make style

examples/text_to_image/train_text_to_image_lora.py

@@ -418,9 +418,9 @@ def main():
     # freeze parameters of models to save more memory
     unet.requires_grad_(False)
     vae.requires_grad_(False)
-    
+
     text_encoder.requires_grad_(False)
-    
+
     # For mixed precision training we cast the text_encoder and vae weights to half-precision
     # as these models are only used for inference, keeping weights in full precision is not required.
     weight_dtype = torch.float32