




'''simple docstring'''



import argparse

import torch
from safetensors.torch import load_file

from diffusers import StableDiffusionPipeline







def       _UpperCamelCase			(_lowerCamelCase				:  Optional[Any] ,						_lowerCamelCase				:  Any ,						_lowerCamelCase				:  Optional[int] ,						_lowerCamelCase				:  str ,						_lowerCamelCase				:  Tuple						)-> Union[str, Any]:




     '''simple docstring'''





     __snake_case            =	StableDiffusionPipeline.from_pretrained(_lowerCamelCase ,						torch_dtype=torch.floataa						)

     # load LoRA weight from .safetensors
     __snake_case            =	load_file(_lowerCamelCase						)

     __snake_case            =	[]

     # directly update weight in diffusers model
     for key in state_dict:
          # it is suggested to print out the key, it usually will be something like below
          # "lora_te_text_model_encoder_layers_0_self_attn_k_proj.lora_down.weight"

          # as we have set the alpha beforehand, so just skip
          if ".alpha" in key or key in visited:
               continue

          if "text" in key:
               __snake_case            =	key.split('''.'''						)[0].split(LORA_PREFIX_TEXT_ENCODER + '''_'''						)[-1].split('''_'''						)
               __snake_case            =	pipeline.text_encoder
          else:
               __snake_case            =	key.split('''.'''						)[0].split(LORA_PREFIX_UNET + '''_'''						)[-1].split('''_'''						)
               __snake_case            =	pipeline.unet

          # find the target layer
          __snake_case            =	layer_infos.pop(0						)
          while len(_lowerCamelCase						) > -1:
               try:
                    __snake_case            =	curr_layer.__getattr__(_lowerCamelCase						)
                    if len(_lowerCamelCase						) > 0:
                         __snake_case            =	layer_infos.pop(0						)
                    elif len(_lowerCamelCase						) == 0:
                         break
               except Exception:
                    if len(_lowerCamelCase						) > 0:
                         temp_name += "_" + layer_infos.pop(0						)
                    else:
                         __snake_case            =	layer_infos.pop(0						)

          __snake_case            =	[]
          if "lora_down" in key:
               pair_keys.append(key.replace('''lora_down''' ,						'''lora_up'''						)						)
               pair_keys.append(_lowerCamelCase						)
          else:
               pair_keys.append(_lowerCamelCase						)
               pair_keys.append(key.replace('''lora_up''' ,						'''lora_down'''						)						)

          # update weight
          if len(state_dict[pair_keys[0]].shape						) == 4:
               __snake_case            =	state_dict[pair_keys[0]].squeeze(3						).squeeze(2						).to(torch.floataa						)
               __snake_case            =	state_dict[pair_keys[1]].squeeze(3						).squeeze(2						).to(torch.floataa						)
               curr_layer.weight.data += alpha * torch.mm(_lowerCamelCase ,						_lowerCamelCase						).unsqueeze(2						).unsqueeze(3						)
          else:
               __snake_case            =	state_dict[pair_keys[0]].to(torch.floataa						)
               __snake_case            =	state_dict[pair_keys[1]].to(torch.floataa						)
               curr_layer.weight.data += alpha * torch.mm(_lowerCamelCase ,						_lowerCamelCase						)

          # update visited list
          for item in pair_keys:
               visited.append(_lowerCamelCase						)

     return pipeline


if __name__ == "__main__":
     UpperCAmelCase_							:	Dict	     =		argparse.ArgumentParser()

     parser.add_argument(
         '''--base_model_path''', default=None, type=str, required=True, help='''Path to the base model in diffusers format.'''
     )
     parser.add_argument(
         '''--checkpoint_path''', default=None, type=str, required=True, help='''Path to the checkpoint to convert.'''
     )
     parser.add_argument('''--dump_path''', default=None, type=str, required=True, help='''Path to the output model.''')
     parser.add_argument(
         '''--lora_prefix_unet''', default='''lora_unet''', type=str, help='''The prefix of UNet weight in safetensors'''
     )
     parser.add_argument(
         '''--lora_prefix_text_encoder''',
         default='''lora_te''',
         type=str,
         help='''The prefix of text encoder weight in safetensors''',
     )
     parser.add_argument('''--alpha''', default=0.75, type=float, help='''The merging ratio in W = W0 + alpha * deltaW''')
     parser.add_argument(
         '''--to_safetensors''', action='''store_true''', help='''Whether to store pipeline in safetensors format or not.'''
     )
     parser.add_argument('''--device''', type=str, help='''Device to use (e.g. cpu, cuda:0, cuda:1, etc.)''')

