





"""simple docstring"""






import argparse

from diffusers.pipelines.stable_diffusion.convert_from_ckpt import download_controlnet_from_original_ckpt


if __name__ == "__main__":
    lowerCAmelCase_			=							argparse.ArgumentParser()

    parser.add_argument(
        '''--checkpoint_path''', default=None, type=str, required=True, help='''Path to the checkpoint to convert.'''
    )
    parser.add_argument(
        '''--original_config_file''',
        type=str,
        required=True,
        help='''The YAML config file corresponding to the original architecture.''',
    )
    parser.add_argument(
        '''--num_in_channels''',
        default=None,
        type=int,
        help='''The number of input channels. If `None` number of input channels will be automatically inferred.''',
    )
    parser.add_argument(
        '''--image_size''',
        default=512,
        type=int,
        help=(
            '''The image size that the model was trained on. Use 512 for Stable Diffusion v1.X and Stable Siffusion v2'''
            ''' Base. Use 768 for Stable Diffusion v2.'''
        ),
    )
    parser.add_argument(
        '''--extract_ema''',
        action='''store_true''',
        help=(
            '''Only relevant for checkpoints that have both EMA and non-EMA weights. Whether to extract the EMA weights'''
            ''' or not. Defaults to `False`. Add `--extract_ema` to extract the EMA weights. EMA weights usually yield'''
            ''' higher quality images for inference. Non-EMA weights are usually better to continue fine-tuning.'''
        ),
    )
    parser.add_argument(
        '''--upcast_attention''',
        action='''store_true''',
        help=(
            '''Whether the attention computation should always be upcasted. This is necessary when running stable'''
            ''' diffusion 2.1.'''
        ),
    )
    parser.add_argument(
        '''--from_safetensors''',
        action='''store_true''',
        help='''If `--checkpoint_path` is in `safetensors` format, load checkpoint with safetensors instead of PyTorch.''',
    )
    parser.add_argument(
        '''--to_safetensors''',
        action='''store_true''',
        help='''Whether to store pipeline in safetensors format or not.''',
    )
    parser.add_argument('''--dump_path''', default=None, type=str, required=True, help='''Path to the output model.''')
    parser.add_argument('''--device''', type=str, help='''Device to use (e.g. cpu, cuda:0, cuda:1, etc.)''')

    def       __lowerCamelCase    (       SCREAMING_SNAKE_CASE							)		->       Tuple:






           """simple docstring"""




           if string == "True":
                  return True
           elif string == "False":
                  return False
           else:
                  raise ValueError(F"""could not parse string as bool {string}"""							)

    parser.add_argument(
        '''--use_linear_projection''', help='''Override for use linear projection''', required=False, type=parse_bool
    )

    parser.add_argument('''--cross_attention_dim''', help='''Override for cross attention_dim''', required=False, type=int)

    lowerCAmelCase_			=							parser.parse_args()

    lowerCAmelCase_			=							download_controlnet_from_original_ckpt(
        checkpoint_path=args.checkpoint_path,
        original_config_file=args.original_config_file,
        image_size=args.image_size,
        extract_ema=args.extract_ema,
        num_in_channels=args.num_in_channels,
        upcast_attention=args.upcast_attention,
        from_safetensors=args.from_safetensors,
        device=args.device,
        use_linear_projection=args.use_linear_projection,
        cross_attention_dim=args.cross_attention_dim,
    )


    controlnet.save_pretrained(args.dump_path, safe_serialization=args.to_safetensors)













