diff --git a/stacks/dia/.env.example b/stacks/dia/.env.example
new file mode 100644
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+++ b/stacks/dia/.env.example
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+# Dia / Dia2 stack tunables. Copy to `.env` on irv-ml1 before deploying.
+
+# ── build pin ────────────────────────────────────────────────────────
+# SHA of devnen/Dia-TTS-Server. Use the FULL 40-char SHA — docker
+# buildx's git source resolver doesn't accept short hashes. `main`
+# works but is NOT reproducible; pin a SHA before you rely on this in
+# anger (same churn lesson as chatterbox, whose `main` once broke on an
+# upstream path restructure). Latest commits:
+#   https://github.com/devnen/Dia-TTS-Server/commits/main
+DIA_SHA=main
+
+# Local image tag — bump when you change build context to force a
+# fresh layer build.
+DIA_TAG=v1
+
+# ── network ──────────────────────────────────────────────────────────
+# Host port. Container listens on 8003 internally.
+# Reserved on irv-ml1: 8188 ComfyUI, 8190 CosyVoice, 8191 Qwen3-TTS,
+# 8192 IndexTTS-2, 8193 Kokoro, 8194 VibeVoice, 8195 Fish-S2,
+# 8196 Chatterbox, 8197 Voxtral, 8198 Kyutai, 8199 Zonos, 8765 Parakeet.
+# 8200 picked here.
+DIA_PORT=8200
+
+# Bind address. 0.0.0.0 exposes on all interfaces (incl. WG tunnel
+# interface 10.100.79.3); 127.0.0.1 restricts to local-only.
+DIA_BIND=0.0.0.0
+
+# ── runtime / GPU ────────────────────────────────────────────────────
+# Devices visible inside the container. "0" pins to the RTX 3090
+# (24 GB) — Dia at BF16 (~7 GB) fits comfortably. Use "1" for the
+# A6000 if you'd rather keep the 3090 free.
+DIA_GPU_DEVICES=0
+
+# Model selection is config.yaml-driven in the wrapper (model.repo_id),
+# not a plain env var. Default in-image model is Dia 1.6B. To pin a
+# different default, mount a host config.yaml (see commented volume in
+# compose.yaml) setting one of:
+#   nari-labs/Dia-1.6B   — original, single/dual-speaker dialogue
+#   Dia2-1B              — streaming, lower latency
+#   Dia2-2B              — highest quality
+# Or just switch live from the Web UI at http://<host>:8200/ .
+
+# ── persistent storage on the host ───────────────────────────────────
+# Reference audio dir for voice cloning / speaker prompts. Drop short
+# reference WAVs here; the wrapper picks them up by filename. Included
+# in restic (cloned voices need the original reference to recreate).
+DIA_REFERENCE_DIR=/worktank/dia/reference_audio
+
+# HuggingFace cache — Dia/Dia2 checkpoints land here on first start.
+# Bind-mounted so they survive container recreate. Excluded from restic
+# (regenerable from HF).
+DIA_CACHE_DIR=/worktank/dia/cache
+
+# Optional: host config.yaml to pin a default model + generation
+# defaults. Leave commented in compose.yaml unless you want it.
+# DIA_CONFIG=/worktank/dia/config.yaml
diff --git a/stacks/dia/README.md b/stacks/dia/README.md
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--- /dev/null
+++ b/stacks/dia/README.md
@@ -0,0 +1,68 @@
+# Dia / Dia2
+
+Nari Labs' dialogue-focused TTS — generates ultra-realistic
+multi-speaker conversation in a single pass — served via
+[devnen/Dia-TTS-Server](https://github.com/devnen/Dia-TTS-Server), the
+same actively-maintained OpenAI-compat wrapper author as our
+[chatterbox](../chatterbox/) stack. The wrapper carries multi-model
+support for the whole Dia family:
+
+| Model | HF repo | Notes |
+|---|---|---|
+| Dia 1.6B | [nari-labs/Dia-1.6B](https://huggingface.co/nari-labs/Dia-1.6B) | original, dialogue in one pass (in-image default) |
+| Dia2-1B | Nari Labs Dia2 family | streaming, lower latency |
+| Dia2-2B | Nari Labs Dia2 family | highest quality |
+
+Dia2 was released 2025-11-19 ([nari-labs/dia2](https://github.com/nari-labs/dia2)).
