"""simple docstring"""


import argparse

import OmegaConf
import torch

from diffusers import DDIMScheduler, LDMPipeline, UNetLDMModel, VQModel







def 					UpperCAmelCase    (		UpperCAmelCase						,					UpperCAmelCase						,					UpperCAmelCase					)				->      Any:
     snake_case_					       =					OmegaConf.load(UpperCAmelCase					)
     snake_case_					       =					torch.load(UpperCAmelCase						,					map_location='cpu'					)['model']
     snake_case_					       =					list(state_dict.keys()					)

     # extract state_dict for VQVAE
     snake_case_					       =					{}
     snake_case_					       =					'first_stage_model.'
     for key in keys:
          if key.startswith(UpperCAmelCase					):
               snake_case_					       =					state_dict[key]

    # extract state_dict for UNetLDM
     snake_case_					       =					{}
     snake_case_					       =					'model.diffusion_model.'
     for key in keys:
          if key.startswith(UpperCAmelCase					):
               snake_case_					       =					state_dict[key]

     snake_case_					       =					config.model.params.first_stage_config.params
     snake_case_					       =					config.model.params.unet_config.params

     snake_case_					       =					VQModel(**UpperCAmelCase					).eval()
     vqvae.load_state_dict(UpperCAmelCase					)

     snake_case_					       =					UNetLDMModel(**UpperCAmelCase					).eval()
     unet.load_state_dict(UpperCAmelCase					)

     snake_case_					       =					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=UpperCAmelCase						,					)

     snake_case_					       =					LDMPipeline(UpperCAmelCase						,					UpperCAmelCase						,					UpperCAmelCase					)
     pipeline.save_pretrained(UpperCAmelCase					)


if __name__ == "__main__":
    __UpperCamelCase									=			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)
    __UpperCamelCase									=			parser.parse_args()

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





"""simple docstring"""






from ..utils import DummyObject, requires_backends





class      lowerCamelCase__   (     metaclass=A				):







					"""simple docstring"""


					__a	       =							["""note_seq"""]






					def __init__(       self    : List[Any] ,       *UpperCamelCase    : List[Any] ,       **UpperCamelCase    : Tuple  ):
												'''simple docstring'''






												requires_backends(self ,       ["""note_seq"""]  )






					@classmethod
					def lowerCamelCase__							(       cls    : Union[str, Any] ,       *UpperCamelCase    : Union[str, Any] ,       **UpperCamelCase    : str  ):
												'''simple docstring'''






												requires_backends(cls ,       ["""note_seq"""]  )






					@classmethod
					def lowerCamelCase__							(       cls    : List[str] ,       *UpperCamelCase    : Optional[Any] ,       **UpperCamelCase    : Union[str, Any]  ):
												'''simple docstring'''






												requires_backends(cls ,       ["""note_seq"""]  )
