

import argparse

import OmegaConf
import torch

from diffusers import DDIMScheduler, LDMPipeline, UNetLDMModel, VQModel



def 				snake_case_(_UpperCamelCase			,	_UpperCamelCase			,	_UpperCamelCase					)							->     Dict:



  """simple docstring"""






  _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__":
 __A      		=     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)
 __A      		=     parser.parse_args()

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




import os
import sys
from contextlib import contextmanager


# Windows only
if os.name == "nt":
 import ctypes
 import msvcrt  # noqa



 class   lowercase_   (  ctypes.Structure					):
       # _fields is a specific attr expected by ctypes
       UpperCamelCase_      :		List[Any]										=    [("size", ctypes.c_int), ("visible", ctypes.c_byte)]



def 				snake_case_()							->     int:



  """simple docstring"""






  if os.name == "nt":
    _snake_case						=							CursorInfo()
    _snake_case						=							ctypes.windll.kernelaa.GetStdHandle(-11					)
    ctypes.windll.kernelaa.GetConsoleCursorInfo(_UpperCamelCase			,	ctypes.byref(_UpperCamelCase					)					)
    _snake_case						=							False
    ctypes.windll.kernelaa.SetConsoleCursorInfo(_UpperCamelCase			,	ctypes.byref(_UpperCamelCase					)					)
  elif os.name == "posix":
    sys.stdout.write('''\033[?25l'''					)
    sys.stdout.flush()



def 				snake_case_()							->     Optional[Any]:



  """simple docstring"""






  if os.name == "nt":
    _snake_case						=							CursorInfo()
    _snake_case						=							ctypes.windll.kernelaa.GetStdHandle(-11					)
    ctypes.windll.kernelaa.GetConsoleCursorInfo(_UpperCamelCase			,	ctypes.byref(_UpperCamelCase					)					)
    _snake_case						=							True
    ctypes.windll.kernelaa.SetConsoleCursorInfo(_UpperCamelCase			,	ctypes.byref(_UpperCamelCase					)					)
  elif os.name == "posix":
    sys.stdout.write('''\033[?25h'''					)
    sys.stdout.flush()



@contextmanager
def 				snake_case_()							->     int:



  """simple docstring"""






  try:
    hide_cursor()
    yield
  finally:
    show_cursor()

