





import argparse

from transformers import CLIPImageProcessor, CLIPVisionModelWithProjection

from diffusers import UnCLIPImageVariationPipeline, UnCLIPPipeline


if __name__ == "__main__":
					UpperCamelCase__     =	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.",
					)

					UpperCamelCase__     =	parser.parse_args()

					UpperCamelCase__     =	UnCLIPPipeline.from_pretrained(args.txtaimg_unclip)

					UpperCamelCase__     =	CLIPImageProcessor()
					UpperCamelCase__     =	CLIPVisionModelWithProjection.from_pretrained("openai/clip-vit-large-patch14")

					UpperCamelCase__     =	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)











def       _UpperCamelCase       (a__				:dict    ):






							"""simple docstring"""





							UpperCamelCase__			       =     set()
							# To detect a back edge, keep track of vertices currently in the recursion stack
							UpperCamelCase__			       =     set()
							return any(
							    node not in visited and depth_first_search(a__				,     a__				,     a__				,     a__    )
							    for node in graph    )





def       _UpperCamelCase       (a__				:dict				,     a__				:int				,     a__				:set				,     a__				:set    ):






							"""simple docstring"""





							visited.add(a__    )
							rec_stk.add(a__    )

							for node in graph[vertex]:
														if node not in visited:
																					if depth_first_search(a__				,     a__				,     a__				,     a__    ):
																												return True
														elif node in rec_stk:
																					return True

    # The node needs to be removed from recursion stack before function ends
							rec_stk.remove(a__    )
							return False


if __name__ == "__main__":
					from doctest import testmod

					testmod()




