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# Copyright 2022 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.

import os

from packaging import version

from .. import __version__

from .deprecation_utils import deprecate

from .import_utils import (

ENV_VARS_TRUE_AND_AUTO_VALUES,

ENV_VARS_TRUE_VALUES,

USE_JAX,

USE_TF,

USE_TORCH,

DummyObject,

OptionalDependencyNotAvailable,

is_accelerate_available,

is_flax_available,

is_inflect_available,

is_k_diffusion_available,

is_librosa_available,

is_modelcards_available,

is_onnx_available,

is_safetensors_available,

is_scipy_available,

is_tf_available,

is_torch_available,

is_torch_version,

is_transformers_available,

is_transformers_version,

is_unidecode_available,

requires_backends,

)

from .logging import get_logger

from .outputs import BaseOutput

from .pil_utils import PIL_INTERPOLATION

if is_torch_available():

from .testing_utils import (

floats_tensor,

load_hf_numpy,

load_image,

load_numpy,

parse_flag_from_env,

require_torch_gpu,

slow,

torch_all_close,

torch_device,

)

logger = get_logger(__name__)

hf_cache_home = os.path.expanduser(

os.getenv("HF_HOME", os.path.join(os.getenv("XDG_CACHE_HOME", "~/.cache"), "huggingface"))

)

default_cache_path = os.path.join(hf_cache_home, "diffusers")

CONFIG_NAME = "config.json"

WEIGHTS_NAME = "diffusion_pytorch_model.bin"

FLAX_WEIGHTS_NAME = "diffusion_flax_model.msgpack"

ONNX_WEIGHTS_NAME = "model.onnx"

SAFETENSORS_WEIGHTS_NAME = "diffusion_pytorch_model.safetensors"

ONNX_EXTERNAL_WEIGHTS_NAME = "weights.pb"

HUGGINGFACE_CO_RESOLVE_ENDPOINT = "https://huggingface.co"

DIFFUSERS_CACHE = default_cache_path

DIFFUSERS_DYNAMIC_MODULE_NAME = "diffusers_modules"

HF_MODULES_CACHE = os.getenv("HF_MODULES_CACHE", os.path.join(hf_cache_home, "modules"))

_COMPATIBLE_STABLE_DIFFUSION_SCHEDULERS = [

"DDIMScheduler",

"DDPMScheduler",

"PNDMScheduler",

"LMSDiscreteScheduler",

"EulerDiscreteScheduler",

"HeunDiscreteScheduler",

"EulerAncestralDiscreteScheduler",

"DPMSolverMultistepScheduler",

"DPMSolverSinglestepScheduler",

]

def check_min_version(min_version):

if version.parse(__version__) < version.parse(min_version):

if "dev" in min_version:

error_message = (

"This example requires a source install from HuggingFace diffusers (see "

"`https://huggingface.co/docs/diffusers/installation#install-from-source`),"

)

else:

error_message = f"This example requires a minimum version of {min_version},"

error_message += f" but the version found is {__version__}.\n"

raise ImportError(error_message)