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 b9ad36f1a2bf..41f426532754 100644
--- a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py
+++ b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py
@@ -212,6 +212,12 @@ def __call__(
         # set timesteps
         self.scheduler.set_timesteps(num_inference_steps)
 
+        # preprocess mask
+        if not isinstance(mask_image, torch.FloatTensor):
+            mask_image = preprocess_mask(mask_image)
+        mask_image = mask_image.to(self.device)
+        mask = torch.cat([mask_image] * batch_size)
+
         # preprocess image
         if not isinstance(init_image, torch.FloatTensor):
             init_image = preprocess_image(init_image)
@@ -221,18 +227,22 @@ def __call__(
         init_latent_dist = self.vae.encode(init_image).latent_dist
         init_latents = init_latent_dist.sample(generator=generator)
 
+        # adding noise to the masked areas depending on strength
+        rand_latents = torch.randn(
+            init_latents.shape,
+            generator=generator,
+            device=self.device,
+        )
+        init_latents_noised = init_latents * mask + rand_latents * (1 - mask)
+        init_latents = init_latents * (1 - strength) + init_latents_noised * strength
+
+        # multiply by scale_factor
         init_latents = 0.18215 * init_latents
 
         # Expand init_latents for batch_size
         init_latents = torch.cat([init_latents] * batch_size)
         init_latents_orig = init_latents
 
-        # preprocess mask
-        if not isinstance(mask_image, torch.FloatTensor):
-            mask_image = preprocess_mask(mask_image)
-        mask_image = mask_image.to(self.device)
-        mask = torch.cat([mask_image] * batch_size)
-
         # check sizes
         if not mask.shape == init_latents.shape:
             raise ValueError("The mask and init_image should be the same size!")
diff --git a/tests/test_pipelines.py b/tests/test_pipelines.py
index 102a55a93e4b..389083d33808 100644
--- a/tests/test_pipelines.py
+++ b/tests/test_pipelines.py
@@ -699,7 +699,9 @@ def test_stable_diffusion_inpaint(self):
         image_from_tuple_slice = image_from_tuple[0, -3:, -3:, -1]
 
         assert image.shape == (1, 32, 32, 3)
-        expected_slice = np.array([0.4731, 0.5346, 0.4531, 0.6251, 0.5446, 0.4057, 0.5527, 0.5896, 0.5153])
+        expected_slice = np.array(
+            [0.4893303, 0.5381786, 0.46649122, 0.62859786, 0.53987336, 0.39735478, 0.5483682, 0.59601367, 0.5178648]
+        )
         assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-2
         assert np.abs(image_from_tuple_slice.flatten() - expected_slice).max() < 1e-2