Adding modified train_util and config_util

library/config_util.py

@@ -84,7 +84,6 @@ class BaseDatasetParams:
     tokenizer: Union[CLIPTokenizer, List[CLIPTokenizer]] = None
     max_token_length: int = None
     resolution: Optional[Tuple[int, int]] = None
-    network_multiplier: float = 1.0
     debug_dataset: bool = False
     validation_seed: Optional[int] = None
     validation_split: float = 0.0

library/train_util.py

@@ -1420,7 +1420,7 @@ class DreamBoothDataset(BaseDataset):
             img_paths = glob_images(subset.image_dir, "*")
             if self.validation_split > 0.0:
                 img_paths = split_train_val(img_paths, self.is_train, self.validation_split, self.validation_seed)            
-            logger.info(f"found directory {subset.image_dir} contains {len(img_paths)} image files")
+            print(f"found directory {subset.image_dir} contains {len(img_paths)} image files")
 
             # 画像ファイルごとにプロンプトを読み込み、もしあればそちらを使う
             captions = []