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============================= test session starts ============================== |
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platform linux -- Python 3.8.10, pytest-8.2.0, pluggy-1.5.0 |
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rootdir: /diffusers |
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configfile: pyproject.toml |
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plugins: xdist-3.6.1, timeout-2.3.1, requests-mock-1.10.0 |
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collected 1 item |
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tests/single_file/test_stable_diffusion_xl_instruct_pix2pix.py F [100%] |
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|
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=================================== FAILURES =================================== |
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_ StableDiffusionXLInstructPix2PixPipeline.test_single_file_setting_cosxl_edit _ |
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|
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response = <Response [401]>, endpoint_name = None |
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|
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def hf_raise_for_status(response: Response, endpoint_name: Optional[str] = None) -> None: |
|
""" |
|
Internal version of `response.raise_for_status()` that will refine a |
|
potential HTTPError. Raised exception will be an instance of `HfHubHTTPError`. |
|
|
|
This helper is meant to be the unique method to raise_for_status when making a call |
|
to the Hugging Face Hub. |
|
|
|
Example: |
|
```py |
|
import requests |
|
from huggingface_hub.utils import get_session, hf_raise_for_status, HfHubHTTPError |
|
|
|
response = get_session().post(...) |
|
try: |
|
hf_raise_for_status(response) |
|
except HfHubHTTPError as e: |
|
print(str(e)) # formatted message |
|
e.request_id, e.server_message # details returned by server |
|
|
|
# Complete the error message with additional information once it's raised |
|
e.append_to_message("\n`create_commit` expects the repository to exist.") |
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raise |
|
``` |
|
|
|
Args: |
|
response (`Response`): |
|
Response from the server. |
|
endpoint_name (`str`, *optional*): |
|
Name of the endpoint that has been called. If provided, the error message |
|
will be more complete. |
|
|
|
<Tip warning={true}> |
|
|
|
Raises when the request has failed: |
|
|
|
- [`~utils.RepositoryNotFoundError`] |
|
If the repository to download from cannot be found. This may be because it |
|
doesn't exist, because `repo_type` is not set correctly, or because the repo |
|
is `private` and you do not have access. |
|
- [`~utils.GatedRepoError`] |
|
If the repository exists but is gated and the user is not on the authorized |
|
list. |
|
- [`~utils.RevisionNotFoundError`] |
|
If the repository exists but the revision couldn't be find. |
|
- [`~utils.EntryNotFoundError`] |
|
If the repository exists but the entry (e.g. the requested file) couldn't be |
|
find. |
|
- [`~utils.BadRequestError`] |
|
If request failed with a HTTP 400 BadRequest error. |
|
- [`~utils.HfHubHTTPError`] |
|
If request failed for a reason not listed above. |
|
|
|
</Tip> |
|
""" |
|
try: |
|
> response.raise_for_status() |
|
|
|
/opt/venv/lib/python3.8/site-packages/huggingface_hub/utils/_errors.py:304: |
|
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ |
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|
|
self = <Response [401]> |
|
|
|
def raise_for_status(self): |
|
"""Raises :class:`HTTPError`, if one occurred.""" |
|
|
|
http_error_msg = "" |
|
if isinstance(self.reason, bytes): |
|
# We attempt to decode utf-8 first because some servers |
|
