vh
e0d1c44137
The 2026-09-06 headscale cutover retired irv-ml1's wg0 tunnel IP 10.100.79.3 (now 10.6.110.50). Repointed all LIVE canonical refs to the DNS NAME so the next move can't re-break them: homepage.href/siteMonitor labels across 25 stack composes, load-bearing env defaults (asset-engine INFERENCE_HOST, open-webui AUDIO_TTS_OPENAI_API_BASE_URL, skaldsong SKALDSONG_TTS_BASE_URL, zonos-gateway ZONOS_URL, dia), homepage services.yaml manual cards (Voice Design Studio, IRV-ML1), and servers/irv-ml1/ssh-target. Updated the stale 'WG tunnel' comment to the mesh reality. Left as-is: README curl-examples and .env.example comments (docs), and historical mentions in CLAUDE.md/persistent-memory. NOTE: applying the label repoints to the RUNNING irv-ml1 containers needs a recreate per service (labels read at creation); deployed .env values are separate from these canonical defaults.
62 lines
2.6 KiB
YAML
62 lines
2.6 KiB
YAML
# Stable Audio Open 1.0 — Stability AI's open-weight latent-diffusion
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# SFX/ambience generator. 1.21B params, ~4-6 GB VRAM in fp16, up to
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# 47 s clips at 44.1 kHz. Strong on text-aligned sound effects, foley,
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# field-recording-style ambience. NOT a music model — it does not
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# generate intelligible vocals or structured songs (use ACE-Step for
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# that).
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#
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# LICENSE: Stability AI Community License. Personal / research use is
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# free; commercial use requires a separate license from Stability
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# (https://stability.ai/license). Same posture we already accepted
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# for Voxtral.
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#
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# No upstream Docker image — we ship a custom Dockerfile + a small
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# FastAPI shim (server.py) that wraps diffusers' StableAudioPipeline
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# and exposes POST /v1/audio/sfx.
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#
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# All tunables live in .env — edit that, not this file.
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services:
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stable-audio-open:
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image: local/stable-audio-open:${SAO_TAG}
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build:
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# Build context is the compose dir on the host — the playbook
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# uploads server.py + Dockerfile alongside this compose.yaml.
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context: .
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dockerfile: Dockerfile
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container_name: stable-audio-open
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restart: unless-stopped
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runtime: nvidia
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ports:
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- "${SAO_BIND:-0.0.0.0}:${SAO_PORT}:8000"
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environment:
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- NVIDIA_VISIBLE_DEVICES=${SAO_GPU_DEVICES:-1}
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- SAO_MODEL=${SAO_MODEL:-stabilityai/stable-audio-open-1.0}
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- HF_HOME=/app/hf_cache
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# Model is gated on HuggingFace (you must accept the Stability
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# Community License once on the model page before the token can
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# download it). Set SAO_HF_TOKEN in .env. Without this, the
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# first model download 401s and the container crashloops.
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- HF_TOKEN=${SAO_HF_TOKEN}
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volumes:
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- ${SAO_CACHE_DIR}:/app/hf_cache
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- ${SAO_OUTPUTS_DIR}:/app/outputs
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healthcheck:
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# /health is set by server.py — returns 200 once FastAPI is up
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# AND the pipeline finished loading (lifespan blocks startup
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# until the model is in VRAM).
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test: ["CMD-SHELL", "python -c \"import urllib.request,sys; sys.exit(0 if urllib.request.urlopen('http://127.0.0.1:8000/health', timeout=5).status==200 else 1)\""]
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interval: 30s
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timeout: 10s
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retries: 3
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# First boot pulls the model (~6 GB) into HF cache + loads to
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# VRAM. Cold start ~3-5 min on a fast pipe; subsequent starts
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# are ~30 s.
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start_period: 600s
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labels:
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- homepage.group=AI Systems
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- homepage.name=Stable Audio Open
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- homepage.icon=mdi-waveform
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- homepage.description=Diffusion SFX/ambience generator — up to 47s at 44.1 kHz (irv-ml1)
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- homepage.href=http://irv-ml1.nh3.internal:${SAO_PORT}
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