






import os
from typing import Dict, List, Tuple, TypeVar, Union


SCREAMING_SNAKE_CASE__		:							Any 				=				TypeVar("""T""")

SCREAMING_SNAKE_CASE__		:							List[Any] 				=				Union[List[T], Tuple[T, ...]]
SCREAMING_SNAKE_CASE__		:							int 				=				Union[T, List[T], Dict[str, T]]
SCREAMING_SNAKE_CASE__		:							Optional[int] 				=				Union[str, bytes, os.PathLike]














from dataclasses import dataclass
from enum import Enum
from typing import List, Optional, Union

import numpy as np
import PIL
from PIL import Image

from ...utils import BaseOutput, is_torch_available, is_transformers_available






@dataclass
class 					SCREAMING_SNAKE_CASE_  (       _a ):
       """simple docstring"""


       __lowerCAmelCase    :		Union[List[PIL.Image.Image], np.ndarray]
       __lowerCAmelCase    :		Optional[List[bool]]


if is_transformers_available() and is_torch_available():
    from .pipeline_semantic_stable_diffusion import SemanticStableDiffusionPipeline


