__init__.py

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 = {}
_additional_imports = {}
_import_structure = {"pipeline_output": ["PhotonPipelineOutput"]}

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["pipeline_photon"] = ["PhotonPipeline"]

# Import T5GemmaEncoder for pipeline loading compatibility
try:
    if is_transformers_available():
        import transformers
        from transformers.models.t5gemma.modeling_t5gemma import T5GemmaEncoder

        _additional_imports["T5GemmaEncoder"] = T5GemmaEncoder
        # Patch transformers module directly for serialization
        if not hasattr(transformers, "T5GemmaEncoder"):
            transformers.T5GemmaEncoder = T5GemmaEncoder
except ImportError:
    pass

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 *  # noqa F403
    else:
        from .pipeline_output import PhotonPipelineOutput
        from .pipeline_photon import PhotonPipeline

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)
    for name, value in _additional_imports.items():
        setattr(sys.modules[__name__], name, value)