comfyui: add stack + deploy to irv-ml1

New stack mirroring PFI convention (stacks/comfyui/) using
mmartial/comfyui-nvidia-docker:ubuntu24_cuda12.8-20260312. Both GPUs
exposed, pinned to CUDA 12.8 to match the host's 570.x driver and the
native cuda-toolkit already in place.

Layout — single tree under /worktank/comfyui/ (462G dedicated, 1%
used pre-deploy):
  - basedir/  → /basedir   user state (models, workflows, custom_nodes,
                           input, output); owned 1000:1000 so external
                           tools can edit workflow JSON directly.
  - run/      → /comfy/mnt  ComfyUI source + venv + pip cache (~7.8G
                           after bootstrap). Bind mount instead of
                           named volume — the image refuses to chown
                           mounted paths at startup, so keeping this
                           lkraven-owned avoids the sudo dance.

servers/irv-ml1/README.md refreshed: Docker upgraded to 29.4.1 with
traefik-net in place; dockge + beszel-agent + dozzle-agent already
present; /storetank dropped 92% → 64%; restic coverage to
rest-server-nh3 is operational (not "currently none" as prior text).
This commit is contained in:
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2026-04-23 22:56:21 -07:00
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# ComfyUI stack tunables. Copy to `.env` on irv-ml1 before deploying.
#
# cp .env.example .env
# # edit as needed
# docker compose up -d
# Image tag. Format is `ubuntu<os>_cuda<ver>-<date>`; the floating
# equivalent is `ubuntu<os>_cuda<ver>-latest`.
#
# irv-ml1 runtime constraints:
# - Host driver 570.x → max runtime CUDA 12.8 (per nvidia-smi). Tags
# above 12.8 will fail at runtime on driver/CUDA mismatch even
# though the manifest pulls fine.
# - Host cuda-toolkit is 12.8 to match native Python venvs (ComfyUI,
# SDNext, fluxgym, llama.cpp, etc.) — keep the container in sync.
#
# See https://hub.docker.com/r/mmartial/comfyui-nvidia-docker/tags.
COMFYUI_VERSION=ubuntu24_cuda12.8-20260312
# Host port for the ComfyUI web UI (container listens on 8188)
COMFYUI_PORT=8188
# Bind address. 0.0.0.0 exposes on all interfaces including the WG
# tunnel IP (10.100.79.3) so homepage / the hub side can reach it.
# Use 127.0.0.1 to restrict to local / SSH-forwarded access only.
COMFYUI_BIND=0.0.0.0
# UID/GID the container user runs as. Must match the owner of
# COMFYUI_BASEDIR so workflows, custom nodes, input, and output are
# read/write from both the container and external host tooling.
# On irv-ml1: lkraven = 1000:1000.
COMFYUI_UID=1000
COMFYUI_GID=1000
# Host path for all user state (models, workflows, custom_nodes,
# input, output). Must exist and be chowned to COMFYUI_UID:COMFYUI_GID
# before the first `docker compose up`.
COMFYUI_BASEDIR=/worktank/comfyui/basedir
# Host path for container runtime (ComfyUI source + Python venv +
# pip cache, ~5 GB after bootstrap). Disposable — safe to `rm -rf`
# on version bumps to force a fresh re-bootstrap. Must be owned by
# COMFYUI_UID:COMFYUI_GID.
COMFYUI_RUNDIR=/worktank/comfyui/run
# ComfyUI-Manager security level:
# normal → default; installs custom nodes from vetted sources only.
# weak → permits arbitrary pip installs via Manager. Use only if
# you trust every workflow author you'll import.
# strict → blocks pip installs via Manager entirely.
COMFYUI_SECURITY_LEVEL=normal
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# ComfyUI
Node-based Stable Diffusion / Flux inference UI.
**Server:** irv-ml1 (Irvine, WireGuard-only)
**Port:** 8188 (configurable via `.env`)
**GPUs:** both (RTX 3090 + RTX A6000 both exposed; select per-workflow)
**Image:** `mmartial/comfyui-nvidia-docker`
**Native coexistence:** runs independently of `/opt/ComfyUI` (the existing native install). Migrate models by copy or move — no cross-binding.
## Path layout
All user state lives under a single host tree on `/worktank`, owned
by `lkraven:lkraven` (UID/GID 1000) so external tooling can read and
write workflow files directly. ComfyUI-Manager puts downloaded weights
into the same tree, so everything is visible on the host.
| Host path | Container path | Purpose | Restic? |
|---|---|---|---|
| `/worktank/comfyui/basedir/models/` | `/basedir/models/` | Checkpoints, loras, vae, unet, controlnet, upscale, etc. | excluded (bulk, regenerable) |
| `/worktank/comfyui/basedir/user/default/workflows/` | `/basedir/user/default/workflows/` | Workflow JSON files — **external tools edit here** | included |
| `/worktank/comfyui/basedir/custom_nodes/` | `/basedir/custom_nodes/` | ComfyUI-Manager-installed nodes | included |
| `/worktank/comfyui/basedir/input/` | `/basedir/input/` | Uploaded source images | included |
