diff --git a/library/train_util.py b/library/train_util.py
index 013cc81c..b249e61d 100644
--- a/library/train_util.py
+++ b/library/train_util.py
@@ -1200,19 +1200,27 @@ class FineTuningDataset(BaseDataset):
             tags_list = []
             for image_key, img_md in metadata.items():
                 # path情報を作る
+                abs_path = None
+
+                # まず画像を優先して探す
                 if os.path.exists(image_key):
                     abs_path = image_key
-                elif os.path.exists(os.path.splitext(image_key)[0] + ".npz"):
-                    abs_path = os.path.splitext(image_key)[0] + ".npz"
                 else:
-                    npz_path = os.path.join(subset.image_dir, image_key + ".npz")
-                    if os.path.exists(npz_path):
-                        abs_path = npz_path
+                    # わりといい加減だがいい方法が思いつかん
+                    paths = glob_images(subset.image_dir, image_key)
+                    if len(paths) > 0:
+                        abs_path = paths[0]
+
+                # なければnpzを探す
+                if abs_path is None:
+                    if os.path.exists(os.path.splitext(image_key)[0] + ".npz"):
+                        abs_path = os.path.splitext(image_key)[0] + ".npz"
                     else:
-                        # わりといい加減だがいい方法が思いつかん
-                        abs_path = glob_images(subset.image_dir, image_key)
-                        assert len(abs_path) >= 1, f"no image / 画像がありません: {image_key}"
-                        abs_path = abs_path[0]
+                        npz_path = os.path.join(subset.image_dir, image_key + ".npz")
+                        if os.path.exists(npz_path):
+                            abs_path = npz_path
+
+                assert abs_path is not None, f"no image / 画像がありません: {image_key}"
 
                 caption = img_md.get("caption")
                 tags = img_md.get("tags")