=pipe.mel.get_sample_rate()))  encode  < source > ( images: typing.List[PIL.Image.Image] steps: int = 50  ) → np.ndarray  Parameters   images (List[PIL Image]) —
List of images to encode.   steps (int) —
Number of encoding steps to perform (defaults to 50).   Returns 
np.ndarray
  
A noise tensor of shape (batch_size, 1, height, width).
  Reverse the denoising step process to recover a noisy image from the generated image.  get_default_steps  <