# choose to localize their reason strings. If the string |
|
# isn't utf-8, we fall back to iso-8859-1 for all other |
|
# encodings. (See PR #3538) |
|
try: |
|
reason = self.reason.decode("utf-8") |
|
except UnicodeDecodeError: |
|
reason = self.reason.decode("iso-8859-1") |
|
else: |
|
reason = self.reason |
|
|
|
if 400 <= self.status_code < 500: |
|
http_error_msg = ( |
|
f"{self.status_code} Client Error: {reason} for url: {self.url}" |
|
) |
|
|
|
elif 500 <= self.status_code < 600: |
|
http_error_msg = ( |
|
f"{self.status_code} Server Error: {reason} for url: {self.url}" |
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) |
|
|
|
if http_error_msg: |
|
> raise HTTPError(http_error_msg, response=self) |
|
E requests.exceptions.HTTPError: 401 Client Error: Unauthorized for url: https://huggingface.co/stabilityai/cosxl/resolve/main/cosxl_edit.safetensors |
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/opt/venv/lib/python3.8/site-packages/requests/models.py:1021: HTTPError |
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|
|
The above exception was the direct cause of the following exception: |
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|
|
pretrained_model_name_or_path = 'stabilityai/cosxl' |
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|
|
@validate_hf_hub_args |
|
def _get_model_file( |
|
pretrained_model_name_or_path: Union[str, Path], |
|
*, |
|
weights_name: str, |
|
subfolder: Optional[str] = None, |
|
cache_dir: Optional[str] = None, |
|
force_download: bool = False, |
|
proxies: Optional[Dict] = None, |
|
resume_download: bool = False, |
|
local_files_only: bool = False, |
|
token: Optional[str] = None, |
|
user_agent: Optional[Union[Dict, str]] = None, |
|
revision: Optional[str] = None, |
|
commit_hash: Optional[str] = None, |
|
local_dir: Optional[str] = None, |
|
local_dir_use_symlinks: Optional[str] = "auto", |
|
): |
|
pretrained_model_name_or_path = str(pretrained_model_name_or_path) |
|
if os.path.isfile(pretrained_model_name_or_path): |
|
return pretrained_model_name_or_path |
|
elif os.path.isdir(pretrained_model_name_or_path): |
|
if os.path.isfile(os.path.join(pretrained_model_name_or_path, weights_name)): |
|
# Load from a PyTorch checkpoint |
|
model_file = os.path.join(pretrained_model_name_or_path, weights_name) |
|
return model_file |
|
elif subfolder is not None and os.path.isfile( |
|
os.path.join(pretrained_model_name_or_path, subfolder, weights_name) |
|
): |
|
model_file = os.path.join(pretrained_model_name_or_path, subfolder, weights_name) |
|
return model_file |
|
else: |
|
raise EnvironmentError( |
|
f"Error no file named {weights_name} found in directory {pretrained_model_name_or_path}." |
|
) |
|
else: |
|
# 1. First check if deprecated way of loading from branches is used |
|
if ( |
|
revision in DEPRECATED_REVISION_ARGS |
|
and (weights_name == WEIGHTS_NAME or weights_name == SAFETENSORS_WEIGHTS_NAME) |
|
and version.parse(version.parse(__version__).base_version) >= version.parse("0.22.0") |
|
): |
|
try: |
|
model_file = hf_hub_download( |
|
pretrained_model_name_or_path, |
|
filename=_add_variant(weights_name, revision), |
|
cache_dir=cache_dir, |
|
force_download=force_download, |
|
proxies=proxies, |
|
resume_download=resume_download, |
|
local_files_only=local_files_only, |
|
token=token, |
|
user_agent=user_agent, |
|
subfolder=subfolder, |
|
revision=revision or commit_hash, |
|
local_dir=local_dir, |
|
local_dir_use_symlinks=local_dir_use_symlinks, |
|
) |
|
warnings.warn( |
|
f"Loading the variant {revision} from {pretrained_model_name_or_path} via `revision='{revision}'` is deprecated. Loading instead from `revision='main'` with `variant={revision}`. Loading model variants via `revision='{revision}'` will be removed in diffusers v1. Please use `variant='{revision}'` instead.", |
|
FutureWarning, |
|
) |
|
