[feat] Stable Audio Open 1.0: T2A + A2A + RePaint inpainting (native) (#1260)

This commit is contained in:
William Lin
2026-05-01 00:07:11 -07:00
committed by GitHub
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# SPDX-License-Identifier: Apache-2.0
"""Stable Audio Open 1.0 — text-to-audio (baseline) example.
User story (game-audio designer, prototyping):
"I'm prototyping a level and I need 6 seconds of background
ambience — gentle wind, distant thunder, a hint of birdsong. I
don't want to dig through a sound library; I want to type what I
hear in my head and get a wav back. If it's wrong I'll iterate
on the prompt. This is the first stop."
User story (musician sketching ideas):
"I want to bounce a 30s lo-fi drum loop to use as a placeholder
bed while I build the rest of the track. Type prompt, get audio,
drop into the DAW. The actual production beat I'll record
myself, but I need *something* to write the chords against."
User story (researcher exploring the model):
"First time touching Stable Audio Open — what does it sound
like at default settings? This is the smallest amount of code
that goes from prompt to mp4."
How it works:
Pure text-to-audio (T2A). The pipeline runs:
T5 + NumberConditioner -> StableAudioDiT -> Oobleck VAE
via the `dpmpp-3m-sde` k-diffusion sampler. All components are
FastVideo-native — no diffusers / transformers model imports at
runtime (see REVIEW item 30). Mirrors upstream
`stable_audio_tools.inference.generation.generate_diffusion_cond`
bit-for-bit (~0.2% abs_mean drift on 25 steps).
Tunable knobs (the "creative dials"):
audio_end_in_s
1–6 — quick ideation (sub-10s wall clock at 100 steps)
10–30 — full musical phrase / loop length (the README example
uses 30s)
47.5 — model maximum (full sample_size = 2097152 / 44100 Hz)
num_inference_steps
25 — fast preview, occasional artifacts
100 — preset default (matches the HF model card)
250 — diminishing returns past here
guidance_scale
3 — looser, more variation per seed
7 — preset default; matches README
12+ — sharper but can sound "fried"
Prerequisites:
1. Accept the terms on https://huggingface.co/stabilityai/stable-audio-open-1.0
and export your HF token in the shell:
export HF_TOKEN=hf_...
2. Install optional inference deps (one-time):
pip install k_diffusion einops_exts alias_free_torch torchsde
"""
from fastvideo import VideoGenerator
PROMPT = "Lo-fi hip hop instrumental with vinyl crackle and gentle piano."
def main() -> None:
generator = VideoGenerator.from_pretrained(
"FastVideo/stable-audio-open-1.0-Diffusers",
num_gpus=1,
)
output_path = "outputs_audio/stable_audio_basic/output_stable_audio.wav"
generator.generate_video(
prompt=PROMPT,
output_path=output_path,
save_video=True,
# 6-second clip; the model max is ~47.5s.
audio_end_in_s=6.0,
# The registered preset gives 100 steps + CFG=7.0 by default;
# override num_inference_steps / guidance_scale here for QA.
)
generator.shutdown()
if __name__ == "__main__":
main()