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Unverified Commit 75ada250 authored by Lucain's avatar Lucain Committed by GitHub
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Harmonize HF environment variables + deprecate use_auth_token (#6066) 

* Harmonize HF environment variables + deprecate use_auth_token

* fix import

* fix
parent 2243a594
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Showing with 106 additions and 114 deletions
src/diffusers/pipelines/auto_pipeline.py
View file @ 75ada250
......@@ -16,8 +16,9 @@
import inspect
from collections import OrderedDict
from huggingface_hub.utils import validate_hf_hub_args
from ..configuration_utils import ConfigMixin
from ..utils import DIFFUSERS_CACHE
from .controlnet import (
StableDiffusionControlNetImg2ImgPipeline,
StableDiffusionControlNetInpaintPipeline,
......@@ -195,6 +196,7 @@ class AutoPipelineForText2Image(ConfigMixin):
)
@classmethod
@validate_hf_hub_args
def from_pretrained(cls, pretrained_model_or_path, **kwargs):
r"""
Instantiates a text-to-image Pytorch diffusion pipeline from pretrained pipeline weight.
......@@ -246,7 +248,7 @@ class AutoPipelineForText2Image(ConfigMixin):
local_files_only (`bool`, *optional*, defaults to `False`):
Whether to only load local model weights and configuration files or not. If set to `True`, the model
won't be downloaded from the Hub.
use_auth_token (`str` or *bool*, *optional*):
token (`str` or *bool*, *optional*):
The token to use as HTTP bearer authorization for remote files. If `True`, the token generated from
`diffusers-cli login` (stored in `~/.huggingface`) is used.
revision (`str`, *optional*, defaults to `"main"`):
......@@ -310,11 +312,11 @@ class AutoPipelineForText2Image(ConfigMixin):
>>> image = pipeline(prompt).images[0]
```
"""
cache_dir = kwargs.pop("cache_dir", DIFFUSERS_CACHE)
cache_dir = kwargs.pop("cache_dir", None)
force_download = kwargs.pop("force_download", False)
resume_download = kwargs.pop("resume_download", False)
proxies = kwargs.pop("proxies", None)
use_auth_token = kwargs.pop("use_auth_token", None)
token = kwargs.pop("token", None)
local_files_only = kwargs.pop("local_files_only", False)
revision = kwargs.pop("revision", None)
......@@ -323,7 +325,7 @@ class AutoPipelineForText2Image(ConfigMixin):
"force_download": force_download,
"resume_download": resume_download,
"proxies": proxies,
"use_auth_token": use_auth_token,
"token": token,
"local_files_only": local_files_only,
"revision": revision,
}
......@@ -466,6 +468,7 @@ class AutoPipelineForImage2Image(ConfigMixin):
)
@classmethod
@validate_hf_hub_args
def from_pretrained(cls, pretrained_model_or_path, **kwargs):
r"""
Instantiates a image-to-image Pytorch diffusion pipeline from pretrained pipeline weight.
......@@ -518,7 +521,7 @@ class AutoPipelineForImage2Image(ConfigMixin):
local_files_only (`bool`, *optional*, defaults to `False`):
Whether to only load local model weights and configuration files or not. If set to `True`, the model
won't be downloaded from the Hub.
use_auth_token (`str` or *bool*, *optional*):
token (`str` or *bool*, *optional*):
The token to use as HTTP bearer authorization for remote files. If `True`, the token generated from
`diffusers-cli login` (stored in `~/.huggingface`) is used.
revision (`str`, *optional*, defaults to `"main"`):
......@@ -582,11 +585,11 @@ class AutoPipelineForImage2Image(ConfigMixin):
>>> image = pipeline(prompt, image).images[0]
```
"""
cache_dir = kwargs.pop("cache_dir", DIFFUSERS_CACHE)
cache_dir = kwargs.pop("cache_dir", None)
force_download = kwargs.pop("force_download", False)
resume_download = kwargs.pop("resume_download", False)
proxies = kwargs.pop("proxies", None)
use_auth_token = kwargs.pop("use_auth_token", None)
token = kwargs.pop("token", None)
local_files_only = kwargs.pop("local_files_only", False)
revision = kwargs.pop("revision", None)
......@@ -595,7 +598,7 @@ class AutoPipelineForImage2Image(ConfigMixin):
"force_download": force_download,
"resume_download": resume_download,
"proxies": proxies,
"use_auth_token": use_auth_token,
"token": token,
"local_files_only": local_files_only,
"revision": revision,
}
......@@ -742,6 +745,7 @@ class AutoPipelineForInpainting(ConfigMixin):
)
@classmethod
@validate_hf_hub_args
def from_pretrained(cls, pretrained_model_or_path, **kwargs):
r"""
Instantiates a inpainting Pytorch diffusion pipeline from pretrained pipeline weight.
