'''simple docstring'''


from typing import TYPE_CHECKING

from ...utils import OptionalDependencyNotAvailable, _LazyModule, is_torch_available


__lowerCAmelCase	:       List[str]						       =	{
    "configuration_xlm_roberta_xl": [
        "XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP",
        "XLMRobertaXLConfig",
        "XLMRobertaXLOnnxConfig",
    ],
}

try:
							if not is_torch_available():
														raise OptionalDependencyNotAvailable()
except OptionalDependencyNotAvailable:
							pass
else:
							__lowerCAmelCase	:       int						       =	[
							    "XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST",
							    "XLMRobertaXLForCausalLM",
							    "XLMRobertaXLForMaskedLM",
							    "XLMRobertaXLForMultipleChoice",
							    "XLMRobertaXLForQuestionAnswering",
							    "XLMRobertaXLForSequenceClassification",
							    "XLMRobertaXLForTokenClassification",
							    "XLMRobertaXLModel",
							    "XLMRobertaXLPreTrainedModel",
							]

if TYPE_CHECKING:
							from .configuration_xlm_roberta_xl import (
							    XLM_ROBERTA_XL_PRETRAINED_CONFIG_ARCHIVE_MAP,
							    XLMRobertaXLConfig,
							    XLMRobertaXLOnnxConfig,
							)

							try:
														if not is_torch_available():
																					raise OptionalDependencyNotAvailable()
							except OptionalDependencyNotAvailable:
														pass
							else:
														from .modeling_xlm_roberta_xl import (
														    XLM_ROBERTA_XL_PRETRAINED_MODEL_ARCHIVE_LIST,
														    XLMRobertaXLForCausalLM,
														    XLMRobertaXLForMaskedLM,
														    XLMRobertaXLForMultipleChoice,
														    XLMRobertaXLForQuestionAnswering,
														    XLMRobertaXLForSequenceClassification,
														    XLMRobertaXLForTokenClassification,
														    XLMRobertaXLModel,
														    XLMRobertaXLPreTrainedModel,
														)

else:
							import sys

							__lowerCAmelCase	:       List[Any]						       =	_LazyModule(__name__, globals()["__file__"], _import_structure)

'''simple docstring'''


import warnings

from diffusers import StableDiffusionImgaImgPipeline  # noqa F401


warnings.warn(
    "The `image_to_image.py` script is outdated. Please use directly `from diffusers import"
    " StableDiffusionImg2ImgPipeline` instead."
)