"""simple docstring"""






from collections import deque
from math import floor
from random import random
from time import time



class 	lowerCAmelCase					:






       def __init__(   self     ):
              _UpperCAmelCase     =     {}






       def 							__A (   self    ,  a__    ,  a__    ,  a__=1     ):
              if self.graph.get(a__     ):
                     if self.graph[u].count([w, v]     ) == 0:
                            self.graph[u].append([w, v]     )
              else:
                     _UpperCAmelCase     =     [[w, v]]
              if not self.graph.get(a__     ):
                     _UpperCAmelCase     =     []






       def 							__A (   self     ):
              return list(self.graph     )






       def 							__A (   self    ,  a__    ,  a__     ):
              if self.graph.get(a__     ):
                     for _ in self.graph[u]:
                            if _[1] == v:
                                   self.graph[u].remove(a__     )






       def 							__A (   self    ,  a__=-2    ,  a__=-1     ):
              if s == d:
                     return []
              _UpperCAmelCase     =     []
              _UpperCAmelCase     =     []
              if s == -2:
                     _UpperCAmelCase     =     list(self.graph     )[0]
              stack.append(a__     )
              visited.append(a__     )
              _UpperCAmelCase     =     s

              while True:
                     # check if there is any non isolated nodes
                     if len(self.graph[s]     ) != 0:
                            _UpperCAmelCase     =     s
                            for node in self.graph[s]:
                                   if visited.count(node[1]     ) < 1:
                                          if node[1] == d:
                                                 visited.append(a__     )
                                                 return visited
                                          else:
                                                 stack.append(node[1]     )
                                                 visited.append(node[1]     )
                                                 _UpperCAmelCase     =     node[1]
                                                 break

            # check if all the children are visited
                     if s == ss:
                            stack.pop()
                            if len(a__     ) != 0:
                                   _UpperCAmelCase     =     stack[len(a__     ) - 1]
                     else:
                            _UpperCAmelCase     =     ss

                     # check if se have reached the starting point
                     if len(a__     ) == 0:
                            return visited






       def 							__A (   self    ,  a__=-1     ):
              if c == -1:
                     _UpperCAmelCase     =     floor(random() * 1_00_00     ) + 10
              for i in range(a__     ):
                     # every vertex has max 100 edges
                     for _ in range(floor(random() * 1_02     ) + 1     ):
                            _UpperCAmelCase     =     floor(random() * c     ) + 1
                            if n != i:
                                   self.add_pair(a__    ,  a__    ,  1     )






       def 							__A (   self    ,  a__=-2     ):
              _UpperCAmelCase     =     deque()
              _UpperCAmelCase     =     []
              if s == -2:
                     _UpperCAmelCase     =     list(self.graph     )[0]
              d.append(a__     )
              visited.append(a__     )
              while d:
                     _UpperCAmelCase     =     d.popleft()
                     if len(self.graph[s]     ) != 0:
                            for node in self.graph[s]:
                                   if visited.count(node[1]     ) < 1:
                                          d.append(node[1]     )
                                          visited.append(node[1]     )
              return visited






       def 							__A (   self    ,  a__     ):
              _UpperCAmelCase     =     0
              for x in self.graph:
                     for y in self.graph[x]:
                            if y[1] == u:
                                   count += 1
              return count






       def 							__A (   self    ,  a__     ):
              return len(self.graph[u]     )






       def 							__A (   self    ,  a__=-2     ):
              _UpperCAmelCase     =     []
              _UpperCAmelCase     =     []
              if s == -2:
                     _UpperCAmelCase     =     list(self.graph     )[0]
              stack.append(a__     )
              visited.append(a__     )
              _UpperCAmelCase     =     s
              _UpperCAmelCase     =     []

              while True:
                     # check if there is any non isolated nodes
                     if len(self.graph[s]     ) != 0:
                            _UpperCAmelCase     =     s
                            for node in self.graph[s]:
                                   if visited.count(node[1]     ) < 1:
                                          stack.append(node[1]     )
                                          visited.append(node[1]     )
                                          _UpperCAmelCase     =     node[1]
                                          break

            # check if all the children are visited
                     if s == ss:
                            sorted_nodes.append(stack.pop()     )
                            if len(a__     ) != 0:
                                   _UpperCAmelCase     =     stack[len(a__     ) - 1]
                     else:
                            _UpperCAmelCase     =     ss

