vh
9835fd47eb
qwen3-tts: deploy was using the -Base checkpoint, which sounds like
the right one ("supports voice cloning") but the upstream wrapper's
only synthesis path goes through generate_custom_voice. The -Base
variant doesn't expose that, so every request — including ones with
the wrapper's listed built-in voices like Ryan/Vivian — errored with
"does not support generate_custom_voice". The -CustomVoice variant
exposes both the cloning machinery and the preset voices, and is
what the wrapper actually needs.
The .env.example comments had the variant labels backward; fixed in
this commit. Live host already updated to -CustomVoice via direct
.env edit (model downloaded on container restart).
chatterbox README listed [whisper] and [breath] as supported tags —
those are in the base Chatterbox tag set but NOT in the Turbo set
that's actually loaded. Replaced with the canonical 9-tag list
verified against /api/model-info: laugh, chuckle, sigh, gasp, cough,
clear throat, sniff, groan, shush.
68 lines
3.6 KiB
Bash
68 lines
3.6 KiB
Bash
# Qwen3-TTS stack tunables. Copy to `.env` on irv-ml1 before deploying.
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# ── build pin ────────────────────────────────────────────────────────
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# SHA of groxaxo/Qwen3-TTS-Openai-Fastapi to build from. Bump + rebuild
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# when you want upstream wrapper updates.
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QWEN3_TTS_SHA=10323ce778c48a75dbda93d0a4891983fb371f58
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# Local image tag — bump when you change build context to force a
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# fresh layer build. v2 = first GPU build (target=production); v1
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# was the accidental CPU-only image (last stage of upstream's
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# multi-stage Dockerfile).
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QWEN3_TTS_TAG=v2
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# ── network ──────────────────────────────────────────────────────────
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# Host port (container listens on 8880 internally).
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QWEN3_TTS_PORT=8191
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# Bind address. 0.0.0.0 exposes on all interfaces (incl. WG tunnel
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# interface 10.100.79.3); 127.0.0.1 restricts to local-only.
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QWEN3_TTS_BIND=0.0.0.0
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# ── runtime ──────────────────────────────────────────────────────────
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# Inference backend. `official` = default upstream; `optimized` =
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# faster but slightly less robust; `vllm_omni` = vLLM-backed (needs
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# more VRAM); `pytorch` = bare pytorch path.
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QWEN3_TTS_BACKEND=official
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# Model variant. Upstream publishes four checkpoints on HF:
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# Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice — flagship, supports voice cloning + preset voices (RECOMMENDED)
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# Qwen/Qwen3-TTS-12Hz-1.7B-Base — flagship, foundation only — REJECTS all synthesis through this wrapper
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# Qwen/Qwen3-TTS-12Hz-0.6B-CustomVoice — lightweight cloning-capable variant
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# Qwen/Qwen3-TTS-12Hz-0.6B-Base — lightweight foundation only
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# 1.7B = ~6–8 GB VRAM bfloat16, best quality. 0.6B = ~2–3 GB.
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#
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# IMPORTANT: the wrapper's only synthesis code path goes through the
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# voice cloning machinery. The -Base variants do NOT expose
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# generate_custom_voice; they error with "does not support
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# generate_custom_voice" on every request, no matter what voice you
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# specify (built-ins like Ryan, Vivian etc. count as custom voices).
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# Use -CustomVoice. The Base variant is foundation-model territory
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# that needs a different harness to be useful.
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# (This file had the labels backwards through 2026-04-27 — fixed
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# after the 2026-04-27 voice-fleet bench surfaced the failure mode.)
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QWEN3_TTS_MODEL=Qwen/Qwen3-TTS-12Hz-1.7B-CustomVoice
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# Warm the model on container start so the first synthesis request
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# doesn't pay the load latency. Adds ~30 s to startup. Recommended.
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QWEN3_TTS_WARMUP=true
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# Concurrency cap on synthesis requests. Single GPU + 1.7B model →
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# leave at 1 unless you're load-testing.
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QWEN3_TTS_MAX_CONCURRENT=1
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# Mount the gradio voice-studio UI at /voice-studio for browser-side
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# voice cloning. Set "false" to disable for headless deployments.
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QWEN3_TTS_VOICE_STUDIO=true
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# ── persistent storage on the host ───────────────────────────────────
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# HuggingFace cache (model weights, ~5 GB after first run). Bind-mounted
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# so model state survives container recreate. Excluded from restic
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# (regenerable from HF Hub).
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QWEN3_TTS_CACHE_DIR=/worktank/qwen3-tts/cache
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# Cloned voice profiles (meta.json + reference.wav per voice). Precious
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# — cloned voices need the original reference audio to recreate.
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# Included in restic.
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QWEN3_TTS_VOICES_DIR=/worktank/qwen3-tts/voices
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