class_docstr: Context manager that allows to read parameters from state_dict into a model that has some of its parameters in the meta device.
  As those parameters are read from state_dict, they will be deleted from it, so by the end state_dict will be mostly empty, to save memory.
  Meant to be used together with InitializeOnMeta above.
  
  Usage:
  ```
  with sd_disable_initialization.LoadStateDictOnMeta(state_dict):
      model.load_state_dict(state_dict, strict=False)
  ```
code: def __init__(self, state_dict, device, weight_dtype_conversion=None):
      super().__init__()
      self.state_dict = state_dict
      self.device = device
      self.weight_dtype_conversion = weight_dtype_conversion or {}
      self.default_dtype = self.weight_dtype_conversion.get("")
  
imports: import ldm.modules.encoders.modules
  import open_clip
  import torch
  import transformers.utils.hub
  from modules import shared
label_desc: Use image node_id 1 to create a new LoadStateDictOnMeta object from inherited base classes: ReplaceHelper with example: obj = LoadStateDictOnMeta(state_dict, device, weight_dtype_conversion)