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 2a1815cf6f..0c6fb0729e 100644
--- a/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py
+++ b/src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint.py
@@ -585,7 +585,7 @@ class StableDiffusionInpaintPipeline(
                 "Since strength < 1. initial latents are to be initialised as a combination of Image + Noise."
                 "However, either the image or the noise timestep has not been provided."
             )
-        
+
         noise = randn_tensor(shape, generator=generator, device=device, dtype=dtype)
 
         if return_image_latents or (latents is None and not is_strength_max):
@@ -768,9 +768,8 @@ class StableDiffusionInpaintPipeline(
                 [`self.processor`](https://github.com/huggingface/diffusers/blob/main/src/diffusers/models/attention_processor.py).
             force_unmasked_unchanged (`bool`, *optional*):
                 Whether to force the unmasked areas of `image` to remain exactly the same after inpainting for a model
-                with 9 UNet channels. If the UNet has only 4 channels, then the unmasked areas will always be forced
-                to remain unchanged, and setting `force_unmasked_unchanged` to `False` in this case will raise an
-                error.
+                with 9 UNet channels. If the UNet has only 4 channels, then the unmasked areas will always be forced to
+                remain unchanged, and setting `force_unmasked_unchanged` to `False` in this case will raise an error.
 
 
         Examples:
diff --git a/tests/pipelines/stable_diffusion/test_stable_diffusion_inpaint.py b/tests/pipelines/stable_diffusion/test_stable_diffusion_inpaint.py
index 616471b2c4..e2ab32e9cf 100644
--- a/tests/pipelines/stable_diffusion/test_stable_diffusion_inpaint.py
+++ b/tests/pipelines/stable_diffusion/test_stable_diffusion_inpaint.py
@@ -266,7 +266,7 @@ class StableDiffusionInpaintPipelineFastTests(
         inputs["strength"] = 0.01
         with self.assertRaises(ValueError):
             sd_pipe(**inputs).images
-    
+
     def test_stable_diffusion_inpaint_force_unmasked_unchanged(self):
         device = "cpu"  # ensure determinism for the device-dependent torch.Generator
         components = self.get_dummy_components()
@@ -364,7 +364,7 @@ class StableDiffusionSimpleInpaintPipelineFastTests(StableDiffusionInpaintPipeli
         expected_slice = np.array([0.4925, 0.4967, 0.4100, 0.5234, 0.5322, 0.4532, 0.5805, 0.5877, 0.4151])
 
         assert np.abs(image_slice.flatten() - expected_slice).max() < 1e-2
-    
+
     def test_stable_diffusion_inpaint_force_unmasked_unchanged_false(self):
         device = "cpu"  # ensure determinism for the device-dependent torch.Generator
         components = self.get_dummy_components()