fix make style

Author: patrickvonplaten

examples/community/imagic_stable_diffusion.py

@@ -18,12 +18,13 @@
 from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
 from diffusers.schedulers import DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler
 from diffusers.utils import logging
+
+# TODO: remove and import from diffusers.utils when the new version of diffusers is released
+from packaging import version
 from tqdm.auto import tqdm
 from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
 
 
-# TODO: remove and import from diffusers.utils when the new version of diffusers is released
-from packaging import version
 if version.parse(version.parse(PIL.__version__).base_version) >= version.parse("9.1.0"):
     PIL_INTERPOLATION = {
         "linear": PIL.Image.Resampling.BILINEAR,

examples/community/lpw_stable_diffusion.py

@@ -13,10 +13,12 @@
 from diffusers.pipelines.stable_diffusion.safety_checker import StableDiffusionSafetyChecker
 from diffusers.schedulers import DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler
 from diffusers.utils import deprecate, is_accelerate_available, logging
-from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
 
 # TODO: remove and import from diffusers.utils when the new version of diffusers is released
 from packaging import version
+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,

examples/community/lpw_stable_diffusion_onnx.py

@@ -11,10 +11,12 @@
 from diffusers.pipelines.stable_diffusion import StableDiffusionPipelineOutput
 from diffusers.schedulers import DDIMScheduler, LMSDiscreteScheduler, PNDMScheduler
 from diffusers.utils import logging
-from transformers import CLIPFeatureExtractor, CLIPTokenizer
 
 # TODO: remove and import from diffusers.utils when the new version of diffusers is released
 from packaging import version
+from transformers import CLIPFeatureExtractor, CLIPTokenizer
+
+
 if version.parse(version.parse(PIL.__version__).base_version) >= version.parse("9.1.0"):
     PIL_INTERPOLATION = {
         "linear": PIL.Image.Resampling.BILINEAR,

examples/textual_inversion/textual_inversion.py

@@ -12,21 +12,23 @@
 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
 from diffusers import AutoencoderKL, DDPMScheduler, PNDMScheduler, StableDiffusionPipeline, UNet2DConditionModel
 from diffusers.optimization import get_scheduler
 from diffusers.pipelines.stable_diffusion import StableDiffusionSafetyChecker
 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 torchvision import transforms
 from tqdm.auto import tqdm
 from transformers import CLIPFeatureExtractor, CLIPTextModel, CLIPTokenizer
 
-# TODO: remove and import from diffusers.utils when the new version of diffusers is released
-from packaging import version
-import PIL
+
 if version.parse(version.parse(PIL.__version__).base_version) >= version.parse("9.1.0"):
     PIL_INTERPOLATION = {
         "linear": PIL.Image.Resampling.BILINEAR,

examples/textual_inversion/textual_inversion_flax.py

@@ -14,6 +14,7 @@
 import jax
 import jax.numpy as jnp
 import optax
+import PIL
 import transformers
 from diffusers import (
     FlaxAutoencoderKL,
@@ -27,15 +28,15 @@
 from flax.training import train_state
 from flax.training.common_utils import shard
 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 torchvision import transforms
 from tqdm.auto import tqdm
 from transformers import CLIPFeatureExtractor, CLIPTokenizer, FlaxCLIPTextModel, set_seed
 
 
-# TODO: remove and import from diffusers.utils when the new version of diffusers is released
-from packaging import version
-import PIL
 if version.parse(version.parse(PIL.__version__).base_version) >= version.parse("9.1.0"):
     PIL_INTERPOLATION = {
         "linear": PIL.Image.Resampling.BILINEAR,