......@@ -793,7 +797,7 @@ class AutoPipelineForInpainting(ConfigMixin):
local_files_only (`bool`, *optional*, defaults to `False`):
Whether to only load local model weights and configuration files or not. If set to `True`, the model
won't be downloaded from the Hub.
use_auth_token (`str` or *bool*, *optional*):
token (`str` or *bool*, *optional*):
The token to use as HTTP bearer authorization for remote files. If `True`, the token generated from
`diffusers-cli login` (stored in `~/.huggingface`) is used.
revision (`str`, *optional*, defaults to `"main"`):
......@@ -857,11 +861,11 @@ class AutoPipelineForInpainting(ConfigMixin):
>>> image = pipeline(prompt, image=init_image, mask_image=mask_image).images[0]
```
"""
cache_dir = kwargs.pop("cache_dir", DIFFUSERS_CACHE)
cache_dir = kwargs.pop("cache_dir", None)
force_download = kwargs.pop("force_download", False)
resume_download = kwargs.pop("resume_download", False)
proxies = kwargs.pop("proxies", None)
use_auth_token = kwargs.pop("use_auth_token", None)
token = kwargs.pop("token", None)
local_files_only = kwargs.pop("local_files_only", False)
revision = kwargs.pop("revision", None)
......@@ -870,7 +874,7 @@ class AutoPipelineForInpainting(ConfigMixin):
"force_download": force_download,
"resume_download": resume_download,
"proxies": proxies,
"use_auth_token": use_auth_token,
"token": token,
"local_files_only": local_files_only,
"revision": revision,
}
......
src/diffusers/pipelines/onnx_utils.py
View file @ 75ada250
......@@ -22,6 +22,7 @@ from typing import Optional, Union
import numpy as np
from huggingface_hub import hf_hub_download
from huggingface_hub.utils import validate_hf_hub_args
from ..utils import ONNX_EXTERNAL_WEIGHTS_NAME, ONNX_WEIGHTS_NAME, is_onnx_available, logging
......@@ -130,10 +131,11 @@ class OnnxRuntimeModel:
self._save_pretrained(save_directory, **kwargs)
@classmethod
@validate_hf_hub_args
def _from_pretrained(
cls,
model_id: Union[str, Path],
use_auth_token: Optional[Union[bool, str, None]] = None,
token: Optional[Union[bool, str, None]] = None,
revision: Optional[Union[str, None]] = None,
force_download: bool = False,
cache_dir: Optional[str] = None,
......@@ -148,7 +150,7 @@ class OnnxRuntimeModel:
Arguments:
model_id (`str` or `Path`):
Directory from which to load
use_auth_token (`str` or `bool`):
token (`str` or `bool`):
Is needed to load models from a private or gated repository
revision (`str`):
Revision is the specific model version to use. It can be a branch name, a tag name, or a commit id
......@@ -179,7 +181,7 @@ class OnnxRuntimeModel:
model_cache_path = hf_hub_download(
repo_id=model_id,
filename=model_file_name,
use_auth_token=use_auth_token,
token=token,
revision=revision,
cache_dir=cache_dir,
force_download=force_download,
......@@ -190,11 +192,12 @@ class OnnxRuntimeModel:
return cls(model=model, **kwargs)
@classmethod
@validate_hf_hub_args
def from_pretrained(
cls,
model_id: Union[str, Path],
force_download: bool = True,
use_auth_token: Optional[str] = None,
token: Optional[str] = None,
cache_dir: Optional[str] = None,
**model_kwargs,
):
......@@ -207,6 +210,6 @@ class OnnxRuntimeModel:
revision=revision,
cache_dir=cache_dir,
force_download=force_download,
use_auth_token=use_auth_token,
token=token,
**model_kwargs,
)
src/diffusers/pipelines/pipeline_flax_utils.py
View file @ 75ada250
......@@ -24,6 +24,7 @@ import numpy as np
import PIL.Image
from flax.core.frozen_dict import FrozenDict
from huggingface_hub import create_repo, snapshot_download
from huggingface_hub.utils import validate_hf_hub_args
from PIL import Image
from tqdm.auto import tqdm
......@@ -32,7 +33,6 @@ from ..models.modeling_flax_utils import FLAX_WEIGHTS_NAME, FlaxModelMixin
from ..schedulers.scheduling_utils_flax import SCHEDULER_CONFIG_NAME, FlaxSchedulerMixin
from ..utils import (
CONFIG_NAME,
DIFFUSERS_CACHE,
BaseOutput,
PushToHubMixin,
http_user_agent,
......@@ -227,6 +227,7 @@ class FlaxDiffusionPipeline(ConfigMixin, PushToHubMixin):
)
@classmethod
@validate_hf_hub_args
def from_pretrained(cls, pretrained_model_name_or_path: Optional[Union[str, os.PathLike]], **kwargs):
r"""
Instantiate a Flax-based diffusion pipeline from pretrained pipeline weights.
