# 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" WEIGHTS_INDEX_NAME = "diffusion_pytorch_model.bin.index.json" FLAX_WEIGHTS_NAME = "diffusion_flax_model.msgpack" ONNX_WEIGHTS_NAME = "model.onnx" SAFETENSORS_WEIGHTS_NAME = "diffusion_pytorch_model.safetensors" SAFE_WEIGHTS_INDEX_NAME = "diffusion_pytorch_model.safetensors.index.json" 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")