import argparse

from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection

from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline


if __name__ == "__main__":
      SCREAMING_SNAKE_CASE__		:       Optional[Any]       						=       argparse.ArgumentParser()

      parser.add_argument("--dump_path", default=None, type=str, required=True, help="Path to the output model.")

      parser.add_argument(
          "--txt2img_unclip",
          default="kakaobrain/karlo-v1-alpha",
          type=str,
          required=False,
          help="The pretrained txt2img unclip.",
      )

      SCREAMING_SNAKE_CASE__		:       Dict       						=       parser.parse_args()

      SCREAMING_SNAKE_CASE__		:       Optional[Any]       						=       UnCLIPPipeline.from_pretrained(args.txtaimg_unclip)

      SCREAMING_SNAKE_CASE__		:       Union[str, Any]       						=       CLIPImageProcessor()
      SCREAMING_SNAKE_CASE__		:       int       						=       CLIPVisionModelWithProjection.from_pretrained("openai/clip-vit-large-patch14")

      SCREAMING_SNAKE_CASE__		:       str       						=       UnCLIPImageVariationPipeline(
          decoder=txtaimg.decoder,
          text_encoder=txtaimg.text_encoder,
          tokenizer=txtaimg.tokenizer,
          text_proj=txtaimg.text_proj,
          feature_extractor=feature_extractor,
          image_encoder=image_encoder,
          super_res_first=txtaimg.super_res_first,
          super_res_last=txtaimg.super_res_last,
          decoder_scheduler=txtaimg.decoder_scheduler,
          super_res_scheduler=txtaimg.super_res_scheduler,
      )

      imgaimg.save_pretrained(args.dump_path)










'''simple docstring'''




import re





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str		)		->  list:
   return [char.split() for char in re.split(r"""[^ a-z A-Z 0-9 \s]"""      ,    str_		)]





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str		)		->  str:
   snake_case 						=   split_input(str_		)
   return "".join(
       ["""""".join([char.capitalize() for char in sub_str]		) for sub_str in string_split]		)





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str      ,    __lowerCAmelCase       :							bool      ,    __lowerCAmelCase       :							str		)		->  str:
   try:
      snake_case 						=   split_input(__lowerCAmelCase		)
      if upper:
         snake_case 						=   """""".join(
             [
                 separator.join([char.upper() for char in sub_str]		)
                 for sub_str in string_split
             ]		)
      else:
         snake_case 						=   """""".join(
             [
                 separator.join([char.lower() for char in sub_str]		)
                 for sub_str in string_split
             ]		)
      return res_str
   except IndexError:
      return "not valid string"





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str		)		->  str:
   return to_simple_case(__lowerCAmelCase		)





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str		)		->  str:
   try:
      snake_case 						=   to_simple_case(__lowerCAmelCase		)
      return res_str[0].lower() + res_str[1:]
   except IndexError:
      return "not valid string"





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str      ,    __lowerCAmelCase       :							bool		)		->  str:
   return to_complex_case(__lowerCAmelCase      ,    __lowerCAmelCase      ,    """_"""		)





def 	__lowerCamelCase			(      __lowerCAmelCase       :							str      ,    __lowerCAmelCase       :							bool		)		->  str:
   return to_complex_case(__lowerCAmelCase      ,    __lowerCAmelCase      ,    """-"""		)


if __name__ == "__main__":
 __import__("doctest").testmod()