......@@ -264,7 +265,7 @@ class FlaxDiffusionPipeline(ConfigMixin, PushToHubMixin):
local_files_only (`bool`, *optional*, defaults to `False`):
Whether to only load local model weights and configuration files or not. If set to `True`, the model
won't be downloaded from the Hub.
use_auth_token (`str` or *bool*, *optional*):
token (`str` or *bool*, *optional*):
The token to use as HTTP bearer authorization for remote files. If `True`, the token generated from
`diffusers-cli login` (stored in `~/.huggingface`) is used.
revision (`str`, *optional*, defaults to `"main"`):
......@@ -314,11 +315,11 @@ class FlaxDiffusionPipeline(ConfigMixin, PushToHubMixin):
>>> dpm_params["scheduler"] = dpmpp_state
```
"""
cache_dir = kwargs.pop("cache_dir", DIFFUSERS_CACHE)
cache_dir = kwargs.pop("cache_dir", None)
resume_download = kwargs.pop("resume_download", False)
proxies = kwargs.pop("proxies", None)
local_files_only = kwargs.pop("local_files_only", False)
use_auth_token = kwargs.pop("use_auth_token", None)
token = kwargs.pop("token", None)
revision = kwargs.pop("revision", None)
from_pt = kwargs.pop("from_pt", False)
use_memory_efficient_attention = kwargs.pop("use_memory_efficient_attention", False)
......@@ -334,7 +335,7 @@ class FlaxDiffusionPipeline(ConfigMixin, PushToHubMixin):
resume_download=resume_download,
proxies=proxies,
local_files_only=local_files_only,
use_auth_token=use_auth_token,
token=token,
revision=revision,
)
# make sure we only download sub-folders and `diffusers` filenames
......@@ -365,7 +366,7 @@ class FlaxDiffusionPipeline(ConfigMixin, PushToHubMixin):
resume_download=resume_download,
proxies=proxies,
local_files_only=local_files_only,
use_auth_token=use_auth_token,
token=token,
revision=revision,
allow_patterns=allow_patterns,
ignore_patterns=ignore_patterns,
......
src/diffusers/pipelines/pipeline_utils.py
View file @ 75ada250
......@@ -28,7 +28,14 @@ from typing import Any, Callable, Dict, List, Optional, Union
import numpy as np
import PIL.Image
import torch
from huggingface_hub import ModelCard, create_repo, hf_hub_download, model_info, snapshot_download
from huggingface_hub import (
ModelCard,
create_repo,
hf_hub_download,
model_info,
snapshot_download,
)
from huggingface_hub.utils import validate_hf_hub_args
from packaging import version
from requests.exceptions import HTTPError
from tqdm.auto import tqdm
......@@ -40,8 +47,6 @@ from ..schedulers.scheduling_utils import SCHEDULER_CONFIG_NAME
from ..utils import (
CONFIG_NAME,
DEPRECATED_REVISION_ARGS,
DIFFUSERS_CACHE,
HF_HUB_OFFLINE,
SAFETENSORS_WEIGHTS_NAME,
WEIGHTS_NAME,
BaseOutput,
......@@ -249,10 +254,11 @@ def variant_compatible_siblings(filenames, variant=None) -> Union[List[os.PathLi
return usable_filenames, variant_filenames
def warn_deprecated_model_variant(pretrained_model_name_or_path, use_auth_token, variant, revision, model_filenames):
@validate_hf_hub_args
def warn_deprecated_model_variant(pretrained_model_name_or_path, token, variant, revision, model_filenames):
info = model_info(
pretrained_model_name_or_path,
use_auth_token=use_auth_token,
token=token,
revision=None,
)
filenames = {sibling.rfilename for sibling in info.siblings}
......@@ -375,7 +381,6 @@ def _get_pipeline_class(
custom_pipeline,
module_file=file_name,
class_name=class_name,
repo_id=repo_id,
cache_dir=cache_dir,
revision=revision,
)
......@@ -909,6 +914,7 @@ class DiffusionPipeline(ConfigMixin, PushToHubMixin):
return torch.float32
@classmethod
@validate_hf_hub_args
def from_pretrained(cls, pretrained_model_name_or_path: Optional[Union[str, os.PathLike]], **kwargs):
r"""
Instantiate a PyTorch diffusion pipeline from pretrained pipeline weights.