return model_file |
|
except: # noqa: E722 |
|
warnings.warn( |
|
f"You are loading the variant {revision} from {pretrained_model_name_or_path} via `revision='{revision}'`. This behavior is deprecated and will be removed in diffusers v1. One should use `variant='{revision}'` instead. However, it appears that {pretrained_model_name_or_path} currently does not have a {_add_variant(weights_name, revision)} file in the 'main' branch of {pretrained_model_name_or_path}. \n The Diffusers team and community would be very grateful if you could open an issue: https://github.com/huggingface/diffusers/issues/new with the title '{pretrained_model_name_or_path} is missing {_add_variant(weights_name, revision)}' so that the correct variant file can be added.", |
|
FutureWarning, |
|
) |
|
try: |
|
# 2. Load model file as usual |
|
> model_file = hf_hub_download( |
|
pretrained_model_name_or_path, |
|
filename=weights_name, |
|
cache_dir=cache_dir, |
|
force_download=force_download, |
|
proxies=proxies, |
|
resume_download=resume_download, |
|
local_files_only=local_files_only, |
|
token=token, |
|
user_agent=user_agent, |
|
subfolder=subfolder, |
|
revision=revision or commit_hash, |
|
local_dir=local_dir, |
|
local_dir_use_symlinks=local_dir_use_symlinks, |
|
) |
|
|
|
src/diffusers/utils/hub_utils.py:347: |
|
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ |
|
/opt/venv/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py:119: in _inner_fn |
|
return fn(*args, **kwargs) |
|
/opt/venv/lib/python3.8/site-packages/huggingface_hub/file_download.py:1403: in hf_hub_download |
|
raise head_call_error |
|
/opt/venv/lib/python3.8/site-packages/huggingface_hub/file_download.py:1261: in hf_hub_download |
|
metadata = get_hf_file_metadata( |
|
/opt/venv/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py:119: in _inner_fn |
|
return fn(*args, **kwargs) |
|
/opt/venv/lib/python3.8/site-packages/huggingface_hub/file_download.py:1674: in get_hf_file_metadata |
|
r = _request_wrapper( |
|
/opt/venv/lib/python3.8/site-packages/huggingface_hub/file_download.py:369: in _request_wrapper |
|
response = _request_wrapper( |
|
/opt/venv/lib/python3.8/site-packages/huggingface_hub/file_download.py:393: in _request_wrapper |
|
hf_raise_for_status(response) |
|
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ |
|
|
|
response = <Response [401]>, endpoint_name = None |
|
|
|
def hf_raise_for_status(response: Response, endpoint_name: Optional[str] = None) -> None: |
|
""" |
|
Internal version of `response.raise_for_status()` that will refine a |
|
potential HTTPError. Raised exception will be an instance of `HfHubHTTPError`. |
|
|
|
This helper is meant to be the unique method to raise_for_status when making a call |
|
to the Hugging Face Hub. |
|
|
|
Example: |
|
```py |
|
import requests |
|
from huggingface_hub.utils import get_session, hf_raise_for_status, HfHubHTTPError |
|
|
|
response = get_session().post(...) |
|
try: |
|
hf_raise_for_status(response) |
|
except HfHubHTTPError as e: |
|
print(str(e)) # formatted message |
|
e.request_id, e.server_message # details returned by server |
|
|
|
# Complete the error message with additional information once it's raised |
|
e.append_to_message("\n`create_commit` expects the repository to exist.") |
|
raise |
|
``` |
|
|
|
Args: |
|
response (`Response`): |
|
Response from the server. |
|
endpoint_name (`str`, *optional*): |
|
Name of the endpoint that has been called. If provided, the error message |
|
will be more complete. |
|
|
|
<Tip warning={true}> |
|
|
|
Raises when the request has failed: |
|
|
|
- [`~utils.RepositoryNotFoundError`] |
|
If the repository to download from cannot be found. This may be because it |
|
doesn't exist, because `repo_type` is not set correctly, or because the repo |
|
is `private` and you do not have access. |
|
