code: def test_prompt_embeds(self):
      components = self.get_dummy_components()
      pipe = self.pipeline_class(**components)
      pipe.set_progress_bar_config(disable=None)
      pipe.to(torch_device)
  
      inputs = self.get_dummy_inputs(torch_device)
      inputs.pop("prompt")
      inputs["prompt_embeds"] = torch.randn(
          (1, 4, 32), device=torch_device
      )
      pipe(**inputs)
  
imports: import gc
  import unittest
  import numpy
  import torch
  from transformers import CLIPTextConfig, CLIPTextModel, CLIPTokenizer
  import diffusers
  from diffusers import AnimateDiffPipeline, AutoencoderKL, DDIMScheduler, MotionAdapter, UNet2DConditionModel, UNetMotionModel
  from diffusers.utils import is_xformers_available, logging
  from diffusers.utils.testing_utils import numpy_cosine_similarity_distance, require_torch_gpu, slow, torch_device
  from ..pipeline_params import TEXT_TO_IMAGE_BATCH_PARAMS, TEXT_TO_IMAGE_PARAMS
  from ..test_pipelines_common import PipelineTesterMixin
label_desc: Use image node_id 8 for calling the AnimateDiffPipelineFastTests obj's underlying member method code with example usage: obj.test_prompt_embeds() without return types