


'''simple docstring'''






import argparse

from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection

from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline


if __name__ == "__main__":
 lowercase							=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.',
 )

 lowercase							=parser.parse_args()

 lowercase							=UnCLIPPipeline.from_pretrained(args.txtaimg_unclip)

 lowercase							=CLIPImageProcessor()
 lowercase							=CLIPVisionModelWithProjection.from_pretrained('openai/clip-vit-large-patch14')

 lowercase							=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'''






from __future__ import annotations





def lowerCamelCase__      (						__lowerCamelCase	:							list[int]							):







   '''simple docstring'''




   if not nums:
      return 0
   _UpperCAmelCase       :       Tuple							   =nums[0]
   _UpperCAmelCase       :       int							   =0
   for num in nums[1:]:
      _UpperCAmelCase   ,	_UpperCAmelCase       :       Optional[int]							   =(
          max_excluding + num,
          max(__lowerCamelCase	,   __lowerCamelCase							),
      )
   return max(__lowerCamelCase	,   __lowerCamelCase							)


if __name__ == "__main__":
 import doctest

 doctest.testmod()

