update readme and help message etc.

library/sdxl_train_util.py

@@ -5,6 +5,7 @@ from typing import Optional
 
 import torch
 from library.device_utils import init_ipex, clean_memory_on_device
+
 init_ipex()
 
 from accelerate import init_empty_weights
@@ -13,8 +14,10 @@ from transformers import CLIPTokenizer
 from library import model_util, sdxl_model_util, train_util, sdxl_original_unet
 from library.sdxl_lpw_stable_diffusion import SdxlStableDiffusionLongPromptWeightingPipeline
 from .utils import setup_logging
+
 setup_logging()
 import logging
+
 logger = logging.getLogger(__name__)
 
 TOKENIZER1_PATH = "openai/clip-vit-large-patch14"
@@ -44,7 +47,7 @@ def load_target_model(args, accelerator, model_version: str, weight_dtype):
                 weight_dtype,
                 accelerator.device if args.lowram else "cpu",
                 model_dtype,
-                args.disable_mmap_load_safetensors
+                args.disable_mmap_load_safetensors,
             )
 
             # work on low-ram device
@@ -336,6 +339,7 @@ def add_sdxl_training_arguments(parser: argparse.ArgumentParser):
     parser.add_argument(
         "--disable_mmap_load_safetensors",
         action="store_true",
+        help="disable mmap load for safetensors. Speed up model loading in WSL environment / safetensorsのmmapロードを無効にする。WSL環境等でモデル読み込みを高速化できる",
     )