......@@ -976,7 +982,7 @@ class DiffusionPipeline(ConfigMixin, PushToHubMixin):
local_files_only (`bool`, *optional*, defaults to `False`):
Whether to only load local model weights and configuration files or not. If set to `True`, the model
won't be downloaded from the Hub.
use_auth_token (`str` or *bool*, *optional*):
token (`str` or *bool*, *optional*):
The token to use as HTTP bearer authorization for remote files. If `True`, the token generated from
`diffusers-cli login` (stored in `~/.huggingface`) is used.
revision (`str`, *optional*, defaults to `"main"`):
......@@ -1056,12 +1062,12 @@ class DiffusionPipeline(ConfigMixin, PushToHubMixin):
>>> pipeline.scheduler = scheduler
```
"""
cache_dir = kwargs.pop("cache_dir", DIFFUSERS_CACHE)
cache_dir = kwargs.pop("cache_dir", None)
resume_download = kwargs.pop("resume_download", False)
force_download = kwargs.pop("force_download", False)
proxies = kwargs.pop("proxies", None)
local_files_only = kwargs.pop("local_files_only", HF_HUB_OFFLINE)
use_auth_token = kwargs.pop("use_auth_token", None)
local_files_only = kwargs.pop("local_files_only", None)
token = kwargs.pop("token", None)
revision = kwargs.pop("revision", None)
from_flax = kwargs.pop("from_flax", False)
torch_dtype = kwargs.pop("torch_dtype", None)
......@@ -1094,7 +1100,7 @@ class DiffusionPipeline(ConfigMixin, PushToHubMixin):
force_download=force_download,
proxies=proxies,
local_files_only=local_files_only,
use_auth_token=use_auth_token,
token=token,
revision=revision,
from_flax=from_flax,
use_safetensors=use_safetensors,
......@@ -1299,7 +1305,7 @@ class DiffusionPipeline(ConfigMixin, PushToHubMixin):
"force_download": force_download,
"proxies": proxies,
"local_files_only": local_files_only,
"use_auth_token": use_auth_token,
"token": token,
"revision": revision,
"torch_dtype": torch_dtype,
"custom_pipeline": custom_pipeline,
......@@ -1529,6 +1535,7 @@ class DiffusionPipeline(ConfigMixin, PushToHubMixin):
cpu_offload(model, device, offload_buffers=offload_buffers)
@classmethod
@validate_hf_hub_args
def download(cls, pretrained_model_name, **kwargs) -> Union[str, os.PathLike]:
r"""
Download and cache a PyTorch diffusion pipeline from pretrained pipeline weights.
......@@ -1576,7 +1583,7 @@ class DiffusionPipeline(ConfigMixin, PushToHubMixin):
local_files_only (`bool`, *optional*, defaults to `False`):
Whether to only load local model weights and configuration files or not. If set to `True`, the model
won't be downloaded from the Hub.
use_auth_token (`str` or *bool*, *optional*):
token (`str` or *bool*, *optional*):
The token to use as HTTP bearer authorization for remote files. If `True`, the token generated from
`diffusers-cli login` (stored in `~/.huggingface`) is used.