+
+**Server:** irv-ml1 (Irvine, WireGuard-only)
+**Port:** 8200 (container listens on 8003)
+**GPUs:** pins to device 0 (RTX 3090) by default; ~7 GB VRAM at BF16
+**Image:** `local/dia:v1` — built locally from a pinned git SHA of the
+wrapper repo via docker buildx's git URL context
+**Upstream wrapper:** [devnen/Dia-TTS-Server](https://github.com/devnen/Dia-TTS-Server) (MIT)
+**Upstream model:** [nari-labs/dia](https://github.com/nari-labs/dia) / [nari-labs/dia2](https://github.com/nari-labs/dia2) (Apache-2.0 weights)
+
+## Why this stack exists
+
+Fills the **dialogue-scene** slot none of the other TTS own cleanly.
+Dia generates multi-speaker turn-taking in one pass with inline `[S1]`/
+`[S2]` speaker tags and nonverbal cues — `(laughs)`, `(coughs)`,
+`(sighs)`, `(clears throat)` — directly in the prompt. That's a
+different shape from the single-speaker engines:
+
+- **Fish S2-Pro / IndexTTS-2 / Chatterbox** are excellent single-voice
+  readers (rich emotion, cloning) but you'd have to stitch turns
+  yourself.
+- **VibeVoice** does long-form multi-speaker but is podcast/narration
+  shaped, not fast turn-taking with nonverbals.
+- **Dia** is the one built for *scene dialogue* — the
+  multi-character-storytelling case skaldsong is aimed at.
+
+OpenAI-compatible (`POST /v1/audio/speech`), so skaldsong can target it
+by base-URL once we add a `dia` engine option to its router.
+
+## Deploy
+
+```bash
+# from this workstation (irv-ml1 is WG-only — routes via ana-wg):
+scripts/deploy-stack.sh irv-ml1 dia
+# then on irv-ml1, first run builds the image from the pinned SHA:
+#   docker compose up -d --build
+```
+
+First boot pulls the checkpoint (~6-10 GB) into `DIA_CACHE_DIR` and can
+take several minutes; the healthcheck's 600 s `start_period` covers it.
+
+## Notes
+
+- **Pin `DIA_SHA`** to a full 40-char commit before relying on this —
+  `.env.example` ships `main` for convenience, but `main` is not
+  reproducible (chatterbox learned this when an upstream restructure
+  broke its `main` build).
+- **Model switching** is config.yaml-driven in the wrapper, or live from
+  the Web UI at `http://10.100.79.3:8200/`. To pin a non-default model
+  declaratively, mount a host `config.yaml` (see the commented volume in
+  `compose.yaml`).
+- Endpoints: `/v1/audio/speech` (OpenAI-compat), `/health` (liveness),
+  `/api/model-status` (download/load progress), `/api/model-info`.
diff --git a/stacks/dia/compose.yaml b/stacks/dia/compose.yaml
new file mode 100644
index 0000000..f14a625
--- /dev/null
+++ b/stacks/dia/compose.yaml
@@ -0,0 +1,67 @@
+# Dia / Dia2 (Nari Labs' dialogue-focused TTS) served via
+# devnen/Dia-TTS-Server — the same OpenAI-compat wrapper author as our
+# chatterbox stack, with multi-model support for the Dia 2 family
+# (Dia 1.6B / Dia2-1B / Dia2-2B), switchable from the Web UI.
+#
+# Why this stack exists alongside the other TTS:
+#   * DIALOGUE scenes with nonverbal cues — Dia generates multi-speaker
+#     turn-taking in a single pass with inline [S1]/[S2] speaker tags
+#     and nonverbals like (laughs), (coughs), (sighs). Purpose-built for
+#     the character-dialogue case skaldsong's storytelling hits, which
+#     the single-speaker engines (Fish/Index/Chatterbox) don't own.
+#   * Dia2 (released 2025-11-19) adds realtime streaming + a 2B
+#     high-quality checkpoint.
+#   * Apache-2.0 model weights; MIT wrapper; OpenAI-compat
+#     /v1/audio/speech so skaldsong can target it by base-URL.
