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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.
100 lines
3.5 KiB
YAML
100 lines
3.5 KiB
YAML
# Deploy Fish Audio S2-Pro (richest paralinguistic open-source TTS) to
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# irv-ml1.
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#
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# Builds the image locally from fishaudio/fish-speech via docker buildx
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# git URL context. ~10-15 min cold build (CUDA 12.x + torch + flash-attn
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# + Fish's training/inference deps). First start downloads s2-pro
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# (~9 GB BF16) into the bind-mounted HF cache. Generous /v1/health
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# wait deadline accommodates both.
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#
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# Usage:
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# scripts/elway irv-ml1 --playbook playbooks/deploy-fish-s2.yaml
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#
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# Idempotent — every step is creates-/when-gated; rerun is safe.
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vars:
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compose_dir: /opt/docker/compose/fish-s2
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references_dir: /worktank/fish-s2/references
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checkpoints_dir: /worktank/fish-s2/checkpoints
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cache_dir: /worktank/fish-s2/hf_cache
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host_port: "8195"
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steps:
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# ── host-side dirs ──────────────────────────────────────────────────
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- name: Ensure /worktank/fish-s2 root exists (one-time, sudo)
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shell: mkdir -p /worktank/fish-s2
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sudo: true
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creates: /worktank/fish-s2
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- name: Chown /worktank/fish-s2 to lkraven
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shell: chown -R lkraven:lkraven /worktank/fish-s2
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sudo: true
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when: "[ \"$(stat -c %U /worktank/fish-s2)\" != \"lkraven\" ]"
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- name: Ensure references dir exists
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shell: mkdir -p {{ references_dir }}
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creates: "{{ references_dir }}"
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- name: Ensure checkpoints dir exists
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shell: mkdir -p {{ checkpoints_dir }}
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creates: "{{ checkpoints_dir }}"
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- name: Ensure HF cache dir exists
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shell: mkdir -p {{ cache_dir }}
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creates: "{{ cache_dir }}"
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- name: Ensure compose dir exists
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shell: mkdir -p {{ compose_dir }}
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creates: "{{ compose_dir }}"
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# ── deploy compose + env ────────────────────────────────────────────
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- name: Upload compose.yaml
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upload:
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src: stacks/fish-s2/compose.yaml
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dest: "{{ compose_dir }}/compose.yaml"
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mode: "0644"
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- name: Seed .env from template (only if absent)
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upload:
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src: stacks/fish-s2/.env.example
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dest: "{{ compose_dir }}/.env"
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mode: "0644"
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when: "[ ! -f {{ compose_dir }}/.env ]"
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# ── build + bring up ────────────────────────────────────────────────
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- name: docker compose build (~10-15 min first time; cached after)
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shell: |
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set -o pipefail
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cd {{ compose_dir }} && docker compose build 2>&1 \
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| grep -vE '^#[0-9]+ |^ => |^=> |Collecting|Downloading|Requirement|Using cached|Installing collected|Successfully (installed|built)|━'
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- name: docker compose up -d
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shell: cd {{ compose_dir }} && docker compose up -d
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- name: Wait for /v1/health to respond (allow ~15 min for first model download + warmup)
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shell: |
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for i in $(seq 1 180); do
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curl -sf -o /dev/null --max-time 3 http://localhost:{{ host_port }}/v1/health && exit 0
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sleep 5
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done
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exit 1
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changed_when: "false"
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verify:
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- name: /v1/health returns 200
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shell: curl -sf -o /dev/null http://localhost:{{ host_port }}/v1/health
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changed_when: "false"
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- name: /v1/audio/voices returns valid JSON
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shell: |
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curl -sf http://localhost:{{ host_port }}/v1/audio/voices \
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| python3 -c "import json,sys; json.load(sys.stdin)"
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changed_when: "false"
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- name: Container is running
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shell: docker inspect fish-s2 --format '{{.State.Status}}' | grep -q running
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changed_when: "false"
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