style

src/diffusers/modular_pipelines/components_manager.py

@@ -21,13 +21,12 @@ from typing import Any, Dict, List, Optional, Union
 
 import torch
 
+from ..hooks import ModelHook
 from ..utils import (
     is_accelerate_available,
     logging,
 )
 
-from ..hooks import ModelHook
-
 
 if is_accelerate_available():
     from accelerate.hooks import add_hook_to_module, remove_hook_from_module
@@ -69,6 +68,7 @@ class CustomOffloadHook(ModelHook):
             The device on which the model should be executed. Will default to the MPS device if it's available, then
             GPU 0 if there is a GPU, and finally to the CPU.
     """
+
     no_grad = False
 
     def __init__(
@@ -541,10 +541,9 @@ class ComponentsManager:
             raise ValueError(f"Invalid type for names: {type(names)}")
 
     def enable_auto_cpu_offload(self, device: Union[str, int, torch.device] = "cuda", memory_reserve_margin="3GB"):
-        
         if not is_accelerate_available():
             raise ImportError("Make sure to install accelerate to use auto_cpu_offload")
-        
+
         for name, component in self.components.items():
             if isinstance(component, torch.nn.Module) and hasattr(component, "_hf_hook"):
                 remove_hook_from_module(component, recurse=True)