


'''simple docstring'''

import argparse

import torch
from safetensors.torch import load_file

from diffusers import StableDiffusionPipeline

def _SCREAMING_SNAKE_CASE      (A  , A  , A  , A  , A       )       ->       Union[str, Any]:






       """simple docstring"""







       lowercase__      			= StableDiffusionPipeline.from_pretrained(A  , torch_dtype=torch.floataa       )

       # load LoRA weight from .safetensors
       lowercase__      			= load_file(A       )

       lowercase__      			= []

       # 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:
                     lowercase__      			= key.split('''.'''       )[0].split(LORA_PREFIX_TEXT_ENCODER + '''_'''       )[-1].split('''_'''       )
                     lowercase__      			= pipeline.text_encoder
              else:
                     lowercase__      			= key.split('''.'''       )[0].split(LORA_PREFIX_UNET + '''_'''       )[-1].split('''_'''       )
                     lowercase__      			= pipeline.unet

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

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

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

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

       return pipeline


if __name__ == "__main__":
 lowerCamelCase							:   Union[str, Any]  						=	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=0.7_5, 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.)')

 lowerCamelCase							:   List[Any]  						=	parser.parse_args()

 lowerCamelCase							:   Dict  						=	args.base_model_path
 lowerCamelCase							:   str  						=	args.checkpoint_path
 lowerCamelCase							:   Optional[int]  						=	args.dump_path
 lowerCamelCase							:   str  						=	args.lora_prefix_unet
 lowerCamelCase							:   Any  						=	args.lora_prefix_text_encoder
 lowerCamelCase							:   List[Any]  						=	args.alpha

 lowerCamelCase							:   Dict  						=	convert(base_model_path, checkpoint_path, lora_prefix_unet, lora_prefix_text_encoder, alpha)

 lowerCamelCase							:   Optional[int]  						=	pipe.to(args.device)
 pipe.save_pretrained(args.dump_path, safe_serialization=args.to_safetensors)








'''simple docstring'''


class     lowercase__  :





							'''simple docstring'''


							def __init__(    self    ,					__snake_case = ""    ,					__snake_case = False  ):
											# Mapping from the first character of the prefix of the node
											_SCREAMING_SNAKE_CASE :       dict[str, RadixNode]     		=      {}

											# A node will be a leaf if the tree contains its word
											_SCREAMING_SNAKE_CASE :       List[Any]     		=      is_leaf

											_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      prefix






							def UpperCAmelCase_	(    self    ,					__snake_case  ):
											_SCREAMING_SNAKE_CASE :       Optional[int]     		=      0
											for q, w in zip(self.prefix    ,					__snake_case  ):
															if q != w:
																			break

															x += 1

											return self.prefix[:x], self.prefix[x:], word[x:]






							def UpperCAmelCase_	(    self    ,					__snake_case  ):
											for word in words:
															self.insert(__snake_case  )






							def UpperCAmelCase_	(    self    ,					__snake_case  ):
											# Case 1: If the word is the prefix of the node
											# Solution: We set the current node as leaf
											if self.prefix == word:
															_SCREAMING_SNAKE_CASE :       List[Any]     		=      True

											# Case 2: The node has no edges that have a prefix to the word
											# Solution: We create an edge from the current node to a new one
											# containing the word
											elif word[0] not in self.nodes:
															_SCREAMING_SNAKE_CASE :       List[str]     		=      RadixNode(prefix=__snake_case    ,					is_leaf=__snake_case  )

											else:
															_SCREAMING_SNAKE_CASE :       int     		=      self.nodes[word[0]]
															_SCREAMING_SNAKE_CASE		,       _SCREAMING_SNAKE_CASE		,       _SCREAMING_SNAKE_CASE :       Optional[Any]     		=      incoming_node.match(
															    __snake_case  )

															# Case 3: The node prefix is equal to the matching
															# Solution: We insert remaining word on the next node
															if remaining_prefix == "":
																			self.nodes[matching_string[0]].insert(__snake_case  )

															# Case 4: The word is greater equal to the matching
															# Solution: Create a node in between both nodes, change
															# prefixes and add the new node for the remaining word
															else:
																			_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      remaining_prefix

