


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 				lowerCamelCase__       (	_a):
     SCREAMING_SNAKE_CASE__				      =      {
         '''sld_warmup_steps''': 15,
         '''sld_guidance_scale''': 20,
         '''sld_threshold''': 0.0,
         '''sld_momentum_scale''': 0.0,
         '''sld_mom_beta''': 0.0,
     }
     SCREAMING_SNAKE_CASE__				      =      {
         '''sld_warmup_steps''': 10,
         '''sld_guidance_scale''': 1000,
         '''sld_threshold''': 0.01,
         '''sld_momentum_scale''': 0.3,
         '''sld_mom_beta''': 0.4,
     }
     SCREAMING_SNAKE_CASE__				      =      {
         '''sld_warmup_steps''': 7,
         '''sld_guidance_scale''': 2000,
         '''sld_threshold''': 0.025,
         '''sld_momentum_scale''': 0.5,
         '''sld_mom_beta''': 0.7,
     }
     SCREAMING_SNAKE_CASE__				      =      {
         '''sld_warmup_steps''': 0,
         '''sld_guidance_scale''': 5000,
         '''sld_threshold''': 1.0,
         '''sld_momentum_scale''': 0.5,
         '''sld_mom_beta''': 0.7,
     }







@dataclass
class 				lowerCamelCase__       (	_a):
     SCREAMING_SNAKE_CASE__				      =      42
     SCREAMING_SNAKE_CASE__				      =      42
     SCREAMING_SNAKE_CASE__				      =      42
     SCREAMING_SNAKE_CASE__				      =      42


if is_transformers_available() and is_torch_available():
  from .pipeline_stable_diffusion_safe import StableDiffusionPipelineSafe
  from .safety_checker import SafeStableDiffusionSafetyChecker





def     UpperCAmelCase_ (							__snake_case						)					->      str:







 """simple docstring"""


 return " ".join(sorted(set(sentence.split()						)						)						)


if __name__ == "__main__":
  import doctest

  doctest.testmod()

