
"""simple docstring"""






from ...utils import (
    OptionalDependencyNotAvailable,
    is_torch_available,
    is_transformers_available,
    is_transformers_version,
)


try:
					if not (is_transformers_available() and is_torch_available() and is_transformers_version('''>=''', '''4.25.0''')):
										raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
					from ...utils.dummy_torch_and_transformers_objects import (
					    VersatileDiffusionDualGuidedPipeline,
					    VersatileDiffusionImageVariationPipeline,
					    VersatileDiffusionPipeline,
					    VersatileDiffusionTextToImagePipeline,
					)
else:
					from .modeling_text_unet import UNetFlatConditionModel
					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







"""simple docstring"""






_lowercase							=				'''
# Installazione di Transformers
! pip install transformers datasets
# Per installare dalla fonte invece dell\'ultima versione rilasciata, commenta il comando sopra e
# rimuovi la modalità commento al comando seguente.
# ! pip install git+https://github.com/huggingface/transformers.git
'''

_lowercase							=				[{'''type''': '''code''', '''content''': INSTALL_CONTENT}]
_lowercase							=				{
    '''{processor_class}''': '''FakeProcessorClass''',
    '''{model_class}''': '''FakeModelClass''',
    '''{object_class}''': '''FakeObjectClass''',
}





