make style

src/diffusers/pipelines/stable_diffusion/convert_from_ckpt.py

@@ -1387,7 +1387,7 @@ def download_from_original_stable_diffusion_ckpt(
         unet = UNet2DConditionModel(**unet_config)
 
     if is_accelerate_available():
-        if model_type not in ["SDXL", "SDXL-Refiner"]: # SBM Delay this.
+        if model_type not in ["SDXL", "SDXL-Refiner"]:  # SBM Delay this.
             for param_name, param in converted_unet_checkpoint.items():
                 set_module_tensor_to_device(unet, param_name, "cpu", value=param)
     else:
@@ -1589,7 +1589,7 @@ def download_from_original_stable_diffusion_ckpt(
                 checkpoint, config_name, prefix="conditioner.embedders.1.model.", has_projection=True, **config_kwargs
             )
 
-            if is_accelerate_available(): # SBM Now move model to cpu.
+            if is_accelerate_available():  # SBM Now move model to cpu.
                 if model_type in ["SDXL", "SDXL-Refiner"]:
                     for param_name, param in converted_unet_checkpoint.items():
                         set_module_tensor_to_device(unet, param_name, "cpu", value=param)
@@ -1617,11 +1617,11 @@ def download_from_original_stable_diffusion_ckpt(
                 checkpoint, config_name, prefix="conditioner.embedders.0.model.", has_projection=True, **config_kwargs
             )
 
-            if is_accelerate_available(): # SBM Now move model to cpu.
+            if is_accelerate_available():  # SBM Now move model to cpu.
                 if model_type in ["SDXL", "SDXL-Refiner"]:
                     for param_name, param in converted_unet_checkpoint.items():
                         set_module_tensor_to_device(unet, param_name, "cpu", value=param)
-            
+
             pipe = StableDiffusionXLImg2ImgPipeline(
                 vae=vae,
                 text_encoder=text_encoder,