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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.

import importlib

import os

from huggingface_hub.constants import HF_HOME

from packaging import version

from ..dependency_versions_check import dep_version_check

from .import_utils import ENV_VARS_TRUE_VALUES, is_peft_available, is_transformers_available

MIN_PEFT_VERSION = "0.6.0"

MIN_TRANSFORMERS_VERSION = "4.34.0"

_CHECK_PEFT = os.environ.get("_CHECK_PEFT", "1") in ENV_VARS_TRUE_VALUES

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"

SAFETENSORS_FILE_EXTENSION = "safetensors"

ONNX_EXTERNAL_WEIGHTS_NAME = "weights.pb"

HUGGINGFACE_CO_RESOLVE_ENDPOINT = os.environ.get("HF_ENDPOINT", "https://huggingface.co")

DIFFUSERS_DYNAMIC_MODULE_NAME = "diffusers_modules"

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

DEPRECATED_REVISION_ARGS = ["fp16", "non-ema"]

# Below should be `True` if the current version of `peft` and `transformers` are compatible with

# PEFT backend. Will automatically fall back to PEFT backend if the correct versions of the libraries are

# available.

# For PEFT it is has to be greater than or equal to 0.6.0 and for transformers it has to be greater than or equal to 4.34.0.

_required_peft_version = is_peft_available() and version.parse(

version.parse(importlib.metadata.version("peft")).base_version

) >= version.parse(MIN_PEFT_VERSION)

_required_transformers_version = is_transformers_available() and version.parse(

version.parse(importlib.metadata.version("transformers")).base_version

) >= version.parse(MIN_TRANSFORMERS_VERSION)

USE_PEFT_BACKEND = _required_peft_version and _required_transformers_version

if USE_PEFT_BACKEND and _CHECK_PEFT:

dep_version_check("peft")