diff --git a/toolkit/data_loader.py b/toolkit/data_loader.py
index df89544e..4755dd88 100644
--- a/toolkit/data_loader.py
+++ b/toolkit/data_loader.py
@@ -120,7 +120,13 @@ class ImageDataset(Dataset, CaptionMixin):
 
     def __getitem__(self, index):
         img_path = self.file_list[index]
-        img = exif_transpose(Image.open(img_path)).convert('RGB')
+        try:
+            img = exif_transpose(Image.open(img_path)).convert('RGB')
+        except Exception as e:
+            print(f"Error opening image: {img_path}")
+            print(e)
+            # make a noise image if we can't open it
+            img = Image.fromarray(np.random.randint(0, 255, (1024, 1024, 3), dtype=np.uint8))
 
         # Downscale the source image first
         img = img.resize((int(img.size[0] * self.scale), int(img.size[1] * self.scale)), Image.BICUBIC)
diff --git a/toolkit/ip_adapter.py b/toolkit/ip_adapter.py
index 0ab619dd..e30754de 100644
--- a/toolkit/ip_adapter.py
+++ b/toolkit/ip_adapter.py
@@ -271,6 +271,11 @@ class IPAdapter(torch.nn.Module):
         else:
             raise ValueError(f"unknown image encoder arch: {adapter_config.image_encoder_arch}")
 
+        if not self.config.train_image_encoder:
+            # compile it
+            print('Compiling image encoder')
+            torch.compile(self.image_encoder, fullgraph=True)
+
         self.input_size = self.image_encoder.config.image_size
 
         if self.config.quad_image:  # 4x4 image