ne
eta: float = 0
noise: Tensor = None
encoding: Tensor = None
return_dict = True

)
→
List[PIL Image]

Parameters 

batch_size (int) — number of samples to generate


audio_file (str) — must be a file on disk due to Librosa limitation or


raw_audio (np.ndarray) — audio as numpy array


slice (int) — slice number of audio to convert


start_step (int) — step to start from


steps (int) — number of de-noising steps (defaults to 50 for DDIM, 100