float16)
>>> pipe = pipe.to("cuda")

>>> # Get text embedding vectors
>>> prompt_embeds, attention_mask, generated_prompt_embeds = pipe.encode_prompt(
...     prompt="Techno music with a strong, upbeat tempo and high melodic riffs",
...     device="cuda",
...     do_classifier_free_guidance=True,
... )

>>> # Pass text embeddings to pipeline for text-conditional audio generation
>>> audio = pipe(
...     prompt_embeds=prompt_embeds,
...     att