111 lines
3.3 KiB
Python
111 lines
3.3 KiB
Python
# Copyright 2022 The HuggingFace Inc. team. All rights reserved.
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#
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# Licensed under the Apache License, Version 2.0 (the "License");
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# you may not use this file except in compliance with the License.
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# You may obtain a copy of the License at
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#
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# http://www.apache.org/licenses/LICENSE-2.0
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#
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# Unless required by applicable law or agreed to in writing, software
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# distributed under the License is distributed on an "AS IS" BASIS,
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# WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied.
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# See the License for the specific language governing permissions and
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# limitations under the License.
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import os
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from packaging import version
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from .. import __version__
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from .deprecation_utils import deprecate
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from .import_utils import (
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ENV_VARS_TRUE_AND_AUTO_VALUES,
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ENV_VARS_TRUE_VALUES,
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USE_JAX,
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USE_TF,
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USE_TORCH,
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DummyObject,
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OptionalDependencyNotAvailable,
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is_accelerate_available,
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is_flax_available,
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is_inflect_available,
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is_k_diffusion_available,
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is_librosa_available,
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is_modelcards_available,
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is_onnx_available,
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is_safetensors_available,
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is_scipy_available,
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is_tf_available,
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is_torch_available,
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is_torch_version,
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is_transformers_available,
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is_transformers_version,
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is_unidecode_available,
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requires_backends,
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)
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from .logging import get_logger
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from .outputs import BaseOutput
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from .pil_utils import PIL_INTERPOLATION
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if is_torch_available():
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from .testing_utils import (
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floats_tensor,
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load_hf_numpy,
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load_image,
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load_numpy,
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nightly,
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parse_flag_from_env,
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require_torch_gpu,
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slow,
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torch_all_close,
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torch_device,
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)
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logger = get_logger(__name__)
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hf_cache_home = os.path.expanduser(
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os.getenv("HF_HOME", os.path.join(os.getenv("XDG_CACHE_HOME", "~/.cache"), "huggingface"))
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)
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default_cache_path = os.path.join(hf_cache_home, "diffusers")
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CONFIG_NAME = "config.json"
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WEIGHTS_NAME = "diffusion_pytorch_model.bin"
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FLAX_WEIGHTS_NAME = "diffusion_flax_model.msgpack"
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ONNX_WEIGHTS_NAME = "model.onnx"
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SAFETENSORS_WEIGHTS_NAME = "diffusion_pytorch_model.safetensors"
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ONNX_EXTERNAL_WEIGHTS_NAME = "weights.pb"
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HUGGINGFACE_CO_RESOLVE_ENDPOINT = "https://huggingface.co"
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DIFFUSERS_CACHE = default_cache_path
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DIFFUSERS_DYNAMIC_MODULE_NAME = "diffusers_modules"
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HF_MODULES_CACHE = os.getenv("HF_MODULES_CACHE", os.path.join(hf_cache_home, "modules"))
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_COMPATIBLE_STABLE_DIFFUSION_SCHEDULERS = [
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"DDIMScheduler",
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"DDPMScheduler",
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"PNDMScheduler",
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"LMSDiscreteScheduler",
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"EulerDiscreteScheduler",
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"HeunDiscreteScheduler",
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"EulerAncestralDiscreteScheduler",
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"DPMSolverMultistepScheduler",
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"DPMSolverSinglestepScheduler",
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]
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def check_min_version(min_version):
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if version.parse(__version__) < version.parse(min_version):
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if "dev" in min_version:
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error_message = (
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"This example requires a source install from HuggingFace diffusers (see "
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"`https://huggingface.co/docs/diffusers/installation#install-from-source`),"
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)
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else:
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error_message = f"This example requires a minimum version of {min_version},"
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error_message += f" but the version found is {__version__}.\n"
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raise ImportError(error_message)
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