code: def load_demo_image():
      url = "https://raw.githubusercontent.com/salesforce/LAVIS/main/docs/_static/Confusing-Pictures.jpg"
      image = Image.open(requests.get(url, stream=True).raw).convert(
          "RGB"
      )
  
      return image
  
file_path: transformers/src/transformers/models/instructblip/convert_instructblip_original_to_pytorch.py
imports: import argparse
  import requests
  import torch
  from lavis.models import load_model_and_preprocess
  from PIL import Image
  from transformers import AutoTokenizer, BlipImageProcessor, InstructBlipConfig, InstructBlipForConditionalGeneration, InstructBlipProcessor, InstructBlipQFormerConfig, InstructBlipVisionConfig, LlamaConfig, LlamaTokenizerFast, T5Config, T5TokenizerFast
  from transformers.utils.constants import OPENAI_CLIP_MEAN, OPENAI_CLIP_STD
label_desc: Use image node_id 1 for calling a global function with example usage: load_demo_image() and returns: image