qwen3-tts: add stack + deploy playbook for irv-ml1

Alibaba's open-weight TTS (Apache 2.0, Jan 2026), deployed via
groxaxo/Qwen3-TTS-Openai-Fastapi wrapper. Built locally from a
pinned git SHA via docker buildx's git context — no source
vendored. 1.7B flagship model by default; 0.6B available via
QWEN3_TTS_MODEL env override.

Why we need a second TTS stack: cosyvoice 3 emits Chinese phonemes
for English content per upstream FunAudioLLM/CosyVoice#1790
(unfixed). Qwen3-TTS is from the same Alibaba team but with
English first-class in the checkpoint — 10 languages, 97 ms
streaming TTFB, instruction-driven emotion. Coexists with cosyvoice
on irv-ml1 (port 8191; cosyvoice keeps 8190).

Voice cloning shape DIFFERS from cosyvoice: profile-based, not
voice-id. Profiles live under voice_library/profiles/<name>/ and
are referenced as voice="clone:<name>".

Path layout: /worktank/qwen3-tts/{cache,voices}/, with cache excluded
from restic (regenerable from HF Hub) and voices included (cloned
profiles need original reference audio to recreate).

playbooks/deploy-qwen3-tts.yaml: 10 steps + 5 verify, idempotent;
the wait step polls /health for up to ~10 min to absorb first-run
model download.

Stack only — restic profile update for /worktank/qwen3-tts/voices/
to follow when this is empirically validated against the GLaDOS
voice (the "did Qwen inherit the Chinese-bias bug?" question).

stacks/qwen3-tts/compose.yaml

@@ -0,0 +1,63 @@
+# Qwen3-TTS — Alibaba's open-weight TTS, deployed via the
+# groxaxo/Qwen3-TTS-Openai-Fastapi wrapper.
+#
+# Why this stack exists alongside cosyvoice: CosyVoice 3 emits
+# Chinese phonemes for non-Chinese inputs (upstream issue
+# FunAudioLLM/CosyVoice#1790, no fix). Qwen3-TTS is from the same
+# Alibaba team but with English first-class — 10 languages, 97 ms
+# streaming TTFB, voice cloning, instruction-driven emotional
+# expression. Released Jan 2026, Apache 2.0.
+#
+# Build: no prebuilt image; pinned to a SHA via docker buildx's git
+# context URL so subsequent rebuilds are reproducible. ~5–10 min on
+# first build (CUDA torch + transformers).
+#
+# Model: 1.7B flagship (~6–8 GB VRAM with bfloat16) by default; the
+# host has plenty of VRAM. Switch to the 0.6B in .env if you ever
+# need more headroom.
+#
+# Voice cloning shape DIFFERS from cosyvoice: profile-based, not
+# voice-id. Profiles live under voice_library/profiles/<name>/ with
+# meta.json + reference.wav, and are referenced as
+# `voice="clone:<name>"` in /v1/audio/speech requests.
+#
+# All tunables live in .env — edit that, not this file.
+
+services:
+  qwen3-tts:
+    image: local/qwen3-tts:${QWEN3_TTS_TAG}
+    build:
+      context: https://github.com/groxaxo/Qwen3-TTS-Openai-Fastapi.git#${QWEN3_TTS_SHA}
+      dockerfile: Dockerfile
+    container_name: qwen3-tts
+    restart: unless-stopped
+    runtime: nvidia
+    ports:
+      - "${QWEN3_TTS_BIND:-0.0.0.0}:${QWEN3_TTS_PORT}:8880"
+    environment:
+      - NVIDIA_VISIBLE_DEVICES=all
+      - PORT=8880
+      - TTS_BACKEND=${QWEN3_TTS_BACKEND:-official}
+      - TTS_MODEL_NAME=${QWEN3_TTS_MODEL:-Qwen/Qwen3-TTS-12Hz-1.7B}
+      - TTS_WARMUP_ON_START=${QWEN3_TTS_WARMUP:-true}
+      - TTS_MAX_CONCURRENT=${QWEN3_TTS_MAX_CONCURRENT:-1}
+      - ENABLE_VOICE_STUDIO=${QWEN3_TTS_VOICE_STUDIO:-true}
+      - VOICE_LIBRARY_DIR=/root/qwen3-tts/voice_library
+      - HF_HOME=/root/.cache/huggingface
+    volumes:
+      - ${QWEN3_TTS_CACHE_DIR}:/root/.cache/huggingface
+      - ${QWEN3_TTS_VOICES_DIR}:/root/qwen3-tts/voice_library
+    healthcheck:
+      test: ["CMD-SHELL", "curl -fsS http://localhost:8880/health >/dev/null || exit 1"]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      # First boot pulls torch + Qwen3-TTS-12Hz-1.7B (~6 GB) and
+      # optionally warms the model — give it a generous budget.
+      start_period: 600s
+    labels:
+      - homepage.group=AI Systems
+      - homepage.name=Qwen3-TTS
+      - homepage.icon=mdi-account-voice
+      - homepage.description=Multilingual TTS with English-first emotion (irv-ml1)
+      - homepage.href=http://10.100.79.3:${QWEN3_TTS_PORT}