57 lines
1.8 KiB
Python
57 lines
1.8 KiB
Python
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from typing import TYPE_CHECKING
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from ...utils import (
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DIFFUSERS_SLOW_IMPORT,
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OptionalDependencyNotAvailable,
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_LazyModule,
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get_objects_from_module,
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is_torch_available,
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is_transformers_available,
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)
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_dummy_objects = {}
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_import_structure = {}
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try:
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if not (is_transformers_available() and is_torch_available()):
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raise OptionalDependencyNotAvailable()
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except OptionalDependencyNotAvailable:
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from ...utils import dummy_torch_and_transformers_objects # noqa F403
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_dummy_objects.update(get_objects_from_module(dummy_torch_and_transformers_objects))
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else:
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_import_structure["modeling_latent_upsampler"] = ["LTXLatentUpsamplerModel"]
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_import_structure["pipeline_ltx"] = ["LTXPipeline"]
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_import_structure["pipeline_ltx_condition"] = ["LTXConditionPipeline"]
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_import_structure["pipeline_ltx_image2video"] = ["LTXImageToVideoPipeline"]
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_import_structure["pipeline_ltx_latent_upsample"] = ["LTXLatentUpsamplePipeline"]
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if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT:
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try:
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if not (is_transformers_available() and is_torch_available()):
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raise OptionalDependencyNotAvailable()
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except OptionalDependencyNotAvailable:
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from ...utils.dummy_torch_and_transformers_objects import *
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else:
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from .modeling_latent_upsampler import LTXLatentUpsamplerModel
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from .pipeline_ltx import LTXPipeline
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from .pipeline_ltx_condition import LTXConditionPipeline
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from .pipeline_ltx_image2video import LTXImageToVideoPipeline
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from .pipeline_ltx_latent_upsample import LTXLatentUpsamplePipeline
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else:
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import sys
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sys.modules[__name__] = _LazyModule(
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__name__,
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globals()["__file__"],
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_import_structure,
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module_spec=__spec__,
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)
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for name, value in _dummy_objects.items():
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setattr(sys.modules[__name__], name, value)
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