# to support explicit proxy for OpenAI
    openai_proxy: Optional[str] = None
    request_timeout: Union[float, Tuple[float, float], Any, None] = Field(
        default=None, alias="timeout"
    )
    n: int = 1
    """Number of images to generate"""
    size: str = "1024x1024"
    """Size of image to generate"""
    separator: str = "\n"
    """Separator to use when multiple URLs are returned."""
    quality: Optional[str] = "standard"
    """Quality of the image that will be generated"""
    max_retries: int = 2
    """Maximum number of retries to make when generating."""
    default_headers: Union[Mapping[str, str], None] = None
    default_query: Union[Mapping[str, object], None] = None
    # Configure a custom httpx client. See the
    # [httpx documentation](https://www.python-httpx.org/api/#client) for more details.
    http_client: Union[Any, None] = None
    """Optional httpx.Client."""
    class Config:
        """Configuration for this pydantic object."""
        extra = Extra.forbid
    @root_validator(pre=True)
    def build_extra(cls, values: Dict[str, Any]) -> Dict[str, Any]:
        """Build extra kwargs from additional params that were passed in."""
        all_required_field_names = get_pydantic_field_names(cls)
        extra = values.get("model_kwargs", {})
        for field_name in list(values):
            if field_name in extra:
                raise ValueError(f"Found {field_name} supplied twice.")
            if field_name not in all_required_field_names:
                logger.warning(
                    f"""WARNING! {field_name} is not default parameter.