Apply style fixes

Author: github-actions[bot]

src/diffusers/__init__.py

@@ -178,13 +178,12 @@
         ]
     )
     _import_structure["image_processor"] = [
-        "IPAdapterMaskProcessor",
         "InpaintProcessor",
+        "IPAdapterMaskProcessor",
         "PixArtImageProcessor",
         "VaeImageProcessor",
         "VaeImageProcessorLDM3D",
     ]
-    _import_structure["video_processor"] = ["VideoProcessor"]
     _import_structure["models"].extend(
         [
             "AllegroTransformer3DModel",
@@ -396,6 +395,7 @@
         ]
     )
     _import_structure["training_utils"] = ["EMAModel"]
+    _import_structure["video_processor"] = ["VideoProcessor"]
 
 try:
     if not (is_torch_available() and is_scipy_available()):

src/diffusers/models/transformers/transformer_qwenimage.py

@@ -319,7 +319,9 @@ def _compute_video_freqs(
         self, frame: int, height: int, width: int, idx: int = 0, device: torch.device = None
     ) -> torch.Tensor:
         seq_lens = frame * height * width
-        pos_freqs, neg_freqs = self._get_device_freqs(device) if device is not None else (self.pos_freqs, self.neg_freqs)
+        pos_freqs, neg_freqs = (
+            self._get_device_freqs(device) if device is not None else (self.pos_freqs, self.neg_freqs)
+        )
 
         freqs_pos = pos_freqs.split([x // 2 for x in self.axes_dim], dim=1)
         freqs_neg = neg_freqs.split([x // 2 for x in self.axes_dim], dim=1)
@@ -445,7 +447,9 @@ def forward(
     @lru_cache_unless_export(maxsize=None)
     def _compute_video_freqs(self, frame, height, width, idx=0, device: torch.device = None):
         seq_lens = frame * height * width
-        pos_freqs, neg_freqs = self._get_device_freqs(device) if device is not None else (self.pos_freqs, self.neg_freqs)
+        pos_freqs, neg_freqs = (
+            self._get_device_freqs(device) if device is not None else (self.pos_freqs, self.neg_freqs)
+        )
 
         freqs_pos = pos_freqs.split([x // 2 for x in self.axes_dim], dim=1)
         freqs_neg = neg_freqs.split([x // 2 for x in self.axes_dim], dim=1)
@@ -466,7 +470,9 @@ def _compute_video_freqs(self, frame, height, width, idx=0, device: torch.device
     @lru_cache_unless_export(maxsize=None)
     def _compute_condition_freqs(self, frame, height, width, device: torch.device = None):
         seq_lens = frame * height * width
-        pos_freqs, neg_freqs = self._get_device_freqs(device) if device is not None else (self.pos_freqs, self.neg_freqs)
+        pos_freqs, neg_freqs = (
+            self._get_device_freqs(device) if device is not None else (self.pos_freqs, self.neg_freqs)
+        )
 
         freqs_pos = pos_freqs.split([x // 2 for x in self.axes_dim], dim=1)
         freqs_neg = neg_freqs.split([x // 2 for x in self.axes_dim], dim=1)