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vh 4a4c09177f ace-step + stable-audio-open: deploy music + SFX generation to irv-ml1

Two new audio-generation stacks alongside the TTS slate:

ace-step :8210 — Apache 2.0 music generation foundation model
(hybrid diffusion + LLM). Lyric-aware multi-minute songs. ~10-12 GB
VRAM during inference, A6000-pinned. Custom Dockerfile patches
upstream's torch/cu126 resolution bug (--extra-index-url cu126 was
falling back to pypi-default cu13 wheels, mismatching torchvision).

stable-audio-open :8211 — Stability AI 1.21B latent-diffusion SFX +
ambience. Up to 47s clips at 44.1 kHz. ~6 GB VRAM in fp16,
A6000-pinned. Custom FastAPI shim around diffusers' StableAudioPipeline
(no upstream HTTP server). Dockerfile pins torchsde explicitly —
diffusers doesn't pull it as a hard dep but
CosineDPMSolverMultistepScheduler needs it.

2026-04-28 09:11:23 -07:00

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stable-audio-open

Stability AI's Stable Audio Open 1.0 — text-to-audio latent diffusion. Strong on SFX, foley, ambience, short loops. Not a music model — it does not generate intelligible vocals or structured songs (use ace-step for that).


host	`irv-ml1`
port	`8211`
GPU	A6000 (`device_ids: ["1"]`)
VRAM	~6 GB in fp16
max clip	47 s at 44.1 kHz
upstream	https://github.com/Stability-AI/stable-audio-tools
model	`stabilityai/stable-audio-open-1.0` (gated)
license	Stability AI Community (non-commercial / personal / research)

API surface

server.py (custom FastAPI shim) exposes:

GET /health — returns 200 once the model is loaded.
POST /v1/audio/sfx — returns a audio/wav blob.

{
  "prompt": "a vintage typewriter clacking in a quiet room",
  "negative_prompt": "Low quality.",   // optional, default "Low quality."
  "duration": 10.0,                     // seconds, 0.5 – 47
  "steps": 100,                         // 10 – 300, more = better quality
  "seed": 42,                           // optional
  "cfg_scale": 7.0                      // 0 – 20
}

Why a custom shim: there's no upstream Docker image and no upstream HTTP server for Stable Audio Open. Diffusers exposes StableAudioPipeline cleanly — the shim is ~70 lines.

Deploy

scripts/elway irv-ml1 --playbook playbooks/deploy-stable-audio-open.yaml

Pre-deploy: visit https://huggingface.co/stabilityai/stable-audio-open-1.0 once and accept the Community License (HF token alone is not enough — the gate is per-model). Then put the token in SAO_HF_TOKEN in .env on the host.

Tunables

See .env.example — copy to .env on the host (lives at /opt/docker/compose/stable-audio-open/.env, gitignored).

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stable-audio-open

API surface

Deploy

Tunables

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