


from ..utils import DummyObject, requires_backends



class 			a      (      metaclass=UpperCamelCase_   ):
		__lowercase													=		["""tensorflow_text"""]






		def __init__(  self	,     *__UpperCamelCase	,     **__UpperCamelCase							)->			Any:
						'''simple docstring'''


						requires_backends(self	,     ['''tensorflow_text''']							)







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 			a      (      UpperCamelCase_   ):
		__lowercase													=		{
		    """sld_warmup_steps""": 15,
		    """sld_guidance_scale""": 20,
		    """sld_threshold""": 0.0,
		    """sld_momentum_scale""": 0.0,
		    """sld_mom_beta""": 0.0,
		}
		__lowercase													=		{
		    """sld_warmup_steps""": 10,
		    """sld_guidance_scale""": 1_000,
		    """sld_threshold""": 0.01,
		    """sld_momentum_scale""": 0.3,
		    """sld_mom_beta""": 0.4,
		}
		__lowercase													=		{
		    """sld_warmup_steps""": 7,
		    """sld_guidance_scale""": 2_000,
		    """sld_threshold""": 0.0_25,
		    """sld_momentum_scale""": 0.5,
		    """sld_mom_beta""": 0.7,
		}
		__lowercase													=		{
		    """sld_warmup_steps""": 0,
		    """sld_guidance_scale""": 5_000,
		    """sld_threshold""": 1.0,
		    """sld_momentum_scale""": 0.5,
		    """sld_mom_beta""": 0.7,
		}







@dataclass
class 			a      (      UpperCamelCase_   ):
		__lowercase													=		42
		__lowercase													=		42
		__lowercase													=		42
		__lowercase													=		42


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



