
import argparse
import io

import requests
import torch
from omegaconf import OmegaConf

from diffusers import AutoencoderKL
from diffusers.pipelines.stable_diffusion.convert_from_ckpt import (
    assign_to_checkpoint,
    conv_attn_to_linear,
    create_vae_diffusers_config,
    renew_vae_attention_paths,
    renew_vae_resnet_paths,
)

def 		UpperCamelCase	(      lowercase_ , lowercase_   )		->	Union[str, Any]:


  '''simple docstring'''






  lowercase__  :   int    		=      checkpoint

  lowercase__  :   Dict    		=      {}

  lowercase__  :   int    		=      vae_state_dict["""encoder.conv_in.weight"""]
  lowercase__  :   Any    		=      vae_state_dict["""encoder.conv_in.bias"""]
  lowercase__  :   Dict    		=      vae_state_dict["""encoder.conv_out.weight"""]
  lowercase__  :   Optional[int]    		=      vae_state_dict["""encoder.conv_out.bias"""]
  lowercase__  :   List[Any]    		=      vae_state_dict["""encoder.norm_out.weight"""]
  lowercase__  :   Optional[Any]    		=      vae_state_dict["""encoder.norm_out.bias"""]

  lowercase__  :   Union[str, Any]    		=      vae_state_dict["""decoder.conv_in.weight"""]
  lowercase__  :   List[Any]    		=      vae_state_dict["""decoder.conv_in.bias"""]
  lowercase__  :   List[str]    		=      vae_state_dict["""decoder.conv_out.weight"""]
  lowercase__  :   Union[str, Any]    		=      vae_state_dict["""decoder.conv_out.bias"""]
  lowercase__  :   Optional[int]    		=      vae_state_dict["""decoder.norm_out.weight"""]
  lowercase__  :   Union[str, Any]    		=      vae_state_dict["""decoder.norm_out.bias"""]

  lowercase__  :   str    		=      vae_state_dict["""quant_conv.weight"""]
  lowercase__  :   Tuple    		=      vae_state_dict["""quant_conv.bias"""]
  lowercase__  :   Optional[int]    		=      vae_state_dict["""post_quant_conv.weight"""]
  lowercase__  :   List[Any]    		=      vae_state_dict["""post_quant_conv.bias"""]

  # Retrieves the keys for the encoder down blocks only
  lowercase__  :   Optional[int]    		=      len({""".""".join(layer.split("""."""   )[:3]   ) for layer in vae_state_dict if """encoder.down""" in layer}   )
  lowercase__  :   Dict    		=      {
      layer_id: [key for key in vae_state_dict if F'down.{layer_id}' in key] for layer_id in range(_snake_case   )
  }

  # Retrieves the keys for the decoder up blocks only
  lowercase__  :   List[Any]    		=      len({""".""".join(layer.split("""."""   )[:3]   ) for layer in vae_state_dict if """decoder.up""" in layer}   )
  lowercase__  :   Optional[int]    		=      {
      layer_id: [key for key in vae_state_dict if F'up.{layer_id}' in key] for layer_id in range(_snake_case   )
  }

  for i in range(_snake_case   ):
    lowercase__  :   Optional[Any]    		=      [key for key in down_blocks[i] if F'down.{i}' in key and F'down.{i}.downsample' not in key]

    if F'encoder.down.{i}.downsample.conv.weight' in vae_state_dict:
      lowercase__  :   Tuple    		=      vae_state_dict.pop(
          F'encoder.down.{i}.downsample.conv.weight'   )
      lowercase__  :   Optional[int]    		=      vae_state_dict.pop(
          F'encoder.down.{i}.downsample.conv.bias'   )

    lowercase__  :   Optional[int]    		=      renew_vae_resnet_paths(_snake_case   )
    lowercase__  :   str    		=      {"""old""": F'down.{i}.block', """new""": F'down_blocks.{i}.resnets'}
    assign_to_checkpoint(_snake_case , _snake_case , _snake_case , additional_replacements=[meta_path] , config=_snake_case   )

  lowercase__  :   Any    		=      [key for key in vae_state_dict if """encoder.mid.block""" in key]
  lowercase__  :   Union[str, Any]    		=      2
  for i in range(1 , num_mid_res_blocks + 1   ):
    lowercase__  :   List[str]    		=      [key for key in mid_resnets if F'encoder.mid.block_{i}' in key]

    lowercase__  :   str    		=      renew_vae_resnet_paths(_snake_case   )
    lowercase__  :   Optional[int]    		=      {"""old""": F'mid.block_{i}', """new""": F'mid_block.resnets.{i - 1}'}
    assign_to_checkpoint(_snake_case , _snake_case , _snake_case , additional_replacements=[meta_path] , config=_snake_case   )

