code: def test_mini_stable_diffusion(self):
      model = [ResBlock(16, 24, 16) for _ in range(4)]
      derandomize_model(model)
  
      @TinyJit
      def test(t, t2):
          for l in model:
              t = l(t, t2)
          return t.realize()
  
      helper_test(
          "test_mini_sd",
          lambda: (Tensor.empty(4, 16, 8, 8), Tensor.empty(1, 24)),
          test,
          0.01,
          43,
      )
  
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 4 for calling the TestRealWorld obj's underlying member method code with example usage: obj.test_mini_stable_diffusion() and returns: t