make style

src/diffusers/pipelines/pipeline_utils.py

@@ -1035,8 +1035,9 @@ class DiffusionPipeline(ConfigMixin, PushToHubMixin):
         if not os.path.isdir(pretrained_model_name_or_path):
             if pretrained_model_name_or_path.count("/") > 1:
                 raise ValueError(
-                   f"The provided pretrained_model_name_or_path \"{pretrained_model_name_or_path}\""
-                   " is neither a valid local path nor a valid repo id. Please check the parameter.")
+                    f'The provided pretrained_model_name_or_path "{pretrained_model_name_or_path}"'
+                    " is neither a valid local path nor a valid repo id. Please check the parameter."
+                )
             cached_folder = cls.download(
                 pretrained_model_name_or_path,
                 cache_dir=cache_dir,

tests/pipelines/stable_diffusion_xl/test_stable_diffusion_xl_adapter.py

@@ -184,7 +184,6 @@ class StableDiffusionXLAdapterPipelineFastTests(PipelineTesterMixin, unittest.Te
         )
         assert np.abs(image_slice.flatten() - expected_slice).max() < 5e-3
 
-
     @parameterized.expand(["full_adapter", "full_adapter_xl", "light_adapter"])
     def test_total_downscale_factor(self, adapter_type):
         """Test that the T2IAdapter correctly reports its total_downscale_factor."""
@@ -216,6 +215,7 @@ class StableDiffusionXLAdapterPipelineFastTests(PipelineTesterMixin, unittest.Te
             expected_out_image_size,
         )
 
+
 class StableDiffusionXLMultiAdapterPipelineFastTests(
     StableDiffusionXLAdapterPipelineFastTests, PipelineTesterMixin, unittest.TestCase
 ):