+#   * ~7 GB VRAM at BF16 SafeTensors.
+#
+# Image is built locally from the upstream wrapper via docker buildx
+# git-context (no source vendored on the host) — same pattern as
+# chatterbox/fish-s2.
+#
+# All tunables live in .env — edit that, not this file.
+
+services:
+  dia:
+    image: local/dia:${DIA_TAG}
+    build:
+      # Single Dockerfile at repo root; GPU via NVIDIA Container Toolkit.
+      context: https://github.com/devnen/Dia-TTS-Server.git#${DIA_SHA}
+      dockerfile: Dockerfile
+    container_name: dia
+    restart: unless-stopped
+    runtime: nvidia
+    ports:
+      - "${DIA_BIND:-0.0.0.0}:${DIA_PORT}:8003"
+    environment:
+      - NVIDIA_VISIBLE_DEVICES=${DIA_GPU_DEVICES:-0}
+      - NVIDIA_DRIVER_CAPABILITIES=compute,utility
+      # Speeds the first-boot HF download of the checkpoint.
+      - HF_HUB_ENABLE_HF_TRANSFER=1
+      - HF_HOME=/app/hf_cache
+    volumes:
+      - ${DIA_REFERENCE_DIR}:/app/reference_audio
+      - ${DIA_CACHE_DIR}:/app/hf_cache
+      # Model selection lives in the wrapper's config.yaml (model.repo_id):
+      # mount a host config to pin a default of Dia2-1B / Dia2-2B instead
+      # of the in-image default (Dia 1.6B). Otherwise switch live in the
+      # Web UI (selection may not survive a container recreate).
+      # - ${DIA_CONFIG}:/app/config.yaml
+    healthcheck:
+      # devnen's Dia server exposes GET /health (liveness) plus
+      # /api/model-status (download/load progress) and /api/model-info.
+      # /health is the simple liveness probe; start_period covers the
+      # first-boot model pull. python urllib (image has no curl), bound
+      # to 127.0.0.1 (uvicorn is IPv4-only).
+      test: ["CMD-SHELL", "python3 -c \"import urllib.request,sys; urllib.request.urlopen('http://127.0.0.1:8003/health', timeout=5); sys.exit(0)\""]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      # First boot pulls the checkpoint (~6-10 GB) — generous deadline.
+      start_period: 600s
+    labels:
+      - homepage.group=AI Systems
+      - homepage.name=Dia / Dia2
+      - homepage.icon=mdi-account-voice
+      - homepage.description=Dialogue TTS — multi-speaker turn-taking + nonverbals (irv-ml1)
+      - homepage.href=http://10.100.79.3:${DIA_PORT}
diff --git a/stacks/zonos/.env.example b/stacks/zonos/.env.example
new file mode 100644
index 0000000..ed02dd5
--- /dev/null
+++ b/stacks/zonos/.env.example
@@ -0,0 +1,44 @@
+# Zonos-v0.1 stack tunables. Copy to `.env` on irv-ml1 before deploying.
+
+# ── build pin ────────────────────────────────────────────────────────
+# SHA of Zyphra/Zonos. Use the FULL 40-char SHA — docker buildx's git
+# source resolver doesn't accept short hashes. `main` works but is NOT
+# reproducible; pin a SHA before you rely on this. Latest commits:
+#   https://github.com/Zyphra/Zonos/commits/main
+ZONOS_SHA=main
+
+# Local image tag — bump when you change build context to force a
+# fresh layer build.
+ZONOS_TAG=v1
+
+# ── network ──────────────────────────────────────────────────────────
+# Host port. Container's Gradio listens on 7860 internally.
+# Reserved on irv-ml1: 8188 ComfyUI, 8190 CosyVoice, 8191 Qwen3-TTS,
+# 8192 IndexTTS-2, 8193 Kokoro, 8194 VibeVoice, 8195 Fish-S2,
+# 8196 Chatterbox, 8197 Voxtral, 8198 Kyutai, 8200 Dia, 8765 Parakeet.
+# 8199 picked here.
+ZONOS_PORT=8199
+
+# Bind address. 0.0.0.0 exposes on all interfaces (incl. WG tunnel
+# interface 10.100.79.3); 127.0.0.1 restricts to local-only.
