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# Copyright 2024 The HuggingFace Inc. team. 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 (
IMAGE_AUX_SLOW_IMPORT,
OptionalDependencyNotAvailable,
_LazyModule,
is_torch_available,
is_transformers_available,
)
# Lazy Import based on
# https://github.com/huggingface/transformers/blob/main/src/transformers/__init__.py
# When adding a new object to this init, please add it to `_import_structure`. The `_import_structure` is a dictionary submodule to list of object names,
# and is used to defer the actual importing for when the objects are requested.
# This way `import image_gen_aux` provides the names in the namespace without actually importing anything (and especially none of the backends).
_import_structure = {
"upscalers": [],
"preprocessors": ["LineArtStandardPreprocessor"],
"utils": [
"OptionalDependencyNotAvailable",
"is_torch_available",
"logging",
],
}
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
...
else:
_import_structure["upscalers"].extend(["UpscaleWithModel"])
_import_structure["preprocessors"].extend(["DepthPreprocessor", "LineArtPreprocessor", "TeedPreprocessor"])
if TYPE_CHECKING or IMAGE_AUX_SLOW_IMPORT:
from .preprocessors import LineArtStandardPreprocessor
try:
if not is_torch_available():
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
...
else:
from .preprocessors import LineArtPreprocessor, TeedPreprocessor
from .upscalers import UpscaleWithModel
try:
if not (is_torch_available() and is_transformers_available()):
raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
...
else:
from .preprocessors import DepthPreprocessor
else:
import sys
sys.modules[__name__] = _LazyModule(
__name__,
globals()["__file__"],
_import_structure,
module_spec=__spec__,
)
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