make style

examples/dreambooth/train_dreambooth.py

@@ -27,13 +27,20 @@ import numpy as np
 import torch
 import torch.nn.functional as F
 import torch.utils.checkpoint
-from torch.utils.data import Dataset
-
-import diffusers
 import transformers
 from accelerate import Accelerator
 from accelerate.logging import get_logger
 from accelerate.utils import ProjectConfiguration, set_seed
+from huggingface_hub import create_repo, model_info, upload_folder
+from packaging import version
+from PIL import Image
+from PIL.ImageOps import exif_transpose
+from torch.utils.data import Dataset
+from torchvision import transforms
+from tqdm.auto import tqdm
+from transformers import AutoTokenizer, PretrainedConfig
+
+import diffusers
 from diffusers import (
     AutoencoderKL,
     DDPMScheduler,
@@ -44,13 +51,6 @@ from diffusers import (
 from diffusers.optimization import get_scheduler
 from diffusers.utils import check_min_version, is_wandb_available
 from diffusers.utils.import_utils import is_xformers_available
-from huggingface_hub import create_repo, model_info, upload_folder
-from packaging import version
-from PIL import Image
-from PIL.ImageOps import exif_transpose
-from torchvision import transforms
-from tqdm.auto import tqdm
-from transformers import AutoTokenizer, PretrainedConfig
 
 
 if is_wandb_available():

examples/dreambooth/train_dreambooth_lora.py

@@ -27,13 +27,20 @@ import numpy as np
 import torch
 import torch.nn.functional as F
 import torch.utils.checkpoint
-from torch.utils.data import Dataset
-
-import diffusers
 import transformers
 from accelerate import Accelerator
 from accelerate.logging import get_logger
 from accelerate.utils import ProjectConfiguration, set_seed
+from huggingface_hub import create_repo, upload_folder
+from packaging import version
+from PIL import Image
+from PIL.ImageOps import exif_transpose
+from torch.utils.data import Dataset
+from torchvision import transforms
+from tqdm.auto import tqdm
+from transformers import AutoTokenizer, PretrainedConfig
+
+import diffusers
 from diffusers import (
     AutoencoderKL,
     DDPMScheduler,
@@ -53,13 +60,6 @@ from diffusers.models.attention_processor import (
 from diffusers.optimization import get_scheduler
 from diffusers.utils import TEXT_ENCODER_TARGET_MODULES, check_min_version, is_wandb_available
 from diffusers.utils.import_utils import is_xformers_available
-from huggingface_hub import create_repo, upload_folder
-from packaging import version
-from PIL import Image
-from PIL.ImageOps import exif_transpose
-from torchvision import transforms
-from tqdm.auto import tqdm
-from transformers import AutoTokenizer, PretrainedConfig
 
 
 # Will error if the minimal version of diffusers is not installed. Remove at your own risks.