diff --git a/scripts/convert_photon_to_diffusers.py b/scripts/convert_photon_to_diffusers.py
index c9c07f191f..0f24e50369 100644
--- a/scripts/convert_photon_to_diffusers.py
+++ b/scripts/convert_photon_to_diffusers.py
@@ -340,7 +340,7 @@ if __name__ == "__main__":
         default=DEFAULT_RESOLUTION,
         help="Target resolution for the model (256, 512, or 1024). Affects the transformer's sample_size.",
     )
-    
+
     parser.add_argument(
         "--shift",
         type=float,
diff --git a/src/diffusers/models/transformers/transformer_photon.py b/src/diffusers/models/transformers/transformer_photon.py
index b5a89d642d..b77e2f8d6f 100644
--- a/src/diffusers/models/transformers/transformer_photon.py
+++ b/src/diffusers/models/transformers/transformer_photon.py
@@ -227,6 +227,7 @@ class QKNorm(torch.nn.Module):
         k = self.key_norm(k)
         return q.to(v), k.to(v)
 
+
 class Modulation(nn.Module):
     r"""
     Modulation network that generates scale, shift, and gating parameters.
@@ -339,8 +340,6 @@ class PhotonBlock(nn.Module):
 
         self.modulation = Modulation(hidden_size)
 
-
-
     def forward(
         self,
         img: Tensor,