multi gpu | 多显卡训练 该参数仅限在显卡数 >= 2 使用
-$config_file = "./toml/default.toml"		 # config_file | 使用toml文件指定训练参数
-$sample_prompts = "./toml/sample_prompts.txt"		 # sample_prompts | 采样prompts文件,留空则不启用采样功能
+$config_file = "./config/default.toml"		 # config_file | 使用toml文件指定训练参数
+$sample_prompts = "./config/sample_prompts.txt"		 # sample_prompts | 采样prompts文件,留空则不启用采样功能
 $utf8 = 1		 # utf8 | 使用utf-8编码读取toml；以utf-8编码编写的、含中文的toml必须开启
 
 

train_by_toml.sh

@@ -2,8 +2,8 @@
 # LoRA train script by @Akegarasu
 
 multi_gpu=0                                # multi gpu | 多显卡训练 该参数仅限在显卡数 >= 2 使用
-config_file="./toml/default.toml"          # config_file | 使用toml文件指定训练参数
-sample_prompts="./toml/sample_prompts.txt" # sample_prompts | 采样prompts文件,留空则不启用采样功能
+config_file="./config/default.toml"          # config_file | 使用toml文件指定训练参数
+sample_prompts="./config/sample_prompts.txt" # sample_prompts | 采样prompts文件,留空则不启用采样功能
 utf8=1                                     # utf8 | 使用utf-8编码读取toml；以utf-8编码编写的、含中文的toml必须开启
 
 # ============= DO NOT MODIFY CONTENTS BELOW | 请勿修改下方内容 =====================