diff --git a/src/diffusers/image_processor.py b/src/diffusers/image_processor.py
index 6a3cf77a7df7..a6a41d2524d3 100644
--- a/src/diffusers/image_processor.py
+++ b/src/diffusers/image_processor.py
@@ -467,17 +467,17 @@ def _resize_and_crop(
 
     def resize(
         self,
-        image: Union[PIL.Image.Image, np.ndarray, torch.Tensor],
+        image: PipelineImageInput,
         height: int,
         width: int,
         resize_mode: str = "default",  # "default", "fill", "crop"
-    ) -> Union[PIL.Image.Image, np.ndarray, torch.Tensor]:
+    ) -> PipelineImageInput:
         """
         Resize image.
 
         Args:
-            image (`PIL.Image.Image`, `np.ndarray` or `torch.Tensor`):
-                The image input, can be a PIL image, numpy array or pytorch tensor.
+            image (`torch.Tensor`, `PIL.Image.Image`, `np.ndarray`, `List[torch.Tensor]`, `List[PIL.Image.Image]`, or `List[np.ndarray]`):
+                The image batch input, can be a PIL image, numpy array or pytorch tensor, or a list of these elements.
             height (`int`):
                 The height to resize to.
             width (`int`):
@@ -492,7 +492,7 @@ def resize(
                 supported for PIL image input.
 
         Returns:
-            `PIL.Image.Image`, `np.ndarray` or `torch.Tensor`:
+            `torch.Tensor`, `PIL.Image.Image`, `np.ndarray`, `List[torch.Tensor]`, `List[PIL.Image.Image]`, or `List[np.ndarray]`:
                 The resized image.
         """
         if resize_mode != "default" and not isinstance(image, PIL.Image.Image):
@@ -523,6 +523,16 @@ def resize(
                 size=(height, width),
             )
             image = self.pt_to_numpy(image)
+        elif isinstance(image, list):
+            image = [
+                self.resize(
+                    img,
+                    height=height,
+                    width=width,
+                    resize_mode=resize_mode,
+                )
+                for img in image
+            ]
         return image
 
     def binarize(self, image: PIL.Image.Image) -> PIL.Image.Image:
diff --git a/tests/others/test_image_processor.py b/tests/others/test_image_processor.py
index e9e5c0670676..f4f52b4fa4aa 100644
--- a/tests/others/test_image_processor.py
+++ b/tests/others/test_image_processor.py
@@ -308,3 +308,16 @@ def test_vae_image_processor_resize_np(self):
         assert out_np.shape == exp_np_shape, (
             f"resized image output shape '{out_np.shape}' didn't match expected shape '{exp_np_shape}'."
         )
+
+    def test_vae_image_processor_resize_list_pt(self):
+        image_processor = VaeImageProcessor(do_resize=True, vae_scale_factor=1)
+        input_pt = self.dummy_sample
+        b, c, h, w = input_pt.shape
+        scale = 2
+        input_pt_list = [input_pt]
+        out_pt_list = image_processor.resize(image=input_pt_list, height=h // scale, width=w // scale)
+        exp_pt_shape = (b, c, h // scale, w // scale)
+        for out_pt in out_pt_list:
+            assert out_pt.shape == exp_pt_shape, (
+                f"resized image output shape '{out_pt.shape}' didn't match expected shape '{exp_pt_shape}'."
+            )