                     # check if se have reached the starting point
                     if len(a__     ) == 0:
                            return sorted_nodes






       def 							__A (   self     ):
              _UpperCAmelCase     =     []
              _UpperCAmelCase     =     []
              _UpperCAmelCase     =     list(self.graph     )[0]
              stack.append(a__     )
              visited.append(a__     )
              _UpperCAmelCase     =     -2
              _UpperCAmelCase     =     []
              _UpperCAmelCase     =     s
              _UpperCAmelCase     =     False
              _UpperCAmelCase     =     set()

              while True:
                     # check if there is any non isolated nodes
                     if len(self.graph[s]     ) != 0:
                            _UpperCAmelCase     =     s
                            for node in self.graph[s]:
                                   if (
                                       visited.count(node[1]     ) > 0
                                       and node[1] != parent
                                       and indirect_parents.count(node[1]     ) > 0
                                       and not on_the_way_back
                                   ):
                                          _UpperCAmelCase     =     len(a__     ) - 1
                                          while len_stack >= 0:
                                                 if stack[len_stack] == node[1]:
                                                        anticipating_nodes.add(node[1]     )
                                                        break
                                                 else:
                                                        anticipating_nodes.add(stack[len_stack]     )
                                                        len_stack -= 1
                                   if visited.count(node[1]     ) < 1:
                                          stack.append(node[1]     )
                                          visited.append(node[1]     )
                                          _UpperCAmelCase     =     node[1]
                                          break

            # check if all the children are visited
                     if s == ss:
                            stack.pop()
                            _UpperCAmelCase     =     True
                            if len(a__     ) != 0:
                                   _UpperCAmelCase     =     stack[len(a__     ) - 1]
                     else:
                            _UpperCAmelCase     =     False
                            indirect_parents.append(a__     )
                            _UpperCAmelCase     =     s
                            _UpperCAmelCase     =     ss

                     # check if se have reached the starting point
                     if len(a__     ) == 0:
                            return list(a__     )






       def 							__A (   self     ):
              _UpperCAmelCase     =     []
              _UpperCAmelCase     =     []
              _UpperCAmelCase     =     list(self.graph     )[0]
              stack.append(a__     )
              visited.append(a__     )
              _UpperCAmelCase     =     -2
              _UpperCAmelCase     =     []
              _UpperCAmelCase     =     s
              _UpperCAmelCase     =     False
              _UpperCAmelCase     =     set()

              while True:
                     # check if there is any non isolated nodes
                     if len(self.graph[s]     ) != 0:
                            _UpperCAmelCase     =     s
                            for node in self.graph[s]:
                                   if (
                                       visited.count(node[1]     ) > 0
                                       and node[1] != parent
                                       and indirect_parents.count(node[1]     ) > 0
                                       and not on_the_way_back
                                   ):
                                          _UpperCAmelCase     =     len(a__     ) - 1
                                          while len_stack_minus_one >= 0:
                                                 if stack[len_stack_minus_one] == node[1]:
                                                        anticipating_nodes.add(node[1]     )
                                                        break
                                                 else:
                                                        return True
                                   if visited.count(node[1]     ) < 1:
                                          stack.append(node[1]     )
                                          visited.append(node[1]     )
                                          _UpperCAmelCase     =     node[1]
                                          break

            # check if all the children are visited
                     if s == ss:
                            stack.pop()
                            _UpperCAmelCase     =     True
                            if len(a__     ) != 0:
                                   _UpperCAmelCase     =     stack[len(a__     ) - 1]
                     else:
                            _UpperCAmelCase     =     False
                            indirect_parents.append(a__     )
                            _UpperCAmelCase     =     s
                            _UpperCAmelCase     =     ss

