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# Copyright 2025 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 = "0.17.0"

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"

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"

FLASHPACK_WEIGHTS_NAME = "model.flashpack"

FLASHPACK_FILE_EXTENSION = "flashpack"

GGUF_FILE_EXTENSION = "gguf"

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"]

DIFFUSERS_REQUEST_TIMEOUT = 60

DIFFUSERS_ATTN_BACKEND = os.getenv("DIFFUSERS_ATTN_BACKEND", "native")

DIFFUSERS_ATTN_CHECKS = os.getenv("DIFFUSERS_ATTN_CHECKS", "0").upper() in ENV_VARS_TRUE_VALUES

DEFAULT_HF_PARALLEL_LOADING_WORKERS = 8

HF_ENABLE_PARALLEL_LOADING = os.environ.get("HF_ENABLE_PARALLEL_LOADING", "").upper() in ENV_VARS_TRUE_VALUES

DIFFUSERS_DISABLE_REMOTE_CODE = os.getenv("DIFFUSERS_DISABLE_REMOTE_CODE", "false").upper() in ENV_VARS_TRUE_VALUES

DIFFUSERS_SDNQ_TRANSFORMERS = os.getenv("DIFFUSERS_SDNQ_TRANSFORMERS", "false").upper() in ENV_VARS_TRUE_VALUES

# Kernels published by untrusted publishers execute remote code, so a globally disabled remote code wins over the opt-in.

DIFFUSERS_TRUST_REMOTE_KERNELS = (

os.getenv("DIFFUSERS_TRUST_REMOTE_KERNELS", "false").upper() in ENV_VARS_TRUE_VALUES

and not DIFFUSERS_DISABLE_REMOTE_CODE

)

# 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 has to be at least `MIN_PEFT_VERSION` and for transformers at least `MIN_TRANSFORMERS_VERSION`.

_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")

DECODE_ENDPOINT_SD_V1 = "https://q1bj3bpq6kzilnsu.us-east-1.aws.endpoints.huggingface.cloud/"

DECODE_ENDPOINT_SD_XL = "https://x2dmsqunjd6k9prw.us-east-1.aws.endpoints.huggingface.cloud/"

DECODE_ENDPOINT_FLUX = "https://whhx50ex1aryqvw6.us-east-1.aws.endpoints.huggingface.cloud/"

DECODE_ENDPOINT_HUNYUAN_VIDEO = "https://o7ywnmrahorts457.us-east-1.aws.endpoints.huggingface.cloud/"

ENCODE_ENDPOINT_SD_V1 = "https://qc6479g0aac6qwy9.us-east-1.aws.endpoints.huggingface.cloud/"

ENCODE_ENDPOINT_SD_XL = "https://xjqqhmyn62rog84g.us-east-1.aws.endpoints.huggingface.cloud/"

ENCODE_ENDPOINT_FLUX = "https://ptccx55jz97f9zgo.us-east-1.aws.endpoints.huggingface.cloud/"

DIFFUSERS_LOAD_ID_FIELDS = [

"pretrained_model_name_or_path",

"subfolder",

"variant",

"revision",

]