- [`~utils.GatedRepoError`] |
|
If the repository exists but is gated and the user is not on the authorized |
|
list. |
|
- [`~utils.RevisionNotFoundError`] |
|
If the repository exists but the revision couldn't be find. |
|
- [`~utils.EntryNotFoundError`] |
|
If the repository exists but the entry (e.g. the requested file) couldn't be |
|
find. |
|
- [`~utils.BadRequestError`] |
|
If request failed with a HTTP 400 BadRequest error. |
|
- [`~utils.HfHubHTTPError`] |
|
If request failed for a reason not listed above. |
|
|
|
</Tip> |
|
""" |
|
try: |
|
response.raise_for_status() |
|
except HTTPError as e: |
|
error_code = response.headers.get("X-Error-Code") |
|
error_message = response.headers.get("X-Error-Message") |
|
|
|
if error_code == "RevisionNotFound": |
|
message = f"{response.status_code} Client Error." + "\n\n" + f"Revision Not Found for url: {response.url}." |
|
raise RevisionNotFoundError(message, response) from e |
|
|
|
elif error_code == "EntryNotFound": |
|
message = f"{response.status_code} Client Error." + "\n\n" + f"Entry Not Found for url: {response.url}." |
|
raise EntryNotFoundError(message, response) from e |
|
|
|
elif error_code == "GatedRepo": |
|
message = ( |
|
f"{response.status_code} Client Error." + "\n\n" + f"Cannot access gated repo for url {response.url}." |
|
) |
|
> raise GatedRepoError(message, response) from e |
|
E huggingface_hub.utils._errors.GatedRepoError: 401 Client Error. (Request ID: Root=1-6632f450-0c41a9502036e0320ec1517e;011ed4b7-adfa-4b7c-b58e-3f6e8a4eb44c) |
|
E |
|
E Cannot access gated repo for url https://huggingface.co/stabilityai/cosxl/resolve/main/cosxl_edit.safetensors. |
|
E Access to model stabilityai/cosxl is restricted. You must be authenticated to access it. |
|
|
|
/opt/venv/lib/python3.8/site-packages/huggingface_hub/utils/_errors.py:321: GatedRepoError |
|
|
|
During handling of the above exception, another exception occurred: |
|
|
|
self = <tests.single_file.test_stable_diffusion_xl_instruct_pix2pix.StableDiffusionXLInstructPix2PixPipeline testMethod=test_single_file_setting_cosxl_edit> |
|
|
|
def test_single_file_setting_cosxl_edit(self): |
|
# Default is PNDM for this checkpoint |
|
> pipe = self.pipeline_class.from_single_file(self.ckpt_path, config=self.repo_id, is_cosxl_edit=True) |
|
|
|
tests/single_file/test_stable_diffusion_xl_instruct_pix2pix.py:49: |
|
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ |
|
/opt/venv/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py:119: in _inner_fn |
|
return fn(*args, **kwargs) |
|
src/diffusers/loaders/single_file.py:386: in from_single_file |
|
checkpoint = load_single_file_checkpoint( |
|
src/diffusers/loaders/single_file_utils.py:308: in load_single_file_checkpoint |
|
pretrained_model_link_or_path = _get_model_file( |
|
/opt/venv/lib/python3.8/site-packages/huggingface_hub/utils/_validators.py:119: in _inner_fn |
|
return fn(*args, **kwargs) |
|
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ |
|
|
|
pretrained_model_name_or_path = 'stabilityai/cosxl' |
|
|
|
@validate_hf_hub_args |
|
def _get_model_file( |
|
pretrained_model_name_or_path: Union[str, Path], |
|
*, |
|
weights_name: str, |
|
subfolder: Optional[str] = None, |
|
cache_dir: Optional[str] = None, |
|
force_download: bool = False, |
|
proxies: Optional[Dict] = None, |
|
resume_download: bool = False, |
|
local_files_only: bool = False, |
|
token: Optional[str] = None, |
|
user_agent: Optional[Union[Dict, str]] = None, |
|
revision: Optional[str] = None, |
|
commit_hash: Optional[str] = None, |
|
local_dir: Optional[str] = None, |
|
local_dir_use_symlinks: Optional[str] = "auto", |
|
): |
|
pretrained_model_name_or_path = str(pretrained_model_name_or_path) |
|
if os.path.isfile(pretrained_model_name_or_path): |
|
return pretrained_model_name_or_path |
|
elif os.path.isdir(pretrained_model_name_or_path): |