revision (`str`, *optional*, defaults to `"main"`):
......@@ -1619,12 +1626,12 @@ class DiffusionPipeline(ConfigMixin, PushToHubMixin):
</Tip>
"""
cache_dir = kwargs.pop("cache_dir", DIFFUSERS_CACHE)
cache_dir = kwargs.pop("cache_dir", None)
resume_download = kwargs.pop("resume_download", False)
force_download = kwargs.pop("force_download", False)
proxies = kwargs.pop("proxies", None)
local_files_only = kwargs.pop("local_files_only", HF_HUB_OFFLINE)
use_auth_token = kwargs.pop("use_auth_token", None)
local_files_only = kwargs.pop("local_files_only", None)
token = kwargs.pop("token", None)
revision = kwargs.pop("revision", None)
from_flax = kwargs.pop("from_flax", False)
custom_pipeline = kwargs.pop("custom_pipeline", None)
......@@ -1646,11 +1653,7 @@ class DiffusionPipeline(ConfigMixin, PushToHubMixin):
model_info_call_error: Optional[Exception] = None
if not local_files_only:
try:
info = model_info(
pretrained_model_name,
use_auth_token=use_auth_token,
revision=revision,
)
info = model_info(pretrained_model_name, token=token, revision=revision)
except HTTPError as e:
logger.warn(f"Couldn't connect to the Hub: {e}.\nWill try to load from local cache.")
local_files_only = True
......@@ -1665,7 +1668,7 @@ class DiffusionPipeline(ConfigMixin, PushToHubMixin):
proxies=proxies,
force_download=force_download,
resume_download=resume_download,
use_auth_token=use_auth_token,
token=token,
)
config_dict = cls._dict_from_json_file(config_file)
......@@ -1715,9 +1718,7 @@ class DiffusionPipeline(ConfigMixin, PushToHubMixin):
if revision in DEPRECATED_REVISION_ARGS and version.parse(
version.parse(__version__).base_version
) >= version.parse("0.22.0"):
warn_deprecated_model_variant(
pretrained_model_name, use_auth_token, variant, revision, model_filenames
)
warn_deprecated_model_variant(pretrained_model_name, token, variant, revision, model_filenames)
model_folder_names = {os.path.split(f)[0] for f in model_filenames if os.path.split(f)[0] in folder_names}
......@@ -1859,7 +1860,7 @@ class DiffusionPipeline(ConfigMixin, PushToHubMixin):
resume_download=resume_download,
proxies=proxies,
local_files_only=local_files_only,
use_auth_token=use_auth_token,
token=token,
revision=revision,
allow_patterns=allow_patterns,
ignore_patterns=ignore_patterns,
......@@ -1883,7 +1884,7 @@ class DiffusionPipeline(ConfigMixin, PushToHubMixin):
"force_download": force_download,
"proxies": proxies,
"local_files_only": local_files_only,
"use_auth_token": use_auth_token,
"token": token,
"variant": variant,
"use_safetensors": use_safetensors,
}
......
src/diffusers/schedulers/scheduling_utils.py
View file @ 75ada250
......@@ -18,6 +18,7 @@ from enum import Enum
from typing import Optional, Union
import torch
from huggingface_hub.utils import validate_hf_hub_args
from ..utils import BaseOutput, PushToHubMixin
......@@ -81,6 +82,7 @@ class SchedulerMixin(PushToHubMixin):
has_compatibles = True
@classmethod
@validate_hf_hub_args
def from_pretrained(
cls,
pretrained_model_name_or_path: Optional[Union[str, os.PathLike]] = None,
......@@ -120,7 +122,7 @@ class SchedulerMixin(PushToHubMixin):
local_files_only(`bool`, *optional*, defaults to `False`):
Whether to only load local model weights and configuration files or not. If set to `True`, the model
won't be downloaded from the Hub.
use_auth_token (`str` or *bool*, *optional*):
token (`str` or *bool*, *optional*):
The token to use as HTTP bearer authorization for remote files. If `True`, the token generated from
`diffusers-cli login` (stored in `~/.huggingface`) is used.
revision (`str`, *optional*, defaults to `"main"`):
......
src/diffusers/schedulers/scheduling_utils_flax.py
View file @ 75ada250
......@@ -20,6 +20,7 @@ from typing import Optional, Tuple, Union
import flax
import jax.numpy as jnp
from huggingface_hub.utils import validate_hf_hub_args
from ..utils import BaseOutput, PushToHubMixin
......@@ -70,6 +71,7 @@ class FlaxSchedulerMixin(PushToHubMixin):
has_compatibles = True
@classmethod
@validate_hf_hub_args
def from_pretrained(
cls,
pretrained_model_name_or_path: Optional[Union[str, os.PathLike]] = None,
......@@ -110,7 +112,7 @@ class FlaxSchedulerMixin(PushToHubMixin):
Whether or not to also return a dictionary containing missing keys, unexpected keys and error messages.
local_files_only(`bool`, *optional*, defaults to `False`):
Whether or not to only look at local files (i.e., do not try to download the model).
