code: def test_stable_diffusion(self):
      model = UNetModel()
      derandomize_model(model)
  
      @TinyJit
      def test(t, t2):
          return model(t, 801, t2).realize()
  
      helper_test(
          "test_sd",
          lambda: (
              Tensor.randn(1, 4, 64, 64),
              Tensor.randn(1, 77, 768),
          ),
          test,
          18.0,
          953,
      )
  
imports: import unittest, time, gc
  import numpy
  from tinygrad.tensor import Tensor
  from tinygrad.nn import optim
  from tinygrad.nn.state import get_parameters
  from tinygrad.jit import TinyJit
  from tinygrad import Device, GlobalCounters, dtypes
  from tinygrad.helpers import CI
  from tinygrad.shape.symbolic import Variable
  from extra.lr_scheduler import OneCycleLR
  from test.helpers import derandomize_model
  from examples.gpt2 import Transformer, MODEL_PARAMS
  from examples.hlb_cifar10 import SpeedyResNet, hyp
  from examples.llama import Transformer, MODEL_PARAMS
  from examples.stable_diffusion import UNetModel, ResBlock
label_desc: Use image node_id 3 for calling the TestRealWorld obj's underlying member method code with example usage: obj.test_stable_diffusion() and returns: model