code: def dummy_decoder(self):
      torch.manual_seed(0)
  
      model_kwargs = {
          "c_cond": self.text_embedder_hidden_size,
          "c_hidden": [320],
          "nhead": [-1],
          "blocks": [4],
          "level_config": ["CT"],
          "clip_embd": self.text_embedder_hidden_size,
          "inject_effnet": [False],
      }
  
      model = WuerstchenDiffNeXt(**model_kwargs)
      return model.eval()
  
imports: import unittest
  import numpy
  import torch
  from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
  from diffusers import DDPMWuerstchenScheduler, WuerstchenCombinedPipeline
  from diffusers.pipelines.wuerstchen import PaellaVQModel, WuerstchenDiffNeXt, WuerstchenPrior
  from diffusers.utils.testing_utils import enable_full_determinism, require_torch_gpu, torch_device
  from ..test_pipelines_common import PipelineTesterMixin
label_desc: Use image node_id 7 for calling the WuerstchenCombinedPipelineFastTests obj's underlying member method code with example usage: obj.dummy_decoder() and returns: model