



from transformers import PretrainedConfig


class 	lowerCamelCase__ (		_a   ):
						_lowerCAmelCase								= '''custom'''


						def __init__( self						:  Optional[int]      ,       _a						:  List[Any]=1      ,       **_a						:  Dict			):
													a__:       str											=attribute
													super().__init__(**_a			)


class 	lowerCamelCase__ (		_a   ):
						_lowerCAmelCase								= '''custom'''


						def __init__( self						:  List[Any]      ,       _a						:  Any=1      ,       **_a						:  str			):
													a__:       List[str]											=attribute










from ...utils import is_transformers_available
from .pipeline_latent_diffusion_superresolution import LDMSuperResolutionPipeline


if is_transformers_available():
		from .pipeline_latent_diffusion import LDMBertModel, LDMTextToImagePipeline





