vh
10d379db5b
Curly apostrophes (ratatoskr's LLM emits typographic punctuation) made dots
mispronounce contractions ("Donut's"->"donut ess"); fold curly->ASCII before
synth, keep normalize_text on. Add server-side sentence-chunking so long turns
stop truncating at dots' ~40s single-generate cap (verified full 160s Zev).
Dockerfile: pin dots.tts==0.2.1 + torch/torchaudio==2.8.0 (upstream constraints
now pin a phantom gradio==6.17.0; float torchaudio->2.11.0 crashes the load).
32 lines
2.0 KiB
Bash
32 lines
2.0 KiB
Bash
# dots-tts stack tunables. Copy to `.env` on irv-ml1 before deploying.
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# ── image ────────────────────────────────────────────────────────────
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# v2 (2026-08-10): curly->ASCII sanitize (fixes "Donut's"->"donut ess" on
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# typographic apostrophes) + server-side sentence-chunking (long turns no longer
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# truncate at dots' ~40s single-generate cap).
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DOTS_TAG=v2
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# ── network ──────────────────────────────────────────────────────────
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DOTS_BIND=0.0.0.0
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DOTS_PORT=8198
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# ── GPU ──────────────────────────────────────────────────────────────
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# 0 = 3090 in Docker (PCI order), co-resident with chatterbox-fast. soar needs
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# ~6GB; the 3090 has headroom with Zonos parked down.
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DOTS_GPU_DEVICES=0
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# ── model / inference ────────────────────────────────────────────────
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DOTS_MODEL=dots-studio/dots.tts-soar
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DOTS_DEFAULT_VOICE=donut
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DOTS_NUM_STEPS=10 # 10 = full quality @ RTF ~0.22; lower = faster/rougher
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DOTS_GUIDANCE_SCALE=1.2
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DOTS_CHUNK_MAX_CHARS=280 # max chars per generate() chunk (dots caps ~40s/~500 patches)
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# ── host mounts ──────────────────────────────────────────────────────
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# HF cache holding the downloaded soar snapshot (~5GB). Reuse the burn-in cache.
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DOTS_HFCACHE_DIR=/home/lkraven/dots-tts/hf_cache
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# dots-derived voice references (derive.py dots -> derived/dots/<name>.{wav,txt}).
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# Burn-in points at the corpus output directly; for a durable deploy, copy the
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# derived set to /opt/docker/conf/dots-tts/voices and point here.
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DOTS_VOICES_HOST_DIR=/home/lkraven/voice-corpus/derived/dots
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