+ZONOS_BIND=0.0.0.0
+
+# ── runtime / GPU ────────────────────────────────────────────────────
+# Devices visible inside the container. "0" pins to the RTX 3090
+# (24 GB) — plenty for Zonos (~6 GB). Both the 3090 and the A6000 are
+# Ampere, so either satisfies the hybrid variant's "3000-series or
+# newer" requirement; "1" selects the A6000.
+ZONOS_GPU_DEVICES=0
+
+# Model variant is chosen in the Gradio UI / SDK, not via env:
+#   Zyphra/Zonos-v0.1-transformer  — default, ~3.6 GB, no special kernels
+#   Zyphra/Zonos-v0.1-hybrid       — Mamba-SSM hybrid; needs Ampere+ and
+#                                    extra build deps (mamba-ssm,
+#                                    causal-conv1d) baked by the image
+# Start with the transformer variant unless you specifically want hybrid.
+
+# ── persistent storage on the host ───────────────────────────────────
+# HuggingFace cache — Zonos weights land here on first start.
+# Bind-mounted so they survive container recreate. Excluded from restic
+# (regenerable from HF).
+ZONOS_CACHE_DIR=/worktank/zonos/cache
diff --git a/stacks/zonos/README.md b/stacks/zonos/README.md
new file mode 100644
index 0000000..a370f1f
--- /dev/null
+++ b/stacks/zonos/README.md
@@ -0,0 +1,65 @@
+# Zonos
+
+Zyphra's expressive multilingual open-weight TTS
+([Zyphra/Zonos](https://github.com/Zyphra/Zonos)) — 44 kHz output,
+zero-shot voice cloning, and explicit emotion/conditioning controls —
+served via the **official repo's Gradio interface**.
+
+Models ([`Zonos.from_pretrained()`](https://github.com/Zyphra/Zonos)):
+
+| Variant | HF repo | Notes |
+|---|---|---|
+| transformer | [Zyphra/Zonos-v0.1-transformer](https://huggingface.co/Zyphra/Zonos-v0.1-transformer) | ~3.6 GB, no special kernels (default) |
+| hybrid | [Zyphra/Zonos-v0.1-hybrid](https://huggingface.co/Zyphra/Zonos-v0.1-hybrid) | Mamba-SSM; needs Ampere+ GPU + extra build deps |
+
+**Server:** irv-ml1 (Irvine, WireGuard-only)
+**Port:** 8199 (container Gradio listens on 7860)
+**GPUs:** pins to device 0 (RTX 3090) by default; ~6 GB VRAM
+**Image:** `local/zonos:v1` — built locally from a pinned git SHA of the
+upstream repo via docker buildx's git URL context
+**Upstream:** [Zyphra/Zonos](https://github.com/Zyphra/Zonos) (Apache-2.0),
+trained on 200k+ hours; multilingual EN/JA/ZH/FR/DE
+
+## Why this stack exists
+
+A different *control surface* from the rest of the bench: Zonos exposes
+**emotion/conditioning sliders** plus pitch/rate conditioning and 44 kHz
+output, where Chatterbox/Dia use inline tags and Fish uses
+natural-language paralinguistic tags. Worth A/B-ing by ear against
+Chatterbox-Turbo (the research that prompted this stack explicitly said
+"benchmark Zonos against Chatterbox before choosing").
+
+## ⚠️ Audition surface, not skaldsong-pluggable (yet)
+
+The official repo ships a **Gradio WebUI + Python SDK only** — there is
+**no OpenAI-compatible `/v1/audio/speech` endpoint**. So this stack is
+for *auditioning quality*, not for wiring into skaldsong's engine
+router as-is. To promote Zonos to a real engine slot we'd need either:
+
+- the community FastAPI fork ([Zyphra/Zonos PR #73](https://github.com/Zyphra/Zonos/pull/73), adds REST + basic streaming), or
+- a thin OpenAI-compat adapter in front of the Python SDK.
+
+Both are a follow-up if Zonos earns a slot in the ear test.
