code: def text_embedder_hidden_size(self):
      return 32
  
imports: import unittest
  import numpy
  import torch
  import torch.nn
  import torch.nn.functional
  from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
  from diffusers import DDPMWuerstchenScheduler, WuerstchenPriorPipeline
  from diffusers.loaders import AttnProcsLayers
  from diffusers.models.attention_processor import LoRAAttnProcessor, LoRAAttnProcessor2_0
  from diffusers.pipelines.wuerstchen import WuerstchenPrior
  from diffusers.utils.import_utils import is_peft_available
  from diffusers.utils.testing_utils import enable_full_determinism, require_peft_backend, skip_mps, torch_device
  from ..test_pipelines_common import PipelineTesterMixin
label_desc: Use image node_id 1 for calling the WuerstchenPriorPipelineFastTests obj's underlying member method code with example usage: obj.text_embedder_hidden_size() and returns: int