port Audio
from diffusers import DiffusionPipeline

device = "cuda" if torch.cuda.is_available() else "cpu"
pipe = DiffusionPipeline.from_pretrained("teticio/audio-diffusion-ddim-256").to(device)

output = pipe()
display(output.images[0])
display(Audio(output.audios[0], rate=pipe.mel.get_sample_rate()))

Variations, in-painting, out-painting etc.
	


	Copied
output = pipe(
    raw_audio=output.audios[0, 0],
    start_step=int(pipe.get_default_s