|
if os.path.isfile(os.path.join(pretrained_model_name_or_path, weights_name)): |
|
# Load from a PyTorch checkpoint |
|
model_file = os.path.join(pretrained_model_name_or_path, weights_name) |
|
return model_file |
|
elif subfolder is not None and os.path.isfile( |
|
os.path.join(pretrained_model_name_or_path, subfolder, weights_name) |
|
): |
|
model_file = os.path.join(pretrained_model_name_or_path, subfolder, weights_name) |
|
return model_file |
|
else: |
|
raise EnvironmentError( |
|
f"Error no file named {weights_name} found in directory {pretrained_model_name_or_path}." |
|
) |
|
else: |
|
# 1. First check if deprecated way of loading from branches is used |
|
if ( |
|
revision in DEPRECATED_REVISION_ARGS |
|
and (weights_name == WEIGHTS_NAME or weights_name == SAFETENSORS_WEIGHTS_NAME) |
|
and version.parse(version.parse(__version__).base_version) >= version.parse("0.22.0") |
|
): |
|
try: |
|
model_file = hf_hub_download( |
|
pretrained_model_name_or_path, |
|
filename=_add_variant(weights_name, revision), |
|
cache_dir=cache_dir, |
|
force_download=force_download, |
|
proxies=proxies, |
|
resume_download=resume_download, |
|
local_files_only=local_files_only, |
|
token=token, |
|
user_agent=user_agent, |
|
subfolder=subfolder, |
|
revision=revision or commit_hash, |
|
local_dir=local_dir, |
|
local_dir_use_symlinks=local_dir_use_symlinks, |
|
) |
|
warnings.warn( |
|
f"Loading the variant {revision} from {pretrained_model_name_or_path} via `revision='{revision}'` is deprecated. Loading instead from `revision='main'` with `variant={revision}`. Loading model variants via `revision='{revision}'` will be removed in diffusers v1. Please use `variant='{revision}'` instead.", |
|
FutureWarning, |
|
) |
|
return model_file |
|
except: # noqa: E722 |
|
warnings.warn( |
|
f"You are loading the variant {revision} from {pretrained_model_name_or_path} via `revision='{revision}'`. This behavior is deprecated and will be removed in diffusers v1. One should use `variant='{revision}'` instead. However, it appears that {pretrained_model_name_or_path} currently does not have a {_add_variant(weights_name, revision)} file in the 'main' branch of {pretrained_model_name_or_path}. \n The Diffusers team and community would be very grateful if you could open an issue: https://github.com/huggingface/diffusers/issues/new with the title '{pretrained_model_name_or_path} is missing {_add_variant(weights_name, revision)}' so that the correct variant file can be added.", |
|
FutureWarning, |
|
) |
|
try: |
|
# 2. Load model file as usual |
|
model_file = hf_hub_download( |
|
pretrained_model_name_or_path, |
|
filename=weights_name, |
|
cache_dir=cache_dir, |
|
force_download=force_download, |
|
proxies=proxies, |
|
resume_download=resume_download, |
|
local_files_only=local_files_only, |
|
token=token, |
|
user_agent=user_agent, |
|
subfolder=subfolder, |
|
revision=revision or commit_hash, |
|
local_dir=local_dir, |
|
local_dir_use_symlinks=local_dir_use_symlinks, |
|
) |
|
return model_file |
|
|
|
except RepositoryNotFoundError: |
|
> 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 `token` or log in with `huggingface-cli " |
|
"login`." |
|
) |
|
E OSError: stabilityai/cosxl is not a local folder and is not a valid model identifier listed on 'https://huggingface.co/models' |
|
E If this is a private repository, make sure to pass a token having permission to this repo with `token` or log in with `huggingface-cli login`. |
|
|
|
src/diffusers/utils/hub_utils.py:365: OSError |
|
=========================== short test summary info ============================ |
|
FAILED tests/single_file/test_stable_diffusion_xl_instruct_pix2pix.py::StableDiffusionXLInstructPix2PixPipeline::test_single_file_setting_cosxl_edit |
|
============================== 1 failed in 16.23s ============================== |
|
|