# 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__, )