from typing import TYPE_CHECKING from ...utils import ( DIFFUSERS_SLOW_IMPORT, OptionalDependencyNotAvailable, _LazyModule, get_objects_from_module, is_torch_available, is_transformers_available, ) _dummy_objects = {} _import_structure = {} try: if not (is_transformers_available() and is_torch_available()): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: from ...utils import dummy_torch_and_transformers_objects # noqa F403 _dummy_objects.update(get_objects_from_module(dummy_torch_and_transformers_objects)) else: _import_structure["connectors"] = ["LTX2TextConnectors"] _import_structure["latent_upsampler"] = ["LTX2LatentUpsamplerModel"] _import_structure["pipeline_ltx2"] = ["LTX2Pipeline"] _import_structure["pipeline_ltx2_condition"] = ["LTX2ConditionPipeline"] _import_structure["pipeline_ltx2_image2video"] = ["LTX2ImageToVideoPipeline"] _import_structure["pipeline_ltx2_latent_upsample"] = ["LTX2LatentUpsamplePipeline"] _import_structure["vocoder"] = ["LTX2Vocoder"] if TYPE_CHECKING or DIFFUSERS_SLOW_IMPORT: try: if not (is_transformers_available() and is_torch_available()): raise OptionalDependencyNotAvailable() except OptionalDependencyNotAvailable: from ...utils.dummy_torch_and_transformers_objects import * else: from .connectors import LTX2TextConnectors from .latent_upsampler import LTX2LatentUpsamplerModel from .pipeline_ltx2 import LTX2Pipeline from .pipeline_ltx2_condition import LTX2ConditionPipeline from .pipeline_ltx2_image2video import LTX2ImageToVideoPipeline from .pipeline_ltx2_latent_upsample import LTX2LatentUpsamplePipeline from .vocoder import LTX2Vocoder 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)