use_auth_token (`str` or *bool*, *optional*):
token (`str` or *bool*, *optional*):
The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
when running `transformers-cli login` (stored in `~/.huggingface`).
revision (`str`, *optional*, defaults to `"main"`):
......
src/diffusers/utils/__init__.py
View file @ 75ada250
......@@ -21,7 +21,6 @@ from .. import __version__
from .constants import (
CONFIG_NAME,
DEPRECATED_REVISION_ARGS,
DIFFUSERS_CACHE,
DIFFUSERS_DYNAMIC_MODULE_NAME,
FLAX_WEIGHTS_NAME,
HF_MODULES_CACHE,
......@@ -38,7 +37,6 @@ from .doc_utils import replace_example_docstring
from .dynamic_modules_utils import get_class_from_dynamic_module
from .export_utils import export_to_gif, export_to_obj, export_to_ply, export_to_video
from .hub_utils import (
HF_HUB_OFFLINE,
PushToHubMixin,
_add_variant,
_get_model_file,
......
src/diffusers/utils/constants.py
View file @ 75ada250
......@@ -14,15 +14,13 @@
import importlib
import os
from huggingface_hub.constants import HUGGINGFACE_HUB_CACHE, hf_cache_home
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
default_cache_path = HUGGINGFACE_HUB_CACHE
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
......@@ -35,9 +33,8 @@ ONNX_WEIGHTS_NAME = "model.onnx"
SAFETENSORS_WEIGHTS_NAME = "diffusion_pytorch_model.safetensors"
ONNX_EXTERNAL_WEIGHTS_NAME = "weights.pb"
HUGGINGFACE_CO_RESOLVE_ENDPOINT = os.environ.get("HF_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"))
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
......
src/diffusers/utils/dynamic_modules_utils.py
View file @ 75ada250
......@@ -25,7 +25,8 @@ from pathlib import Path
from typing import Dict, Optional, Union
from urllib import request
from huggingface_hub import HfFolder, cached_download, hf_hub_download, model_info
from huggingface_hub import cached_download, hf_hub_download, model_info
from huggingface_hub.utils import validate_hf_hub_args
from packaging import version
from .. import __version__
......@@ -194,6 +195,7 @@ def find_pipeline_class(loaded_module):
return pipeline_class
@validate_hf_hub_args
def get_cached_module_file(
pretrained_model_name_or_path: Union[str, os.PathLike],
module_file: str,
......@@ -201,7 +203,7 @@ def get_cached_module_file(
force_download: bool = False,
resume_download: bool = False,
proxies: Optional[Dict[str, str]] = None,
use_auth_token: Optional[Union[bool, str]] = None,
token: Optional[Union[bool, str]] = None,
revision: Optional[str] = None,
local_files_only: bool = False,
):
......@@ -232,7 +234,7 @@ def get_cached_module_file(
proxies (`Dict[str, str]`, *optional*):
A dictionary of proxy servers to use by protocol or endpoint, e.g., `{'http': 'foo.bar:3128',
'http://hostname': 'foo.bar:4012'}.` The proxies are used on each request.
use_auth_token (`str` or *bool*, *optional*):
token (`str` or *bool*, *optional*):
The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
when running `transformers-cli login` (stored in `~/.huggingface`).
revision (`str`, *optional*, defaults to `"main"`):
......@@ -244,7 +246,7 @@ def get_cached_module_file(
<Tip>
You may pass a token in `use_auth_token` if you are not logged in (`huggingface-cli long`) and want to use private
You may pass a token in `token` if you are not logged in (`huggingface-cli login`) and want to use private
or [gated models](https://huggingface.co/docs/hub/models-gated#gated-models).
</Tip>
......@@ -289,7 +291,7 @@ def get_cached_module_file(
proxies=proxies,
resume_download=resume_download,
local_files_only=local_files_only,
use_auth_token=False,
token=False,
)
submodule = "git"
module_file = pretrained_model_name_or_path + ".py"
......@@ -307,7 +309,7 @@ def get_cached_module_file(
proxies=proxies,
resume_download=resume_download,
local_files_only=local_files_only,
use_auth_token=use_auth_token,
token=token,
)
submodule = os.path.join("local", "--".join(pretrained_model_name_or_path.split("/")))
except EnvironmentError:
......@@ -332,13 +334,6 @@ def get_cached_module_file(
else:
