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16d018ff96
Adds the three premier 2026 TTS releases we missed during the original
fleet build-out (early April), all licensed for self-host:
* Fish Audio S2-Pro (port 8195, GPU 1 / A6000) — released 2026-03-09.
4B dual-AR (Slow + Fast) trained on 10M+ hours / 80+ languages.
Headline: 15,000+ paralinguistic / emotion tags via natural language
([laugh] [whispers] [super happy] etc.) — a step-function over
Chatterbox Turbo's 9 fixed tags. 91.61% paralinguistic win rate on
EmergentTTS-Eval. ~150 ms streaming TTFB, voice cloning, MIT-style
open. ~17 GB VRAM.
* Voxtral TTS (port 8197, GPU 1 / A6000) — Mistral, released 2026-03-28.
4B open-weight, 70 ms model latency, 9.7× realtime. 68.4% blind A/B
win rate vs ElevenLabs Flash v2.5 in cloning. 8 languages
(EN/FR/DE/ES/IT/PT/NL/HI). Served via vLLM-Omni (Mistral's partner
serving stack) — published Docker image, no local build. ~16 GB VRAM.
CC BY-NC license — personal/research use only; flagged in README.
* Kyutai TTS (port 8198, GPU 0 / 3090) — kyutai/tts-1.6b-en_fr.
Trained on 2.5M hours from the Moshi/Mimi team. Claimed 220 ms in
solo setup, 32 simultaneous streams under 350 ms on L40. Kyutai's
official deploy is Rust + websockets only; using NillPointer's
community OpenAI-compat wrapper to bridge to /v1/audio/speech so
it slots into the same bench harness. ~4-6 GB VRAM.
Each stack: compose.yaml (build context, env, volumes, healthcheck,
homepage label), .env.example (all tunables documented), README.md
(why it exists, headline numbers, API, deploy + hardware notes).
Playbooks at playbooks/deploy-{fish-s2,voxtral,kyutai-tts}.yaml are
idempotent in the same shape as the existing deploy-vibevoice /
deploy-chatterbox playbooks.
Port allocations on irv-ml1 after this lands: 8188 ComfyUI, 8190
CosyVoice, 8191 Qwen3-TTS, 8192 IndexTTS-2, 8193 Kokoro, 8194
VibeVoice, 8195 Fish, 8196 Chatterbox, 8197 Voxtral, 8198 Kyutai,
8765 Parakeet ASR.
33 lines
1.7 KiB
Bash
33 lines
1.7 KiB
Bash
# Kyutai TTS stack tunables. Copy to `.env` on irv-ml1 before
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# deploying.
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# ── build pin ────────────────────────────────────────────────────────
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# SHA of NillPointer/Kyutai-TTS-Server to build from. Use the FULL
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# 40-char SHA — docker buildx's git source resolver doesn't accept
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# short hashes.
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KYUTAI_TTS_SHA=main
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# Local image tag — bump when you change build context to force a
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# fresh layer build.
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KYUTAI_TTS_TAG=v1
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# Kyutai model on HF. Available variants:
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# kyutai/tts-1.6b-en_fr — bilingual EN/FR, 1.6B params (default)
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# kyutai/pocket-tts — 100M, CPU-realtime, EN-only (lighter alt)
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KYUTAI_TTS_MODEL=kyutai/tts-1.6b-en_fr
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# ── network ──────────────────────────────────────────────────────────
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KYUTAI_TTS_PORT=8198
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KYUTAI_TTS_BIND=0.0.0.0
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# ── runtime / GPU ────────────────────────────────────────────────────
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# GPU pinning. "0" = RTX 3090 (24 GB), "1" = RTX A6000 (48 GB).
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# 1.6B Kyutai needs ~4-6 GB practical, fits comfortably on either.
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# Pinned to GPU 0 (3090) by default since the A6000 is hosting the
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# heavier Fish S2-Pro / Voxtral.
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KYUTAI_TTS_GPU_DEVICES=0
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# ── persistent storage on the host ───────────────────────────────────
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KYUTAI_TTS_CACHE_DIR=/worktank/kyutai-tts/hf_cache
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KYUTAI_TTS_VOICES_DIR=/worktank/kyutai-tts/voices
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