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27 | 27 | import torch |
28 | 28 | import torch.nn.functional as F |
29 | 29 | import torch.utils.checkpoint |
30 | | -from torch.utils.data import Dataset |
31 | | - |
32 | | -import diffusers |
33 | 30 | import transformers |
34 | 31 | from accelerate import Accelerator |
35 | 32 | from accelerate.logging import get_logger |
36 | 33 | from accelerate.utils import ProjectConfiguration, set_seed |
| 34 | +from huggingface_hub import create_repo, upload_folder |
| 35 | +from packaging import version |
| 36 | +from PIL import Image |
| 37 | +from PIL.ImageOps import exif_transpose |
| 38 | +from torch.utils.data import Dataset |
| 39 | +from torchvision import transforms |
| 40 | +from tqdm.auto import tqdm |
| 41 | +from transformers import AutoTokenizer, PretrainedConfig |
| 42 | + |
| 43 | +import diffusers |
37 | 44 | from diffusers import ( |
38 | 45 | AutoencoderKL, |
39 | 46 | DDPMScheduler, |
|
53 | 60 | from diffusers.optimization import get_scheduler |
54 | 61 | from diffusers.utils import TEXT_ENCODER_TARGET_MODULES, check_min_version, is_wandb_available |
55 | 62 | from diffusers.utils.import_utils import is_xformers_available |
56 | | -from huggingface_hub import create_repo, upload_folder |
57 | | -from packaging import version |
58 | | -from PIL import Image |
59 | | -from PIL.ImageOps import exif_transpose |
60 | | -from torchvision import transforms |
61 | | -from tqdm.auto import tqdm |
62 | | -from transformers import AutoTokenizer, PretrainedConfig |
63 | 63 |
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64 | 64 |
|
65 | 65 | # Will error if the minimal version of diffusers is not installed. Remove at your own risks. |
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