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666f7f31e0
dia: Nari Labs dialogue TTS (Dia 1.6B / Dia2-1B / Dia2-2B) via devnen/Dia-TTS-Server — OpenAI-compat, fills the multi-speaker dialogue-scene slot for skaldsong. Port 8200 on irv-ml1. zonos: Zyphra Zonos-v0.1 (Apache-2.0, 44kHz, emotion sliders) via the official Gradio interface. Audition surface only — no OpenAI-compat endpoint yet (needs the FastAPI fork to become skaldsong-pluggable). Port 8199 on irv-ml1. Both follow the chatterbox/fish-s2 convention: local image built from a pinned wrapper SHA via buildx git-context, .env-driven port/GPU, python healthcheck, homepage labels.
57 lines
2.4 KiB
YAML
57 lines
2.4 KiB
YAML
# Zonos-v0.1 (Zyphra's expressive multilingual open-weight TTS) served
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# via the OFFICIAL Zyphra/Zonos repo's Gradio interface.
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#
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# Why this stack exists alongside the other TTS:
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# * Apache-2.0, 44 kHz output, zero-shot voice cloning from a
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# 10-30 s sample, and explicit emotion/conditioning sliders —
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# a different control surface from tag-based engines.
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# * Multilingual (EN/JA/ZH/FR/DE), trained on 200k+ hours.
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# * Cheap to run (~6 GB VRAM, transformer variant ~3.6 GB weights).
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#
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# CAVEAT — this is an AUDITION/EVAL surface, not a skaldsong-pluggable
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# engine yet: the official repo ships a Gradio WebUI + Python SDK, NOT
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# an OpenAI-compatible /v1/audio/speech endpoint. To wire Zonos into
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# skaldsong's router we'd need the community FastAPI fork (Zyphra/Zonos
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# PR #73) or a thin adapter. Bench it by ear first; promote later if it
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# earns a slot.
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#
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# Image is built locally from the upstream repo's Dockerfile via docker
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# buildx git-context. All tunables live in .env — edit that, not this.
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services:
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zonos:
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image: local/zonos:${ZONOS_TAG}
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build:
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# Single Dockerfile at repo root; bundles espeak-ng (required for
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# Zonos's eSpeak phonemization).
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context: https://github.com/Zyphra/Zonos.git#${ZONOS_SHA}
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dockerfile: Dockerfile
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container_name: zonos
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restart: unless-stopped
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runtime: nvidia
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ports:
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- "${ZONOS_BIND:-0.0.0.0}:${ZONOS_PORT}:7860"
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environment:
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- NVIDIA_VISIBLE_DEVICES=${ZONOS_GPU_DEVICES:-0}
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- NVIDIA_DRIVER_CAPABILITIES=compute,utility
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# Make Gradio bind all interfaces inside the container so the host
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# port-map reaches it (Gradio otherwise may bind 127.0.0.1 only).
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- GRADIO_SERVER_NAME=0.0.0.0
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- HF_HOME=/app/hf_cache
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volumes:
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- ${ZONOS_CACHE_DIR}:/app/hf_cache
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healthcheck:
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# No JSON status route on the Gradio app — just probe the root
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# page for liveness. start_period covers the first-boot model pull.
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test: ["CMD-SHELL", "python3 -c \"import urllib.request,sys; urllib.request.urlopen('http://127.0.0.1:7860/', timeout=5); sys.exit(0)\""]
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interval: 30s
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timeout: 10s
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retries: 3
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start_period: 600s
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labels:
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- homepage.group=AI Systems
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- homepage.name=Zonos
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- homepage.icon=mdi-waveform
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- homepage.description=Expressive multilingual TTS + cloning, 44kHz (Gradio eval, irv-ml1)
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- homepage.href=http://10.100.79.3:${ZONOS_PORT}
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