text_outputs_single_file/test_stable_diffusion_xl_instruct_pix2pix_output.txt

============================= test session starts ==============================
platform linux -- Python 3.8.10, pytest-8.2.0, pluggy-1.5.0
rootdir: /diffusers
configfile: pyproject.toml
plugins: xdist-3.6.1, timeout-2.3.1, requests-mock-1.10.0
collected 1 item

tests/single_file/test_stable_diffusion_xl_instruct_pix2pix.py F         [100%]

=================================== FAILURES ===================================
_ StableDiffusionXLInstructPix2PixPipeline.test_single_file_setting_cosxl_edit _

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()

/opt/venv/lib/python3.8/site-packages/huggingface_hub/utils/_errors.py:304: 
_ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ _ 

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}"
            )
    
        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

/opt/venv/lib/python3.8/site-packages/requests/models.py:1021: HTTPError

The above exception was the direct cause of the following exception:

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,
                )

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 ==============================