diff --git a/src/diffusers/image_processor.py b/src/diffusers/image_processor.py
index 7be26cbbb5f1..e94c251e21d9 100644
--- a/src/diffusers/image_processor.py
+++ b/src/diffusers/image_processor.py
@@ -18,7 +18,7 @@
 import numpy as np
 import PIL.Image
 import torch
-from PIL import Image, ImageFilter
+from PIL import Image, ImageFilter, ImageOps
 
 from .configuration_utils import ConfigMixin, register_to_config
 from .utils import CONFIG_NAME, PIL_INTERPOLATION, deprecate
@@ -613,6 +613,39 @@ def postprocess(
         if output_type == "pil":
             return self.numpy_to_pil(image)
 
+    def apply_overlay(
+        self,
+        mask: PIL.Image.Image,
+        init_image: PIL.Image.Image,
+        image: PIL.Image.Image,
+        crop_coords: Optional[Tuple[int, int, int, int]] = None,
+    ) -> PIL.Image.Image:
+        """
+        overlay the inpaint output to the original image
+        """
+
+        width, height = image.width, image.height
+
+        init_image = self.resize(init_image, width=width, height=height)
+        mask = self.resize(mask, width=width, height=height)
+
+        init_image_masked = PIL.Image.new("RGBa", (width, height))
+        init_image_masked.paste(init_image.convert("RGBA").convert("RGBa"), mask=ImageOps.invert(mask.convert("L")))
+        init_image_masked = init_image_masked.convert("RGBA")
+
+        if crop_coords is not None:
+            x, y, w, h = crop_coords
+            base_image = PIL.Image.new("RGBA", (width, height))
+            image = self.resize(image, height=h, width=w, resize_mode="crop")
+            base_image.paste(image, (x, y))
+            image = base_image.convert("RGB")
+
+        image = image.convert("RGBA")
+        image.alpha_composite(init_image_masked)
+        image = image.convert("RGB")
+
+        return image
+
 
 class VaeImageProcessorLDM3D(VaeImageProcessor):
     """
diff --git a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py
index 5f62bd135f7b..6940842f5d65 100644
--- a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py
+++ b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py
@@ -13,13 +13,12 @@
 # limitations under the License.
 
 import inspect
-from typing import Any, Callable, Dict, List, Optional, Tuple, Union
+from typing import Any, Callable, Dict, List, Optional, Union
 
 import numpy as np
 import PIL.Image
 import torch
 from packaging import version
-from PIL import ImageOps
 from transformers import CLIPImageProcessor, CLIPTextModel, CLIPTokenizer, CLIPVisionModelWithProjection
 
 from ...configuration_utils import FrozenDict
@@ -880,39 +879,6 @@ def get_guidance_scale_embedding(self, w, embedding_dim=512, dtype=torch.float32
         assert emb.shape == (w.shape[0], embedding_dim)
         return emb
 
-    def apply_overlay(
-        self,
-        mask: PIL.Image.Image,
-        init_image: PIL.Image.Image,
-        image: PIL.Image.Image,
-        crop_coords: Optional[Tuple[int, int, int, int]] = None,
-    ) -> PIL.Image.Image:
-        """
-        overlay the inpaint output to the original image
-        """
-
-        width, height = image.width, image.height
-
-        init_image = self.image_processor.resize(init_image, width=width, height=height)
-        mask = self.mask_processor.resize(mask, width=width, height=height)
-
-        init_image_masked = PIL.Image.new("RGBa", (width, height))
-        init_image_masked.paste(init_image.convert("RGBA").convert("RGBa"), mask=ImageOps.invert(mask.convert("L")))
-        init_image_masked = init_image_masked.convert("RGBA")
-
-        if crop_coords is not None:
-            x, y, w, h = crop_coords
-            base_image = PIL.Image.new("RGBA", (width, height))
-            image = self.image_processor.resize(image, height=h, width=w, resize_mode="crop")
-            base_image.paste(image, (x, y))
-            image = base_image.convert("RGB")
-
-        image = image.convert("RGBA")
-        image.alpha_composite(init_image_masked)
-        image = image.convert("RGB")
-
-        return image
-
     @property
     def guidance_scale(self):
         return self._guidance_scale
@@ -1370,7 +1336,7 @@ def __call__(
         image = self.image_processor.postprocess(image, output_type=output_type, do_denormalize=do_denormalize)
 
         if padding_mask_crop is not None:
-            image = [self.apply_overlay(mask_image, original_image, i, crops_coords) for i in image]
+            image = [self.image_processor.apply_overlay(mask_image, original_image, i, crops_coords) for i in image]
 
         # Offload all models
         self.maybe_free_model_hooks()