update

library/train_util.py

@@ -1420,12 +1420,16 @@ def get_image_size(self, image_path):
         image_size = imagesize.get(image_path)
         if image_size[0] <= 0:
             # imagesize doesn't work for some images, so use cv2
-            img = cv2.imread(image_path)
-            if img is not None:
-                image_size = (img.shape[1], img.shape[0])
-            else:
-                logger.warning(f"failed to get image size: {image_path}")
-                image_size = (0, 0)
+            # img = cv2.imread(image_path)
+            # if img is not None:
+            #     image_size = (img.shape[1], img.shape[0])
+
+            with Image.open(image_path) as img:
+                if img is not None:
+                    image_size = img.size
+                else:
+                    logger.warning(f"failed to get image size: {image_path}")
+                    image_size = (0, 0)
         return image_size
 
     def load_image_with_face_info(self, subset: BaseSubset, image_path: str, alpha_mask=False):

requirements-uv.txt

@@ -95,7 +95,7 @@ h5py==3.11.0
     # via
     #   keras
     #   tensorflow-intel
-heavyball==0.9.0
+heavyball==0.10.2
     # via -r ./requirements.txt
 huggingface-hub==0.24.5
     # via

requirements.txt

@@ -11,7 +11,7 @@ prodigyopt
 lion-pytorch
 scipy
 dadaptation
-heavyball>=0.9.0
+heavyball>=0.10.2
 wandb==0.18.0
 pillow-avif-plugin
 schedulefree==1.3.0