                     # check if se have reached the starting point
                     if len(a__     ) == 0:
                            return False






       def 							__A (   self    ,  a__=-2    ,  a__=-1     ):
              _UpperCAmelCase     =     time()
              self.dfs(a__    ,  a__     )
              _UpperCAmelCase     =     time()
              return end - begin






       def 							__A (   self    ,  a__=-2     ):
              _UpperCAmelCase     =     time()
              self.bfs(a__     )
              _UpperCAmelCase     =     time()
              return end - begin



class 	lowerCAmelCase					:






       def __init__(   self     ):
              _UpperCAmelCase     =     {}






       def 							__A (   self    ,  a__    ,  a__    ,  a__=1     ):
              # check if the u exists
              if self.graph.get(a__     ):
                     # if there already is a edge
                     if self.graph[u].count([w, v]     ) == 0:
                            self.graph[u].append([w, v]     )
              else:
                     # if u does not exist
                     _UpperCAmelCase     =     [[w, v]]
              # add the other way
              if self.graph.get(a__     ):
                     # if there already is a edge
                     if self.graph[v].count([w, u]     ) == 0:
                            self.graph[v].append([w, u]     )
              else:
                     # if u does not exist
                     _UpperCAmelCase     =     [[w, u]]






       def 							__A (   self    ,  a__    ,  a__     ):
              if self.graph.get(a__     ):
                     for _ in self.graph[u]:
                            if _[1] == v:
                                   self.graph[u].remove(a__     )
        # the other way round
              if self.graph.get(a__     ):
                     for _ in self.graph[v]:
                            if _[1] == u:
                                   self.graph[v].remove(a__     )






       def 							__A (   self    ,  a__=-2    ,  a__=-1     ):
              if s == d:
                     return []
              _UpperCAmelCase     =     []
              _UpperCAmelCase     =     []
              if s == -2:
                     _UpperCAmelCase     =     list(self.graph     )[0]
              stack.append(a__     )
              visited.append(a__     )
              _UpperCAmelCase     =     s

              while True:
                     # check if there is any non isolated nodes
                     if len(self.graph[s]     ) != 0:
                            _UpperCAmelCase     =     s
                            for node in self.graph[s]:
                                   if visited.count(node[1]     ) < 1:
                                          if node[1] == d:
                                                 visited.append(a__     )
                                                 return visited
                                          else:
                                                 stack.append(node[1]     )
                                                 visited.append(node[1]     )
                                                 _UpperCAmelCase     =     node[1]
                                                 break

            # check if all the children are visited
                     if s == ss:
                            stack.pop()
                            if len(a__     ) != 0:
                                   _UpperCAmelCase     =     stack[len(a__     ) - 1]
                     else:
                            _UpperCAmelCase     =     ss

                     # check if se have reached the starting point
                     if len(a__     ) == 0:
                            return visited






       def 							__A (   self    ,  a__=-1     ):
              if c == -1:
                     _UpperCAmelCase     =     floor(random() * 1_00_00     ) + 10
              for i in range(a__     ):
                     # every vertex has max 100 edges
                     for _ in range(floor(random() * 1_02     ) + 1     ):
                            _UpperCAmelCase     =     floor(random() * c     ) + 1
                            if n != i:
                                   self.add_pair(a__    ,  a__    ,  1     )






       def 							__A (   self    ,  a__=-2     ):
              _UpperCAmelCase     =     deque()
              _UpperCAmelCase     =     []
              if s == -2:
                     _UpperCAmelCase     =     list(self.graph     )[0]
              d.append(a__     )
              visited.append(a__     )
              while d:
                     _UpperCAmelCase     =     d.popleft()
                     if len(self.graph[s]     ) != 0:
                            for node in self.graph[s]:
                                   if visited.count(node[1]     ) < 1:
                                          d.append(node[1]     )
                                          visited.append(node[1]     )
              return visited






       def 							__A (   self    ,  a__     ):
              return len(self.graph[u]     )






       def 							__A (   self     ):
              _UpperCAmelCase     =     []
              _UpperCAmelCase     =     []
              _UpperCAmelCase     =     list(self.graph     )[0]
              stack.append(a__     )
              visited.append(a__     )
              _UpperCAmelCase     =     -2
              _UpperCAmelCase     =     []
              _UpperCAmelCase     =     s
              _UpperCAmelCase     =     False
              _UpperCAmelCase     =     set()