																			_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      self.nodes[matching_string[0]]
																			_SCREAMING_SNAKE_CASE :       List[Any]     		=      RadixNode(__snake_case    ,					__snake_case  )
																			_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      aux_node

																			if remaining_word == "":
																							_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      True
																			else:
																							self.nodes[matching_string[0]].insert(__snake_case  )






							def UpperCAmelCase_	(    self    ,					__snake_case  ):
											_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      self.nodes.get(word[0]    ,					__snake_case  )
											if not incoming_node:
															return False
											else:
															_SCREAMING_SNAKE_CASE		,       _SCREAMING_SNAKE_CASE		,       _SCREAMING_SNAKE_CASE :       Tuple     		=      incoming_node.match(
															    __snake_case  )
															# If there is remaining prefix, the word can't be on the tree
															if remaining_prefix != "":
																			return False
															# This applies when the word and the prefix are equal
															elif remaining_word == "":
																			return incoming_node.is_leaf
															# We have word remaining so we check the next node
															else:
																			return incoming_node.find(__snake_case  )






							def UpperCAmelCase_	(    self    ,					__snake_case  ):
											_SCREAMING_SNAKE_CASE :       Tuple     		=      self.nodes.get(word[0]    ,					__snake_case  )
											if not incoming_node:
															return False
											else:
															_SCREAMING_SNAKE_CASE		,       _SCREAMING_SNAKE_CASE		,       _SCREAMING_SNAKE_CASE :       List[Any]     		=      incoming_node.match(
															    __snake_case  )
															# If there is remaining prefix, the word can't be on the tree
															if remaining_prefix != "":
																			return False
															# We have word remaining so we check the next node
															elif remaining_word != "":
																			return incoming_node.delete(__snake_case  )
															else:
																			# If it is not a leaf, we don't have to delete
																			if not incoming_node.is_leaf:
																							return False
																			else:
																							# We delete the nodes if no edges go from it
																							if len(incoming_node.nodes  ) == 0:
																											del self.nodes[word[0]]
																											# We merge the current node with its only child
																											if len(self.nodes  ) == 1 and not self.is_leaf:
																															_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      list(self.nodes.values()  )[0]
																															_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      merging_node.is_leaf
																															self.prefix += merging_node.prefix
																															_SCREAMING_SNAKE_CASE :       Tuple     		=      merging_node.nodes
                    # If there is more than 1 edge, we just mark it as non-leaf
																							elif len(incoming_node.nodes  ) > 1:
																											_SCREAMING_SNAKE_CASE :       List[str]     		=      False
																							# If there is 1 edge, we merge it with its child
																							else:
																											_SCREAMING_SNAKE_CASE :       int     		=      list(incoming_node.nodes.values()  )[0]
																											_SCREAMING_SNAKE_CASE :       Tuple     		=      merging_node.is_leaf
																											incoming_node.prefix += merging_node.prefix
																											_SCREAMING_SNAKE_CASE :       str     		=      merging_node.nodes

																							return True






							def UpperCAmelCase_	(    self    ,					__snake_case = 0  ):
											if self.prefix != "":
															print("""-""" * height    ,					self.prefix    ,					"""  (leaf)""" if self.is_leaf else """"""  )

											for value in self.nodes.values():
															value.print_tree(height + 1  )







def 			snake_case_   (  ):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE :       Union[str, Any]     		=      """banana bananas bandana band apple all beast""".split()
				_SCREAMING_SNAKE_CASE :       Optional[Any]     		=      RadixNode()
				root.insert_many(SCREAMING_SNAKE_CASE__     )

				assert all(root.find(SCREAMING_SNAKE_CASE__     ) for word in words     )
				assert not root.find("""bandanas"""     )
				assert not root.find("""apps"""     )
				root.delete("""all"""     )
				assert not root.find("""all"""     )
				root.delete("""banana"""     )
				assert not root.find("""banana"""     )
				assert root.find("""bananas"""     )

				return True







def 			snake_case_   (  ):







				"""simple docstring"""





				assert test_trie()







def 			snake_case_   (  ):







				"""simple docstring"""





				_SCREAMING_SNAKE_CASE :       Tuple     		=      RadixNode()
				_SCREAMING_SNAKE_CASE :       Optional[int]     		=      """banana bananas bandanas bandana band apple all beast""".split()
				root.insert_many(SCREAMING_SNAKE_CASE__     )

				print("""Words:"""							,      SCREAMING_SNAKE_CASE__     )
				print("""Tree:"""     )
				root.print_tree()


if __name__ == "__main__":
				main()