+
+## Deploy
+
+```bash
+# from this workstation (irv-ml1 is WG-only — routes via ana-wg):
+scripts/deploy-stack.sh irv-ml1 zonos
+# then on irv-ml1, first run builds the image from the pinned SHA:
+#   docker compose up -d --build
+```
+
+Open `http://10.100.79.3:8199/` for the Gradio UI. First boot pulls the
+model (~3.6 GB) into `ZONOS_CACHE_DIR`; the 600 s `start_period` covers
+it.
+
+## Notes
+
+- **Pin `ZONOS_SHA`** to a full 40-char commit before relying on this —
+  `.env.example` ships `main`, which is not reproducible.
+- The upstream image bundles **espeak-ng** (required for Zonos's
+  phonemization) via its Dockerfile.
+- `GRADIO_SERVER_NAME=0.0.0.0` is set so the in-container Gradio binds
+  all interfaces and the host port-map reaches it. If a future upstream
+  hardcodes `server_name`, the API fork above is the cleaner path.
diff --git a/stacks/zonos/compose.yaml b/stacks/zonos/compose.yaml
new file mode 100644
index 0000000..0ff3248
--- /dev/null
+++ b/stacks/zonos/compose.yaml
@@ -0,0 +1,56 @@
+# Zonos-v0.1 (Zyphra's expressive multilingual open-weight TTS) served
+# via the OFFICIAL Zyphra/Zonos repo's Gradio interface.
+#
+# Why this stack exists alongside the other TTS:
+#   * Apache-2.0, 44 kHz output, zero-shot voice cloning from a
+#     10-30 s sample, and explicit emotion/conditioning sliders —
+#     a different control surface from tag-based engines.
+#   * Multilingual (EN/JA/ZH/FR/DE), trained on 200k+ hours.
+#   * Cheap to run (~6 GB VRAM, transformer variant ~3.6 GB weights).
+#
+# CAVEAT — this is an AUDITION/EVAL surface, not a skaldsong-pluggable
+# engine yet: the official repo ships a Gradio WebUI + Python SDK, NOT
+# an OpenAI-compatible /v1/audio/speech endpoint. To wire Zonos into
+# skaldsong's router we'd need the community FastAPI fork (Zyphra/Zonos
+# PR #73) or a thin adapter. Bench it by ear first; promote later if it
+# earns a slot.
+#
+# Image is built locally from the upstream repo's Dockerfile via docker
+# buildx git-context. All tunables live in .env — edit that, not this.
+
+services:
+  zonos:
+    image: local/zonos:${ZONOS_TAG}
+    build:
+      # Single Dockerfile at repo root; bundles espeak-ng (required for
+      # Zonos's eSpeak phonemization).
+      context: https://github.com/Zyphra/Zonos.git#${ZONOS_SHA}
+      dockerfile: Dockerfile
+    container_name: zonos
+    restart: unless-stopped
+    runtime: nvidia
+    ports:
+      - "${ZONOS_BIND:-0.0.0.0}:${ZONOS_PORT}:7860"
+    environment:
+      - NVIDIA_VISIBLE_DEVICES=${ZONOS_GPU_DEVICES:-0}
+      - NVIDIA_DRIVER_CAPABILITIES=compute,utility
+      # Make Gradio bind all interfaces inside the container so the host
+      # port-map reaches it (Gradio otherwise may bind 127.0.0.1 only).
+      - GRADIO_SERVER_NAME=0.0.0.0
+      - HF_HOME=/app/hf_cache
+    volumes:
+      - ${ZONOS_CACHE_DIR}:/app/hf_cache
+    healthcheck:
+      # No JSON status route on the Gradio app — just probe the root
+      # page for liveness. start_period covers the first-boot model pull.
+      test: ["CMD-SHELL", "python3 -c \"import urllib.request,sys; urllib.request.urlopen('http://127.0.0.1:7860/', timeout=5); sys.exit(0)\""]
+      interval: 30s
+      timeout: 10s
+      retries: 3
+      start_period: 600s
+    labels:
+      - homepage.group=AI Systems
+      - homepage.name=Zonos
+      - homepage.icon=mdi-waveform
+      - homepage.description=Expressive multilingual TTS + cloning, 44kHz (Gradio eval, irv-ml1)
+      - homepage.href=http://10.100.79.3:${ZONOS_PORT}