code: def convert_safety_checker(p_head_path, w_head_path):
      state_dict = {}
  
      # p head
  
      p_head = np.load(p_head_path)
  
      p_head_weights = p_head["weights"]
      p_head_weights = torch.from_numpy(p_head_weights)
      p_head_weights = p_head_weights.unsqueeze(0)
  
      p_head_biases = p_head["biases"]
      p_head_biases = torch.from_numpy(p_head_biases)
      p_head_biases = p_head_biases.unsqueeze(0)
  
      state_dict["p_head.weight"] = p_head_weights
      state_dict["p_head.bias"] = p_head_biases
  
      # w head
  
      w_head = np.load(w_head_path)
  
      w_head_weights = w_head["weights"]
      w_head_weights = torch.from_numpy(w_head_weights)
      w_head_weights = w_head_weights.unsqueeze(0)
  
      w_head_biases = w_head["biases"]
      w_head_biases = torch.from_numpy(w_head_biases)
      w_head_biases = w_head_biases.unsqueeze(0)
  
      state_dict["w_head.weight"] = w_head_weights
      state_dict["w_head.bias"] = w_head_biases
  
      # vision model
  
      vision_model = CLIPVisionModelWithProjection.from_pretrained(
          "openai/clip-vit-large-patch14"
      )
      vision_model_state_dict = vision_model.state_dict()
  
      for key, value in vision_model_state_dict.items():
          key = f"vision_model.{key}"
          state_dict[key] = value
  
      # full model
  
      config = CLIPConfig.from_pretrained(
          "openai/clip-vit-large-patch14"
      )
      safety_checker = IFSafetyChecker(config)
  
      safety_checker.load_state_dict(state_dict)
  
      return safety_checker
  
imports: import argparse
  import inspect
  import os
  import numpy
  import torch
  import yaml
  from torch.nn import functional
  from transformers import CLIPConfig, CLIPImageProcessor, CLIPVisionModelWithProjection, T5EncoderModel, T5Tokenizer
  from diffusers import DDPMScheduler, IFPipeline, IFSuperResolutionPipeline, UNet2DConditionModel
  from diffusers.pipelines.deepfloyd_if.safety_checker import IFSafetyChecker
label_desc: Use image node_id 6 for calling a global function with example usage: convert_safety_checker(p_head_path, w_head_path) and returns: safety_checker