code: def create_payload():
      shape = [2, 2]
      n = shape[0] * shape[1] * 4
  
      metadata = {
          f"weight_{i}": {
              "dtype": "F32",
              "shape": shape,
              "data_offsets": [0, n],
          }
          for i in range(1000 * 1000 * 10)
      }
  
      binary = json.dumps(metadata).encode("utf-8")
      n = len(binary)
      n_header = n.to_bytes(8, "little")
  
      with open(filename, "wb") as f:
          f.write(n_header)
          f.write(binary)
          f.write(b"\0" * n)
  
imports: import datetime
  import json
  import os
  from safetensors.torch import load_file
label_desc: Use image node_id 1 for calling a global function with example usage: create_payload() without return types