'''
    #################################################################################################################################################################################################
    # This code library is an adaptation of the original Transformers and was designed, developed and programmed by Sapiens Technology®.                                                            #
    # Any alteration and/or disclosure of this code without prior authorization is strictly prohibited and is subject to legal action that will be forwarded by the Sapiens Technology® legal team. #
    # This set of algorithms aims to download, train, fine-tune and/or infer large language models from various sources and slopes.                                                                 #
    #################################################################################################################################################################################################
'''
from typing import TYPE_CHECKING
from ....utils import DIFFUSERS_SLOW_IMPORT, OptionalDependencyNotAvailable, _LazyModule, is_torch_available, is_transformers_available, is_sapiens_transformers_version
_dummy_objects = {}
_import_structure = {}
try:
    if not (is_transformers_available() and is_torch_available() and is_sapiens_transformers_version('>=', '4.25.0')): raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ....utils.dummy_torch_and_transformers_objects import VersatileDiffusionDualGuidedPipeline, VersatileDiffusionImageVariationPipeline, VersatileDiffusionPipeline, VersatileDiffusionTextToImagePipeline
    _dummy_objects.update({'VersatileDiffusionDualGuidedPipeline': VersatileDiffusionDualGuidedPipeline, 'VersatileDiffusionImageVariationPipeline': VersatileDiffusionImageVariationPipeline,
    'VersatileDiffusionPipeline': VersatileDiffusionPipeline, 'VersatileDiffusionTextToImagePipeline': VersatileDiffusionTextToImagePipeline})
else:
    _import_structure['modeling_text_unet'] = ['UNetFlatConditionModel']
    _import_structure['pipeline_versatile_diffusion'] = ['VersatileDiffusionPipeline']
    _import_structure['pipeline_versatile_diffusion_dual_guided'] = ['VersatileDiffusionDualGuidedPipeline']
    _import_structure['pipeline_versatile_diffusion_image_variation'] = ['VersatileDiffusionImageVariationPipeline']
    _import_structure['pipeline_versatile_diffusion_text_to_image'] = ['VersatileDiffusionTextToImagePipeline']
if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
    try:
        if not (is_transformers_available() and is_torch_available() and is_sapiens_transformers_version('>=', '4.25.0')): raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable: from ....utils.dummy_torch_and_transformers_objects import (VersatileDiffusionDualGuidedPipeline,
    VersatileDiffusionImageVariationPipeline, VersatileDiffusionPipeline, VersatileDiffusionTextToImagePipeline)
    else:
        from .pipeline_versatile_diffusion import VersatileDiffusionPipeline
        from .pipeline_versatile_diffusion_dual_guided import VersatileDiffusionDualGuidedPipeline
        from .pipeline_versatile_diffusion_image_variation import VersatileDiffusionImageVariationPipeline
        from .pipeline_versatile_diffusion_text_to_image import VersatileDiffusionTextToImagePipeline
else:
    import sys
    sys.modules[__name__] = _LazyModule(__name__, globals()['__file__'], _import_structure, module_spec=__spec__)
    for name, value in _dummy_objects.items(): setattr(sys.modules[__name__], name, value)
'''
    #################################################################################################################################################################################################
    # This code library is an adaptation of the original Transformers and was designed, developed and programmed by Sapiens Technology®.                                                            #
    # Any alteration and/or disclosure of this code without prior authorization is strictly prohibited and is subject to legal action that will be forwarded by the Sapiens Technology® legal team. #
    # This set of algorithms aims to download, train, fine-tune and/or infer large language models from various sources and slopes.                                                                 #
    #################################################################################################################################################################################################
'''
