diff --git a/src/diffusers/pipelines/unidiffuser/modeling_text_decoder.py b/src/diffusers/pipelines/unidiffuser/modeling_text_decoder.py
index efd1a15be8..e600429c7e 100644
--- a/src/diffusers/pipelines/unidiffuser/modeling_text_decoder.py
+++ b/src/diffusers/pipelines/unidiffuser/modeling_text_decoder.py
@@ -160,7 +160,7 @@ class UniDiffuserTextDecoder(ModelMixin, ConfigMixin, ModuleUtilsMixin):
 
     def get_dummy_token(self, batch_size: int, device: torch.device) -> torch.Tensor:
         return torch.zeros(batch_size, self.prefix_length, dtype=torch.int64, device=device)
-    
+
     def encode(self, prefix):
         return self.encode_prefix(prefix)
 
diff --git a/tests/pipelines/unidiffuser/test_unidiffuser.py b/tests/pipelines/unidiffuser/test_unidiffuser.py
index 967284876a..3fb9d9e9b5 100644
--- a/tests/pipelines/unidiffuser/test_unidiffuser.py
+++ b/tests/pipelines/unidiffuser/test_unidiffuser.py
@@ -454,7 +454,7 @@ class UniDiffuserPipelineFastTests(PipelineTesterMixin, unittest.TestCase):
         image_slice = image[0, -3:, -3:, -1]
         expected_img_slice = np.array([0.5757, 0.6270, 0.6567, 0.4966, 0.4639, 0.5664, 0.5259, 0.5068, 0.5713])
         assert np.abs(image_slice.flatten() - expected_img_slice).max() < 1e-3
-    
+
     @require_torch_gpu
     def test_unidiffuser_default_img2text_v1_cuda_fp16(self):
         device = "cuda"