              while True:
                     # check if there is any non isolated nodes
                     if len(self.graph[s]     ) != 0:
                            _UpperCAmelCase     =     s
                            for node in self.graph[s]:
                                   if (
                                       visited.count(node[1]     ) > 0
                                       and node[1] != parent
                                       and indirect_parents.count(node[1]     ) > 0
                                       and not on_the_way_back
                                   ):
                                          _UpperCAmelCase     =     len(a__     ) - 1
                                          while len_stack >= 0:
                                                 if stack[len_stack] == node[1]:
                                                        anticipating_nodes.add(node[1]     )
                                                        break
                                                 else:
                                                        anticipating_nodes.add(stack[len_stack]     )
                                                        len_stack -= 1
                                   if visited.count(node[1]     ) < 1:
                                          stack.append(node[1]     )
                                          visited.append(node[1]     )
                                          _UpperCAmelCase     =     node[1]
                                          break

            # check if all the children are visited
                     if s == ss:
                            stack.pop()
                            _UpperCAmelCase     =     True
                            if len(a__     ) != 0:
                                   _UpperCAmelCase     =     stack[len(a__     ) - 1]
                     else:
                            _UpperCAmelCase     =     False
                            indirect_parents.append(a__     )
                            _UpperCAmelCase     =     s
                            _UpperCAmelCase     =     ss

                     # check if se have reached the starting point
                     if len(a__     ) == 0:
                            return list(a__     )






       def 							__A (   self     ):
              _UpperCAmelCase     =     []
              _UpperCAmelCase     =     []
              _UpperCAmelCase     =     list(self.graph     )[0]
              stack.append(a__     )
              visited.append(a__     )
              _UpperCAmelCase     =     -2
              _UpperCAmelCase     =     []
              _UpperCAmelCase     =     s
              _UpperCAmelCase     =     False
              _UpperCAmelCase     =     set()

              while True:
                     # check if there is any non isolated nodes
                     if len(self.graph[s]     ) != 0:
                            _UpperCAmelCase     =     s
                            for node in self.graph[s]:
                                   if (
                                       visited.count(node[1]     ) > 0
                                       and node[1] != parent
                                       and indirect_parents.count(node[1]     ) > 0
                                       and not on_the_way_back
                                   ):
                                          _UpperCAmelCase     =     len(a__     ) - 1
                                          while len_stack_minus_one >= 0:
                                                 if stack[len_stack_minus_one] == node[1]:
                                                        anticipating_nodes.add(node[1]     )
                                                        break
                                                 else:
                                                        return True
                                   if visited.count(node[1]     ) < 1:
                                          stack.append(node[1]     )
                                          visited.append(node[1]     )
                                          _UpperCAmelCase     =     node[1]
                                          break

            # check if all the children are visited
                     if s == ss:
                            stack.pop()
                            _UpperCAmelCase     =     True
                            if len(a__     ) != 0:
                                   _UpperCAmelCase     =     stack[len(a__     ) - 1]
                     else:
                            _UpperCAmelCase     =     False
                            indirect_parents.append(a__     )
                            _UpperCAmelCase     =     s
                            _UpperCAmelCase     =     ss

                     # check if se have reached the starting point
                     if len(a__     ) == 0:
                            return False






       def 							__A (   self     ):
              return list(self.graph     )






       def 							__A (   self    ,  a__=-2    ,  a__=-1     ):
              _UpperCAmelCase     =     time()
              self.dfs(a__    ,  a__     )
              _UpperCAmelCase     =     time()
              return end - begin






       def 							__A (   self    ,  a__=-2     ):
              _UpperCAmelCase     =     time()
              self.bfs(a__     )
              _UpperCAmelCase     =     time()
              return end - begin






