"""simple docstring"""
import enum
import shutil
import sys


SCREAMING_SNAKE_CASE__		,				SCREAMING_SNAKE_CASE__   :      List[str]							=shutil.get_terminal_size()

SCREAMING_SNAKE_CASE__   :      List[str]							={'UP': 'A', 'DOWN': 'B', 'RIGHT': 'C', 'LEFT': 'D'}



class      _UpperCAmelCase						( enum.Enum						):






    """simple docstring"""
    __snake_case    =       0
    __snake_case    =       1





def 					UpperCamelCase					(       SCREAMING_SNAKE_CASE_						,	SCREAMING_SNAKE_CASE_="" )      ->List[str]:
    sys.stdout.write(str(A__ ) + end )
    sys.stdout.flush()



def 					UpperCamelCase					(       SCREAMING_SNAKE_CASE_						,	SCREAMING_SNAKE_CASE_						,	SCREAMING_SNAKE_CASE_="" )      ->Dict:
    forceWrite(F'''\u001b[{color}m{content}\u001b[0m'''						,	A__ )



def 					UpperCamelCase					(       )      ->Any:
    forceWrite('''\r''' )



def 					UpperCamelCase					(       SCREAMING_SNAKE_CASE_						,	SCREAMING_SNAKE_CASE_ )      ->int:
    forceWrite(F'''\033[{num_lines}{CURSOR_TO_CHAR[direction.upper()]}''' )



def 					UpperCamelCase					(       )      ->List[str]:
    forceWrite(''' ''' * TERMINAL_WIDTH )
    reset_cursor()



def 					UpperCamelCase					(       )      ->List[str]:
    reset_cursor()
    forceWrite('''-''' * TERMINAL_WIDTH )




'''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)