  lowercase__  :   Tuple    		=      [key for key in vae_state_dict if """encoder.mid.attn""" in key]
  lowercase__  :   List[Any]    		=      renew_vae_attention_paths(_snake_case   )
  lowercase__  :   int    		=      {"""old""": """mid.attn_1""", """new""": """mid_block.attentions.0"""}
  assign_to_checkpoint(_snake_case , _snake_case , _snake_case , additional_replacements=[meta_path] , config=_snake_case   )
  conv_attn_to_linear(_snake_case   )

  for i in range(_snake_case   ):
    lowercase__  :   List[str]    		=      num_up_blocks - 1 - i
    lowercase__  :   List[str]    		=      [
        key for key in up_blocks[block_id] if F'up.{block_id}' in key and F'up.{block_id}.upsample' not in key
    ]

    if F'decoder.up.{block_id}.upsample.conv.weight' in vae_state_dict:
      lowercase__  :   int    		=      vae_state_dict[
          F'decoder.up.{block_id}.upsample.conv.weight'
      ]
      lowercase__  :   int    		=      vae_state_dict[
          F'decoder.up.{block_id}.upsample.conv.bias'
      ]

    lowercase__  :   List[str]    		=      renew_vae_resnet_paths(_snake_case   )
    lowercase__  :   str    		=      {"""old""": F'up.{block_id}.block', """new""": F'up_blocks.{i}.resnets'}
    assign_to_checkpoint(_snake_case , _snake_case , _snake_case , additional_replacements=[meta_path] , config=_snake_case   )

  lowercase__  :   int    		=      [key for key in vae_state_dict if """decoder.mid.block""" in key]
  lowercase__  :   Dict    		=      2
  for i in range(1 , num_mid_res_blocks + 1   ):
    lowercase__  :   Optional[int]    		=      [key for key in mid_resnets if F'decoder.mid.block_{i}' in key]

    lowercase__  :   Optional[Any]    		=      renew_vae_resnet_paths(_snake_case   )
    lowercase__  :   List[Any]    		=      {"""old""": F'mid.block_{i}', """new""": F'mid_block.resnets.{i - 1}'}
    assign_to_checkpoint(_snake_case , _snake_case , _snake_case , additional_replacements=[meta_path] , config=_snake_case   )

  lowercase__  :   Optional[int]    		=      [key for key in vae_state_dict if """decoder.mid.attn""" in key]
  lowercase__  :   str    		=      renew_vae_attention_paths(_snake_case   )
  lowercase__  :   Any    		=      {"""old""": """mid.attn_1""", """new""": """mid_block.attentions.0"""}
  assign_to_checkpoint(_snake_case , _snake_case , _snake_case , additional_replacements=[meta_path] , config=_snake_case   )
  conv_attn_to_linear(_snake_case   )
  return new_checkpoint

def 		UpperCamelCase	(      lowercase_ , lowercase_ , )		->	int:


  '''simple docstring'''






  lowercase__  :   List[Any]    		=      requests.get(
      """ https://raw.githubusercontent.com/CompVis/stable-diffusion/main/configs/stable-diffusion/v1-inference.yaml"""   )
  lowercase__  :   Optional[Any]    		=      io.BytesIO(r.content   )

  lowercase__  :   Optional[int]    		=      OmegaConf.load(_snake_case   )
  lowercase__  :   Dict    		=      5_12
  lowercase__  :   Optional[Any]    		=      """cuda""" if torch.cuda.is_available() else """cpu"""
  if checkpoint_path.endswith("""safetensors"""   ):
    from safetensors import safe_open

    lowercase__  :   Union[str, Any]    		=      {}
    with safe_open(_snake_case , framework="""pt""" , device="""cpu"""   ) as f:
      for key in f.keys():
        lowercase__  :   str    		=      f.get_tensor(_snake_case   )
  else:
    lowercase__  :   int    		=      torch.load(_snake_case , map_location=_snake_case   )["""state_dict"""]

  # Convert the VAE model.
  lowercase__  :   Optional[int]    		=      create_vae_diffusers_config(_snake_case , image_size=_snake_case   )
  lowercase__  :   Optional[int]    		=      custom_convert_ldm_vae_checkpoint(_snake_case , _snake_case   )

  lowercase__  :   Optional[int]    		=      AutoencoderKL(**_snake_case   )
  vae.load_state_dict(_snake_case   )
  vae.save_pretrained(_snake_case   )


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

     parser.add_argument("""--vae_pt_path""", default=None, type=str, required=True, help="""Path to the VAE.pt to convert.""")
     parser.add_argument("""--dump_path""", default=None, type=str, required=True, help="""Path to the VAE.pt to convert.""")

