code: def hijack(self, m):
      conditioner = getattr(m, "conditioner", None)
      if conditioner:
          text_cond_models = []
  
          for i in range(len(conditioner.embedders)):
              embedder = conditioner.embedders[i]
              typename = type(embedder).__name__
              if typename == "FrozenOpenCLIPEmbedder":
                  embedder.model.token_embedding = EmbeddingsWithFixes(
                      embedder.model.token_embedding, self
                  )
                  conditioner.embedders[
                      i
                  ] = sd_hijack_open_clip.FrozenOpenCLIPEmbedderWithCustomWords(
                      embedder, self
                  )
                  text_cond_models.append(conditioner.embedders[i])
              if typename == "FrozenCLIPEmbedder":
                  model_embeddings = (
                      embedder.transformer.text_model.embeddings
                  )
                  model_embeddings.token_embedding = (
                      EmbeddingsWithFixes(
                          model_embeddings.token_embedding, self
                      )
                  )
                  conditioner.embedders[
                      i
                  ] = sd_hijack_clip.FrozenCLIPEmbedderForSDXLWithCustomWords(
                      embedder, self
                  )
                  text_cond_models.append(conditioner.embedders[i])
              if typename == "FrozenOpenCLIPEmbedder2":
                  embedder.model.token_embedding = EmbeddingsWithFixes(
                      embedder.model.token_embedding,
                      self,
                      textual_inversion_key="clip_g",
                  )
                  conditioner.embedders[
                      i
                  ] = sd_hijack_open_clip.FrozenOpenCLIPEmbedder2WithCustomWords(
                      embedder, self
                  )
                  text_cond_models.append(conditioner.embedders[i])
  
          if len(text_cond_models) == 1:
              m.cond_stage_model = text_cond_models[0]
          else:
              m.cond_stage_model = conditioner
  
      if (
          type(m.cond_stage_model)
          == xlmr.BertSeriesModelWithTransformation
          or type(m.cond_stage_model)
          == xlmr_m18.BertSeriesModelWithTransformation
      ):
          model_embeddings = m.cond_stage_model.roberta.embeddings
          model_embeddings.token_embedding = EmbeddingsWithFixes(
              model_embeddings.word_embeddings, self
          )
          m.cond_stage_model = (
              sd_hijack_xlmr.FrozenXLMREmbedderWithCustomWords(
                  m.cond_stage_model, self
              )
          )
  
      elif (
          type(m.cond_stage_model)
          == ldm.modules.encoders.modules.FrozenCLIPEmbedder
      ):
          model_embeddings = (
              m.cond_stage_model.transformer.text_model.embeddings
          )
          model_embeddings.token_embedding = EmbeddingsWithFixes(
              model_embeddings.token_embedding, self
          )
          m.cond_stage_model = (
              sd_hijack_clip.FrozenCLIPEmbedderWithCustomWords(
                  m.cond_stage_model, self
              )
          )
  
      elif (
          type(m.cond_stage_model)
          == ldm.modules.encoders.modules.FrozenOpenCLIPEmbedder
      ):
          m.cond_stage_model.model.token_embedding = (
              EmbeddingsWithFixes(
                  m.cond_stage_model.model.token_embedding, self
              )
          )
          m.cond_stage_model = (
              sd_hijack_open_clip.FrozenOpenCLIPEmbedderWithCustomWords(
                  m.cond_stage_model, self
              )
          )
  
      apply_weighted_forward(m)
      if m.cond_stage_key == "edit":
          sd_hijack_unet.hijack_ddpm_edit()
  
      self.apply_optimizations()
  
      self.clip = m.cond_stage_model
  
      def flatten(el):
          flattened = [flatten(children) for children in el.children()]
          res = [el]
          for c in flattened:
              res += c
          return res
  
      self.layers = flatten(m)
  
      import modules.models.diffusion.ddpm_edit
  
      if isinstance(m, ldm.models.diffusion.ddpm.LatentDiffusion):
          sd_unet.original_forward = ldm_original_forward
      elif isinstance(
          m, modules.models.diffusion.ddpm_edit.LatentDiffusion
      ):
          sd_unet.original_forward = ldm_original_forward
      elif isinstance(m, sgm.models.diffusion.DiffusionEngine):
          sd_unet.original_forward = sgm_original_forward
      else:
          sd_unet.original_forward = None
  
imports: import torch
  from torch.nn.functional import silu
  from types import MethodType
  from modules import devices, sd_hijack_optimizations, shared, script_callbacks, errors, sd_unet, patches
  from modules.hypernetworks import hypernetwork
  from modules.shared import cmd_opts
  from modules import sd_hijack_clip, sd_hijack_open_clip, sd_hijack_unet, sd_hijack_xlmr, xlmr, xlmr_m18
  import ldm.modules.attention
  import ldm.modules.diffusionmodules.model
  import ldm.modules.diffusionmodules.openaimodel
  import ldm.models.diffusion.ddpm
  import ldm.models.diffusion.ddim
  import ldm.models.diffusion.plms
  import ldm.modules.encoders.modules
  import sgm.modules.attention
  import sgm.modules.diffusionmodules.model
  import sgm.modules.diffusionmodules.openaimodel
  import sgm.modules.encoders.modules
label_desc: Use image node_id 4 for calling the StableDiffusionModelHijack obj's underlying member method code with example usage: obj.hijack(m) and returns: res