make style

src/diffusers/pipelines/stable_diffusion/pipeline_stable_diffusion_inpaint_legacy.py

@@ -45,7 +45,6 @@ def preprocess_image(image):
 
 
 def preprocess_mask(mask, scale_factor=8):
-
     if not isinstance(mask, torch.FloatTensor):
         mask = mask.convert("L")
         w, h = mask.size
@@ -65,7 +64,8 @@ def preprocess_mask(mask, scale_factor=8):
             mask = mask.permute(0, 3, 1, 2)
         elif mask.shape[1] not in valid_mask_channel_sizes:
             raise ValueError(
-                f"Mask channel dimension of size in {valid_mask_channel_sizes} should be second or fourth dimension, but received mask of shape {tuple(mask.shape)}"
+                f"Mask channel dimension of size in {valid_mask_channel_sizes} should be second or fourth dimension,"
+                f" but received mask of shape {tuple(mask.shape)}"
             )
         # (potentially) reduce mask channel dimension from 3 to 1 for broadcasting to latent shape
         mask = mask.mean(dim=1, keepdim=True)