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

     vae_pt_to_vae_diffuser(args.vae_pt_path, args.dump_path)






from __future__ import annotations

from collections.abc import Iterator
from typing import Any



class       _snake_case   :


 def __init__(					self					,  SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   lowercase__  :   Any    		=      data
   lowercase__  :   Node | None    		=      None



class       _snake_case   :


 def __init__(					self):


   '''simple docstring'''




   lowercase__  :   List[Any]    		=      None
   lowercase__  :   int    		=      None


 def __iter__(					self):


   '''simple docstring'''




   lowercase__  :   List[str]    		=      self.head
   while self.head:
     yield node.data
     lowercase__  :   str    		=      node.next
     if node == self.head:
       break


 def __len__(					self):


   '''simple docstring'''




   return sum(1 for _ in self)


 def __repr__(					self):


   '''simple docstring'''




   return "->".join(str(SCREAMING_SNAKE_CASE_) for item in iter(self))


 def      lowercase__     (					self					,  SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   self.insert_nth(len(self)					,  SCREAMING_SNAKE_CASE_)


 def      lowercase__     (					self					,  SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   self.insert_nth(0					,  SCREAMING_SNAKE_CASE_)


 def      lowercase__     (					self					,  SCREAMING_SNAKE_CASE_					,  SCREAMING_SNAKE_CASE_):


   '''simple docstring'''




   if index < 0 or index > len(self):
     raise IndexError("""list index out of range.""")
   lowercase__  :   Optional[int]    		=      Node(SCREAMING_SNAKE_CASE_)
   if self.head is None:
     lowercase__  :   Union[str, Any]    		=      new_node  # first node points itself
     lowercase__  :   Dict    		=      new_node
   elif index == 0:  # insert at head
     lowercase__  :   int    		=      self.head
     lowercase__  :   int    		=      new_node
   else:
     lowercase__  :   List[str]    		=      self.head
     for _ in range(index - 1):
       lowercase__  :   Union[str, Any]    		=      temp.next
     lowercase__  :   int    		=      temp.next
     lowercase__  :   Optional[Any]    		=      new_node
     if index == len(self) - 1:  # insert at tail
       lowercase__  :   Union[str, Any]    		=      new_node


 def      lowercase__     (					self):


   '''simple docstring'''




   return self.delete_nth(0)


 def      lowercase__     (					self):


   '''simple docstring'''




   return self.delete_nth(len(self) - 1)


 def      lowercase__     (					self					,  SCREAMING_SNAKE_CASE_ = 0):


   '''simple docstring'''




   if not 0 <= index < len(self):
     raise IndexError("""list index out of range.""")
   lowercase__  :   str    		=      self.head
   if self.head == self.tail:  # just one node
     lowercase__  :   List[Any]    		=      None
   elif index == 0:  # delete head node
     lowercase__  :   str    		=      self.tail.next.next
     lowercase__  :   List[Any]    		=      self.head.next
   else:
     lowercase__  :   Optional[int]    		=      self.head
     for _ in range(index - 1):
       lowercase__  :   List[Any]    		=      temp.next
     lowercase__  :   Optional[Any]    		=      temp.next
     lowercase__  :   Dict    		=      temp.next.next
     if index == len(self) - 1:  # delete at tail
       lowercase__  :   Tuple    		=      temp
   return delete_node.data



 def      lowercase__     (					self):


   '''simple docstring'''




   return len(self) == 0

def 		UpperCamelCase	(      )		->	None:


  '''simple docstring'''






  lowercase__  :   int    		=      CircularLinkedList()
  assert len(lowercase_   ) == 0
  assert circular_linked_list.is_empty() is True
  assert str(lowercase_   ) == ""

  try:
    circular_linked_list.delete_front()
    raise AssertionError  # This should not happen
  except IndexError:
    assert True  # This should happen

  try:
    circular_linked_list.delete_tail()
    raise AssertionError  # This should not happen
  except IndexError:
    assert True  # This should happen

  try:
    circular_linked_list.delete_nth(-1   )
    raise AssertionError
  except IndexError:
    assert True

  try:
    circular_linked_list.delete_nth(0   )
    raise AssertionError
  except IndexError:
    assert True

  assert circular_linked_list.is_empty() is True
  for i in range(5   ):
    assert len(lowercase_   ) == i
    circular_linked_list.insert_nth(lowercase_ , i + 1   )
  assert str(lowercase_   ) == "->".join(str(lowercase_   ) for i in range(1 , 6   )   )

  circular_linked_list.insert_tail(6   )
  assert str(lowercase_   ) == "->".join(str(lowercase_   ) for i in range(1 , 7   )   )
  circular_linked_list.insert_head(0   )
  assert str(lowercase_   ) == "->".join(str(lowercase_   ) for i in range(0 , 7   )   )

  assert circular_linked_list.delete_front() == 0
  assert circular_linked_list.delete_tail() == 6
  assert str(lowercase_   ) == "->".join(str(lowercase_   ) for i in range(1 , 6   )   )
  assert circular_linked_list.delete_nth(2   ) == 3

  circular_linked_list.insert_nth(2 , 3   )
  assert str(lowercase_   ) == "->".join(str(lowercase_   ) for i in range(1 , 6   )   )

  assert circular_linked_list.is_empty() is False


if __name__ == "__main__":
     import doctest

     doctest.testmod()






