__init__.py

# Copyright (c) 2024 PaddlePaddle Authors. All Rights Reserved.
#
# Licensed under the Apache License, Version 2.0 (the "License");
# you may not use this file except in compliance with the License.
# You may obtain a copy of the License at
#
#     http://www.apache.org/licenses/LICENSE-2.0
#
# Unless required by applicable law or agreed to in writing, software
# distributed under the License is distributed on an "AS IS" BASIS,
# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
# See the License for the specific language governing permissions and
# limitations under the License.

from typing import TYPE_CHECKING

from ...utils import (
    PPDIFFUSERS_SLOW_IMPORT,
    OptionalDependencyNotAvailable,
    _LazyModule,
    is_paddle_available,
    is_paddlenlp_available,
)

_dummy_objects = {}
_import_structure = {}

try:
    if not (is_paddlenlp_available() and is_paddle_available()):
        raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
    from ...utils.dummy_paddle_and_paddlenlp_objects import (
        ImageTextPipelineOutput,
        UniDiffuserPipeline,
    )

    _dummy_objects.update(
        {"ImageTextPipelineOutput": ImageTextPipelineOutput, "UniDiffuserPipeline": UniDiffuserPipeline}
    )
else:
    _import_structure["modeling_text_decoder"] = ["UniDiffuserTextDecoder"]
    _import_structure["modeling_uvit"] = ["UniDiffuserModel", "UTransformer2DModel"]
    _import_structure["pipeline_unidiffuser"] = ["ImageTextPipelineOutput", "UniDiffuserPipeline"]


if TYPE_CHECKING or PPDIFFUSERS_SLOW_IMPORT:
    try:
        if not (is_paddlenlp_available() and is_paddle_available()):
            raise OptionalDependencyNotAvailable()
    except OptionalDependencyNotAvailable:
        from ...utils.dummy_paddle_and_paddlenlp_objects import (
            ImageTextPipelineOutput,
            UniDiffuserPipeline,
        )
    else:
        from .modeling_text_decoder import UniDiffuserTextDecoder
        from .modeling_uvit import UniDiffuserModel, UTransformer2DModel
        from .pipeline_unidiffuser import ImageTextPipelineOutput, UniDiffuserPipeline

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)