s[0], rate=pipe.mel.get_sample_rate()))  For other tasks like variation, inpainting, outpainting, etc:   Copied output = pipe(
    raw_audio=output.audios[0, 0],
    start_step=int(pipe.get_default_steps() / 2),
    mask_start_secs=1,
    mask_end_secs=1,
)
display(output.images[0])
display(Audio(output.audios[0], rate=pipe.mel.get_sample_rate()))  encode  < source > ( images: typing.List[PIL.Image.Image] steps: int = 50  ) → np.ndarray  Parame