Spaces:
Runtime error
Runtime error
| # 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") | |