# Get the commit hash
# TODO: we will get this info in the etag soon, so retrieve it from there and not here.
if isinstance(use_auth_token, str):
token = use_auth_token
elif use_auth_token is True:
token = HfFolder.get_token()
else:
token = None
commit_hash = model_info(pretrained_model_name_or_path, revision=revision, token=token).sha
# The module file will end up being placed in a subfolder with the git hash of the repo. This way we get the
......@@ -359,13 +354,14 @@ def get_cached_module_file(
force_download=force_download,
resume_download=resume_download,
proxies=proxies,
use_auth_token=use_auth_token,
token=token,
revision=revision,
local_files_only=local_files_only,
)
return os.path.join(full_submodule, module_file)
@validate_hf_hub_args
def get_class_from_dynamic_module(
pretrained_model_name_or_path: Union[str, os.PathLike],
module_file: str,
......@@ -374,7 +370,7 @@ def get_class_from_dynamic_module(
force_download: bool = False,
resume_download: bool = False,
proxies: Optional[Dict[str, str]] = None,
use_auth_token: Optional[Union[bool, str]] = None,
token: Optional[Union[bool, str]] = None,
revision: Optional[str] = None,
local_files_only: bool = False,
**kwargs,
......@@ -414,7 +410,7 @@ def get_class_from_dynamic_module(
proxies (`Dict[str, str]`, *optional*):
A dictionary of proxy servers to use by protocol or endpoint, e.g., `{'http': 'foo.bar:3128',
'http://hostname': 'foo.bar:4012'}.` The proxies are used on each request.
use_auth_token (`str` or `bool`, *optional*):
token (`str` or `bool`, *optional*):
The token to use as HTTP bearer authorization for remote files. If `True`, will use the token generated
when running `transformers-cli login` (stored in `~/.huggingface`).
revision (`str`, *optional*, defaults to `"main"`):
......@@ -426,7 +422,7 @@ def get_class_from_dynamic_module(
<Tip>
You may pass a token in `use_auth_token` if you are not logged in (`huggingface-cli long`) and want to use private
You may pass a token in `token` if you are not logged in (`huggingface-cli login`) and want to use private
or [gated models](https://huggingface.co/docs/hub/models-gated#gated-models).
</Tip>
......@@ -449,7 +445,7 @@ def get_class_from_dynamic_module(
force_download=force_download,
resume_download=resume_download,
proxies=proxies,
use_auth_token=use_auth_token,
token=token,
revision=revision,
local_files_only=local_files_only,
)
......
src/diffusers/utils/hub_utils.py
View file @ 75ada250
......@@ -25,20 +25,21 @@ from typing import Dict, Optional, Union
from uuid import uuid4
from huggingface_hub import (
HfFolder,
ModelCard,
ModelCardData,
create_repo,
get_full_repo_name,
hf_hub_download,
upload_folder,
whoami,
)
from huggingface_hub.constants import HF_HUB_CACHE, HF_HUB_DISABLE_TELEMETRY, HF_HUB_OFFLINE
from huggingface_hub.file_download import REGEX_COMMIT_HASH
from huggingface_hub.utils import (
EntryNotFoundError,
RepositoryNotFoundError,
RevisionNotFoundError,
is_jinja_available,
validate_hf_hub_args,
)
from packaging import version
from requests import HTTPError
......@@ -46,7 +47,6 @@ from requests import HTTPError
from .. import __version__
from .constants import (
DEPRECATED_REVISION_ARGS,
DIFFUSERS_CACHE,
HUGGINGFACE_CO_RESOLVE_ENDPOINT,
SAFETENSORS_WEIGHTS_NAME,
WEIGHTS_NAME,
......@@ -69,9 +69,6 @@ logger = get_logger(__name__)
MODEL_CARD_TEMPLATE_PATH = Path(__file__).parent / "model_card_template.md"
SESSION_ID = uuid4().hex
HF_HUB_OFFLINE = os.getenv("HF_HUB_OFFLINE", "").upper() in ENV_VARS_TRUE_VALUES
DISABLE_TELEMETRY = os.getenv("DISABLE_TELEMETRY", "").upper() in ENV_VARS_TRUE_VALUES
HUGGINGFACE_CO_TELEMETRY = HUGGINGFACE_CO_RESOLVE_ENDPOINT + "/api/telemetry/"
def http_user_agent(user_agent: Union[Dict, str, None] = None) -> str:
......@@ -79,7 +76,7 @@ def http_user_agent(user_agent: Union[Dict, str, None] = None) -> str:
Formats a user-agent string with basic info about a request.