     UpperCAmelCase_							:	List[str]	     =		parser.parse_args()

     UpperCAmelCase_							:	int	     =		args.base_model_path
     UpperCAmelCase_							:	Dict	     =		args.checkpoint_path
     UpperCAmelCase_							:	Dict	     =		args.dump_path
     UpperCAmelCase_							:	str	     =		args.lora_prefix_unet
     UpperCAmelCase_							:	Dict	     =		args.lora_prefix_text_encoder
     UpperCAmelCase_							:	Dict	     =		args.alpha

     UpperCAmelCase_							:	Optional[Any]	     =		convert(base_model_path, checkpoint_path, lora_prefix_unet, lora_prefix_text_encoder, alpha)

     UpperCAmelCase_							:	Dict	     =		pipe.to(args.device)
     pipe.save_pretrained(args.dump_path, safe_serialization=args.to_safetensors)












'''simple docstring'''



def       _UpperCamelCase			(_lowerCamelCase				:  Optional[Any]						)-> Dict:




     '''simple docstring'''





     __snake_case            =	[]
     __snake_case            =	[]
     __snake_case            =	{
         '''^''': 3,
         '''*''': 2,
         '''/''': 2,
         '''%''': 2,
         '''+''': 1,
         '''-''': 1,
     }  # Priority of each operator
     __snake_case            =	len(_lowerCamelCase						) if (len(_lowerCamelCase						) > 7) else 7

     # Print table header for output
     print(
         '''Symbol'''.center(8						) ,						'''Stack'''.center(_lowerCamelCase						) ,						'''Postfix'''.center(_lowerCamelCase						) ,						sep=''' | ''' ,						)
     print('''-''' * (print_width * 3 + 7)						)

     for x in infix:
          if x.isalpha() or x.isdigit():
               post_fix.append(_lowerCamelCase						)  # if x is Alphabet / Digit, add it to Postfix
          elif x == "(":
               stack.append(_lowerCamelCase						)  # if x is "(" push to Stack
          elif x == ")":  # if x is ")" pop stack until "(" is encountered
               while stack[-1] != "(":
                    post_fix.append(stack.pop()						)  # Pop stack & add the content to Postfix
               stack.pop()
          else:
               if len(_lowerCamelCase						) == 0:
                    stack.append(_lowerCamelCase						)  # If stack is empty, push x to stack
               else:  # while priority of x is not > priority of element in the stack
                    while len(_lowerCamelCase						) > 0 and priority[x] <= priority[stack[-1]]:
                         post_fix.append(stack.pop()						)  # pop stack & add to Postfix
                    stack.append(_lowerCamelCase						)  # push x to stack

          print(
              x.center(8						) ,						(''''''.join(_lowerCamelCase						)).ljust(_lowerCamelCase						) ,						(''''''.join(_lowerCamelCase						)).ljust(_lowerCamelCase						) ,						sep=''' | ''' ,						)  # Output in tabular format

     while len(_lowerCamelCase						) > 0:  # while stack is not empty
          post_fix.append(stack.pop()						)  # pop stack & add to Postfix
          print(
              ''' '''.center(8						) ,						(''''''.join(_lowerCamelCase						)).ljust(_lowerCamelCase						) ,						(''''''.join(_lowerCamelCase						)).ljust(_lowerCamelCase						) ,						sep=''' | ''' ,						)  # Output in tabular format

     return "".join(_lowerCamelCase						)  # return Postfix as str







def       _UpperCamelCase			(_lowerCamelCase				:  Optional[Any]						)-> str:




     '''simple docstring'''





     __snake_case            =	list(infix[::-1]						)  # reverse the infix equation

     for i in range(len(_lowerCamelCase						)						):
          if infix[i] == "(":
               __snake_case            =	''')'''  # change "(" to ")"
          elif infix[i] == ")":
               __snake_case            =	'''('''  # change ")" to "("

     return (infix_2_postfix(''''''.join(_lowerCamelCase						)						))[
         ::-1
     ]  # call infix_2_postfix on Infix, return reverse of Postfix


if __name__ == "__main__":
     UpperCAmelCase_							:	Dict	     =		input('''\nEnter an Infix Equation = ''')  # Input an Infix equation
     UpperCAmelCase_							:	Optional[Any]	     =		''''''.join(Infix.split())  # Remove spaces from the input
     print('''\n\t''', Infix, '''(Infix) -> ''', infix_2_prefix(Infix), '''(Prefix)''')






