Stable Audio 3

stable-audio-3-small-music-audio-to-audio

Stable Audio 3 Small Music audio-to-audio is a 459 million parameter latent diffusion model that transforms input music into new variations up to 2 minutes guided by text prompts.

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Details

Accepts: audio

Pricing

Price: 3.1 cr / clip

Prices in credits (1 credit = $0.01).

Data schema

Input

Field	Type	Description
seed	—	Random seed for reproducible outputs. Omit for a random seed.
promptrequired	string	Text description guiding how the source audio should be transformed.
bitrate	string	Audio bitrate for compressed output formats (e.g., mp3, aac, opus). Format e.g. '192k' or '320k'. Ignored for lossless formats (wav, flac).
duration	number	Duration of the generated audio in seconds.
audio_urlrequired	string	Source audio to transform.
sync_mode	boolean	If True, the audio is returned inline as a data URI and the result is not saved to the request history.
output_format	stringenum: mp3, wav, flac, ogg, opus, m4a…	Container format for the generated audio output.
guidance_scale	number	Classifier-free guidance scale. Higher values follow the prompt more strictly. Only effective on base (non-distilled) checkpoints.
negative_prompt	string	Text description of qualities to avoid in the output.
init_noise_level	number	How much noise to add to the source audio. 1.0 fully replaces the audio with noise (pure generation); 0.1 keeps the source close to the input. 0.5 sits halfway between.
num_inference_steps	integer	Number of sampling steps. Post-trained (distilled) checkpoints look good with the default 8 and gain little from going higher.
enable_safety_checker	boolean	Enable NSFW content safety checking.
enable_prompt_expansion	boolean	If True, the prompt will be expanded using an LLM for more detailed and higher quality results.

Output

Field	Type	Description
seed	integer	The random seed used for generation.
audio	—	The generated audio clip.
prompt	string	The prompt used for generation.