code: 
  
  
  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):
  
  
  
  
       '''simple docstring'''
       __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):
  
  
  
  
       '''simple docstring'''
       __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
  
style_context: 
  
  
  from typing import TYPE_CHECKING
  
  from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_vision_available
  
  
  lowerCAmelCase__   	=				{
      'configuration_deta': ['DETA_PRETRAINED_CONFIG_ARCHIVE_MAP', 'DetaConfig'],
  }
  
  try:
      if not is_vision_available():
          raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
      pass
  else:
      lowerCAmelCase__   	=				['DetaImageProcessor']
  
  try:
      if not is_torch_available():
          raise OptionalDependencyNotAvailable()
  except OptionalDependencyNotAvailable:
      pass
  else:
      lowerCAmelCase__   	=				[
          'DETA_PRETRAINED_MODEL_ARCHIVE_LIST',
          'DetaForObjectDetection',
          'DetaModel',
          'DetaPreTrainedModel',
      ]
  
  
  if TYPE_CHECKING:
      from .configuration_deta import DETA_PRETRAINED_CONFIG_ARCHIVE_MAP, DetaConfig
  
      try:
          if not is_vision_available():
              raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
          pass
      else:
          from .image_processing_deta import DetaImageProcessor
  
      try:
          if not is_torch_available():
              raise OptionalDependencyNotAvailable()
      except OptionalDependencyNotAvailable:
          pass
      else:
          from .modeling_deta import (
              DETA_PRETRAINED_MODEL_ARCHIVE_LIST,
              DetaForObjectDetection,
              DetaModel,
              DetaPreTrainedModel,
          )
  
  else:
      import sys
  
      lowerCAmelCase__   	=				_LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
  