style: format

textual_inversion.py

@@ -7,12 +7,10 @@ from pathlib import Path
 from typing import Optional
 
 import numpy as np
+import PIL
 import torch
 import torch.nn.functional as F
 import torch.utils.checkpoint
-from torch.utils.data import Dataset
-
-import PIL
 from accelerate import Accelerator
 from accelerate.logging import get_logger
 from accelerate.utils import set_seed
@@ -32,11 +30,11 @@ from huggingface_hub import HfFolder, Repository, whoami
 # TODO: remove and import from diffusers.utils when the new version of diffusers is released
 from packaging import version
 from PIL import Image
+from torch.utils.data import Dataset
 from torchvision import transforms
 from tqdm.auto import tqdm
 from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
 
-
 if version.parse(version.parse(PIL.__version__).base_version) >= version.parse("9.1.0"):
     PIL_INTERPOLATION = {
         "linear": PIL.Image.Resampling.BILINEAR,