


'''simple docstring'''







import argparse

import OmegaConf
import torch

from diffusers import DDIMScheduler, LDMPipeline, UNetLDMModel, VQModel




def        __lowercase						(      __SCREAMING_SNAKE_CASE				,  __SCREAMING_SNAKE_CASE				,  __SCREAMING_SNAKE_CASE		)				->					Optional[int]:
     """simple docstring"""




     __a       =   OmegaConf.load(__SCREAMING_SNAKE_CASE		)
     __a       =   torch.load(__SCREAMING_SNAKE_CASE				,  map_location="""cpu"""		)["""model"""]
     __a       =   list(state_dict.keys()		)

     # extract state_dict for VQVAE
     __a       =   {}
     __a       =   """first_stage_model."""
     for key in keys:
          if key.startswith(__SCREAMING_SNAKE_CASE		):
               __a       =   state_dict[key]

    # extract state_dict for UNetLDM
     __a       =   {}
     __a       =   """model.diffusion_model."""
     for key in keys:
          if key.startswith(__SCREAMING_SNAKE_CASE		):
               __a       =   state_dict[key]

     __a       =   config.model.params.first_stage_config.params
     __a       =   config.model.params.unet_config.params

     __a       =   VQModel(**__SCREAMING_SNAKE_CASE		).eval()
     vqvae.load_state_dict(__SCREAMING_SNAKE_CASE		)

     __a       =   UNetLDMModel(**__SCREAMING_SNAKE_CASE		).eval()
     unet.load_state_dict(__SCREAMING_SNAKE_CASE		)

     __a       =   DDIMScheduler(
         timesteps=config.model.params.timesteps				,  beta_schedule="""scaled_linear"""				,  beta_start=config.model.params.linear_start				,  beta_end=config.model.params.linear_end				,  clip_sample=__SCREAMING_SNAKE_CASE				,  )

     __a       =   LDMPipeline(__SCREAMING_SNAKE_CASE				,  __SCREAMING_SNAKE_CASE				,  __SCREAMING_SNAKE_CASE		)
     pipeline.save_pretrained(__SCREAMING_SNAKE_CASE		)


if __name__ == "__main__":
 SCREAMING_SNAKE_CASE_      =			argparse.ArgumentParser()
 parser.add_argument('--checkpoint_path', type=str, required=True)
 parser.add_argument('--config_path', type=str, required=True)
 parser.add_argument('--output_path', type=str, required=True)
 SCREAMING_SNAKE_CASE_      =			parser.parse_args()

 convert_ldm_original(args.checkpoint_path, args.config_path, args.output_path)










'''simple docstring'''







def        __lowercase						(      __SCREAMING_SNAKE_CASE		)				->					str:
     """simple docstring"""




     return " ".join(input_str.split()[::-1]		)


if __name__ == "__main__":
 import doctest

 doctest.testmod()