"""
ua = f"diffusers/{__version__}; python/{sys.version.split()[0]}; session_id/{SESSION_ID}"
if DISABLE_TELEMETRY or HF_HUB_OFFLINE:
if HF_HUB_DISABLE_TELEMETRY or HF_HUB_OFFLINE:
return ua + "; telemetry/off"
if is_torch_available():
ua += f"; torch/{_torch_version}"
......@@ -98,16 +95,6 @@ def http_user_agent(user_agent: Union[Dict, str, None] = None) -> str:
return ua
def get_full_repo_name(model_id: str, organization: Optional[str] = None, token: Optional[str] = None):
if token is None:
token = HfFolder.get_token()
if organization is None:
username = whoami(token)["name"]
return f"{username}/{model_id}"
else:
return f"{organization}/{model_id}"
def create_model_card(args, model_name):
if not is_jinja_available():
raise ValueError(
......@@ -183,7 +170,7 @@ old_diffusers_cache = os.path.join(hf_cache_home, "diffusers")
def move_cache(old_cache_dir: Optional[str] = None, new_cache_dir: Optional[str] = None) -> None:
if new_cache_dir is None:
new_cache_dir = DIFFUSERS_CACHE
new_cache_dir = HF_HUB_CACHE
if old_cache_dir is None:
old_cache_dir = old_diffusers_cache
......@@ -203,7 +190,7 @@ def move_cache(old_cache_dir: Optional[str] = None, new_cache_dir: Optional[str]
# At this point, old_cache_dir contains symlinks to the new cache (it can still be used).
cache_version_file = os.path.join(DIFFUSERS_CACHE, "version_diffusers_cache.txt")
cache_version_file = os.path.join(HF_HUB_CACHE, "version_diffusers_cache.txt")
if not os.path.isfile(cache_version_file):
cache_version = 0
else:
......@@ -233,12 +220,12 @@ if cache_version < 1:
if cache_version < 1:
try:
os.makedirs(DIFFUSERS_CACHE, exist_ok=True)
os.makedirs(HF_HUB_CACHE, exist_ok=True)
with open(cache_version_file, "w") as f:
f.write("1")
except Exception:
logger.warning(
f"There was a problem when trying to write in your cache folder ({DIFFUSERS_CACHE}). Please, ensure "
f"There was a problem when trying to write in your cache folder ({HF_HUB_CACHE}). Please, ensure "
"the directory exists and can be written to."
)
......@@ -252,20 +239,21 @@ def _add_variant(weights_name: str, variant: Optional[str] = None) -> str:
return weights_name
@validate_hf_hub_args
def _get_model_file(
pretrained_model_name_or_path,
pretrained_model_name_or_path: Union[str, Path],
*,
weights_name,
subfolder,
cache_dir,
force_download,
proxies,
resume_download,
local_files_only,
use_auth_token,
user_agent,
revision,
commit_hash=None,
weights_name: str,
subfolder: Optional[str],
cache_dir: Optional[str],
force_download: bool,
proxies: Optional[Dict],
resume_download: bool,
local_files_only: bool,
token: Optional[str],
user_agent: Union[Dict, str, None],
revision: Optional[str],
commit_hash: Optional[str] = None,
):
pretrained_model_name_or_path = str(pretrained_model_name_or_path)
if os.path.isfile(pretrained_model_name_or_path):
......@@ -300,7 +288,7 @@ def _get_model_file(
proxies=proxies,
resume_download=resume_download,
local_files_only=local_files_only,
use_auth_token=use_auth_token,
token=token,
user_agent=user_agent,
subfolder=subfolder,
revision=revision or commit_hash,
......@@ -325,7 +313,7 @@ def _get_model_file(
proxies=proxies,
resume_download=resume_download,
local_files_only=local_files_only,
use_auth_token=use_auth_token,
token=token,
user_agent=user_agent,
subfolder=subfolder,
revision=revision or commit_hash,
......@@ -336,7 +324,7 @@ def _get_model_file(
raise EnvironmentError(
f"{pretrained_model_name_or_path} is not a local folder and is not a valid model identifier "
"listed on 'https://huggingface.co/models'\nIf this is a private repository, make sure to pass a "
"token having permission to this repo with `use_auth_token` or log in with `huggingface-cli "
"token having permission to this repo with `token` or log in with `huggingface-cli "
"login`."
)
except RevisionNotFoundError:
......
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