


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

import numpy as np
import PIL

from ...utils import BaseOutput, is_invisible_watermark_available, is_torch_available, is_transformers_available


@dataclass
class 	a__						(    _SCREAMING_SNAKE_CASE     ):
       lowerCamelCase__:  Union[List[PIL.Image.Image], np.ndarray]


if is_transformers_available() and is_torch_available() and is_invisible_watermark_available():
       from .pipeline_stable_diffusion_xl import StableDiffusionXLPipeline
       from .pipeline_stable_diffusion_xl_imgaimg import StableDiffusionXLImgaImgPipeline





def  A			(   lowercase					)  ->    int:
		'''simple docstring'''

		return int(lowercase					) if x - int(lowercase					) >= 0 else int(lowercase					) - 1


if __name__ == "__main__":
					import doctest

					doctest.testmod()
