
from typing import TYPE_CHECKING

from ...utils import (
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_torch_available,
)


SCREAMING_SNAKE_CASE							:Dict											=       {
    'configuration_bark': [
        'BARK_PRETRAINED_CONFIG_ARCHIVE_MAP',
        'BarkCoarseConfig',
        'BarkConfig',
        'BarkFineConfig',
        'BarkSemanticConfig',
    ],
    'processing_bark': ['BarkProcessor'],
}

try:
					if not is_torch_available():
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					pass
else:
					SCREAMING_SNAKE_CASE							:Any											=       [
					    'BARK_PRETRAINED_MODEL_ARCHIVE_LIST',
					    'BarkFineModel',
					    'BarkSemanticModel',
					    'BarkCoarseModel',
					    'BarkModel',
					    'BarkPreTrainedModel',
					    'BarkCausalModel',
					]

if TYPE_CHECKING:
					from .configuration_bark import (
					    BARK_PRETRAINED_CONFIG_ARCHIVE_MAP,
					    BarkCoarseConfig,
					    BarkConfig,
					    BarkFineConfig,
					    BarkSemanticConfig,
					)
					from .processing_bark import BarkProcessor

					try:
										if not is_torch_available():
															raise OptionalDependencyNotAvailable()
					except OptionalDependencyNotAvailable:
										pass
					else:
										from .modeling_bark import (
										    BARK_PRETRAINED_MODEL_ARCHIVE_LIST,
										    BarkCausalModel,
										    BarkCoarseModel,
										    BarkFineModel,
										    BarkModel,
										    BarkPreTrainedModel,
										    BarkSemanticModel,
										)

else:
					import sys

					SCREAMING_SNAKE_CASE							:str											=       _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)


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


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