code: def dummy_vq_model(self):
      torch.manual_seed(0)
      model = VQModel(
          block_out_channels=[32, 64],
          in_channels=3,
          out_channels=3,
          down_block_types=["DownEncoderBlock2D", "DownEncoderBlock2D"],
          up_block_types=["UpDecoderBlock2D", "UpDecoderBlock2D"],
          latent_channels=3,
      )
      return model
  
file_path: llmga/llmga/diffusers/tests/pipelines/latent_diffusion/test_latent_diffusion_uncond.py
imports: import unittest
  import numpy
  import torch
  from transformers import CLIPTextConfig, CLIPTextModel
  from diffusers import DDIMScheduler, LDMPipeline, UNet2DModel, VQModel
  from diffusers.utils.testing_utils import enable_full_determinism, nightly, require_torch, torch_device
label_desc: Use image node_id 2 for calling the LDMPipelineFastTests obj's underlying member method code with example usage: obj.dummy_vq_model() and returns: model