code: def test_jitted_stable_diffusion(self):
      from examples.stable_diffusion import UNetModel
  
      model = UNetModel()
      derandomize_model(model)
  
      def test(t, t2):
          return model(t, 801, t2).realize()
  
      @TinyJit
      def test_jit(t, t2):
          return model(t, 801, t2).realize()
  
      helper_test_jitted_correctness(
          lambda: (
              Tensor.randn(1, 4, 16, 16),
              Tensor.randn(1, 77, 768),
          ),
          test,
          test_jit,
      )
  
file_path: tinygrad/test/external/external_test_jit_on_models.py
imports: import unittest
  import numpy
  from tinygrad import Tensor, dtypes
  from tinygrad.jit import TinyJit
  from tinygrad.helpers import CI
  from test.helpers import derandomize_model
  from examples.llama import Transformer
label_desc: Use image node_id 2 for calling the TestJittedModels obj's underlying member method code with example usage: obj.test_jitted_stable_diffusion() and returns: model, model