style

Author: yiyixuxu

src/diffusers/models/controlnets/controlnet_sd3.py

@@ -56,9 +56,7 @@ def __init__(
         out_channels: int = 16,
         pos_embed_max_size: int = 96,
         extra_conditioning_channels: int = 0,
-        dual_attention_layers: Tuple[
-            int, ...
-        ] = (), 
+        dual_attention_layers: Tuple[int, ...] = (),
         qk_norm: Optional[str] = None,
     ):
         super().__init__()

src/diffusers/models/transformers/transformer_sd3.py

@@ -15,9 +15,9 @@
 
 from typing import Any, Dict, List, Optional, Tuple, Union
 
+import numpy as np
 import torch
 import torch.nn as nn
-import numpy as np 
 
 from ...configuration_utils import ConfigMixin, register_to_config
 from ...loaders import FromOriginalModelMixin, PeftAdapterMixin

tests/pipelines/controlnet_sd3/test_controlnet_sd3.py

@@ -15,11 +15,11 @@
 
 import gc
 import unittest
+from typing import Optional
 
 import numpy as np
 import pytest
 import torch
-from typing import Optional
 from transformers import AutoTokenizer, CLIPTextConfig, CLIPTextModelWithProjection, CLIPTokenizer, T5EncoderModel
 
 from diffusers import (
@@ -59,7 +59,7 @@ class StableDiffusion3ControlNetPipelineFastTests(unittest.TestCase, PipelineTes
         ]
     )
     batch_params = frozenset(["prompt", "negative_prompt"])
-    
+
     def get_dummy_components(self, num_controlnet_layers: int = 3, qk_norm: Optional[str] = "rms_norm"):
         torch.manual_seed(0)
         transformer = SD3Transformer2DModel(