| `/worktank/comfyui/basedir/output/` | `/basedir/output/` | Generated images | excluded (regenerable) |
| `/worktank/comfyui/run/` | `/comfy/mnt` | ComfyUI source + venv + pip cache (~5 GB) | excluded (disposable) |
Standard ComfyUI model subdirs the image creates under `models/`:
`checkpoints`, `clip`, `clip_vision`, `configs`, `controlnet`,
`diffusers`, `embeddings`, `gligen`, `hypernetworks`, `loras`,
`photomaker`, `style_models`, `unet`, `upscale_models`, `vae`,
`vae_approx`.
## First-time deploy on irv-ml1
```bash
# 1. Push compose + env template from workstation
scripts/deploy-stack.sh irv-ml1 comfyui
# 2. Create basedir + run on the host (the image expects both to exist
# as the target UID/GID before first up; it refuses to chown
# mounted paths). One-time sudo because /worktank is root-owned.
ssh -t irv-ml1 'sudo mkdir -p /worktank/comfyui/{basedir,run} && \
sudo chown -R lkraven:lkraven /worktank/comfyui'
# 3. Create .env and bring up. First `up` takes several minutes —
# the image installs ~5 GB of Python packages on first boot.
ssh irv-ml1 '
cd /opt/docker/compose/comfyui && \
cp -n .env.example .env && \
docker compose config >/dev/null && \
docker compose up -d && \
docker compose logs -f --tail=30
'
```
Once the logs settle on "Starting server" / "To see the GUI go to …",
the UI is reachable at `http://10.100.79.3:8188` (from the WG-tunnel
side). The homepage hub on ana-docker auto-discovers it via the Dozzle
agent + the homepage Docker socket integration already wired on
irv-ml1.
## Populate models
Native install lives at `/opt/ComfyUI/models/` (owned `llmuser`).
Copy or move into the container's tree — paths match 1:1:
```bash
# Example: copy one subdir at a time, preserving timestamps
ssh -t irv-ml1 'sudo -u lkraven rsync -av \
/opt/ComfyUI/models/checkpoints/ \
/worktank/comfyui/basedir/models/checkpoints/'
```
Repeat per subdir. `rsync -av --remove-source-files` if you want a
true move (then clean up empty source dirs). The native install will
continue to work with whatever remains under `/opt/ComfyUI/models/`.
## Editing workflows from outside the container
Workflows live as JSON under
`/worktank/comfyui/basedir/user/default/workflows/` on the host,
owned `lkraven:lkraven`. External tools running as `lkraven` can
read and write them without coordination — ComfyUI picks up file
changes on the next workflow load (no container restart needed).
## Deploy updates
```bash
# After editing compose.yaml or .env.example here
scripts/deploy-stack.sh irv-ml1 comfyui
ssh irv-ml1 'cd /opt/docker/compose/comfyui && docker compose up -d'
```
## Image version bump
```bash
# Pick a new tag from
# https://hub.docker.com/r/mmartial/comfyui-nvidia-docker/tags
ssh -t irv-ml1 '
cd /opt/docker/compose/comfyui && \
sed -i "s/^COMFYUI_VERSION=.*/COMFYUI_VERSION=<new-tag>/" .env && \
docker compose pull && \
docker compose up -d
'
```
Runtime lives at `/worktank/comfyui/run/`. For a fresh bootstrap
(force venv + pip cache rebuild against the new image):
```bash
ssh irv-ml1 '
cd /opt/docker/compose/comfyui && \
docker compose down && \
rm -rf /worktank/comfyui/run/* && \
docker compose pull && \
docker compose up -d
'
```
User state under `/worktank/comfyui/basedir/` is untouched by either
pattern.
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# ComfyUI — node-based Stable Diffusion / Flux inference UI.
#
# Runs on irv-ml1 (dual GPU: RTX 3090 + RTX A6000). Both GPUs are
# exposed via NVIDIA_VISIBLE_DEVICES=all so GPU selection happens
# per-workflow inside ComfyUI.
#
# All user state — models, workflows, custom_nodes, input, output —
# lives under a single BASE_DIRECTORY tree on /worktank (462 GB
# dedicated), owned by lkraven:lkraven (1000:1000) so external
# tooling can read and write workflow files directly on the host.
#
# Runtime state (ComfyUI source, venv, pip cache) lives in a bind
# mount at ${COMFYUI_RUNDIR} — disposable (can be wiped on version
# bumps to force re-bootstrap), but owned by the host user so no
# sudo dance is needed. (Named volumes would be created root-owned
# and the image refuses to chown a mounted path.)
#
# First-run prerequisite: both ${COMFYUI_BASEDIR} and ${COMFYUI_RUNDIR}
# must exist on the host with ownership matching COMFYUI_UID:COMFYUI_GID
# before `up`. See README for the bootstrap command.
#
# All tunables live in .env — edit that, not this file.
services:
comfyui:
image: mmartial/comfyui-nvidia-docker:${COMFYUI_VERSION}
container_name: comfyui
restart: unless-stopped
runtime: nvidia
ports:
- "${COMFYUI_BIND:-0.0.0.0}:${COMFYUI_PORT}:8188"
environment:
- NVIDIA_VISIBLE_DEVICES=all
- WANTED_UID=${COMFYUI_UID}
- WANTED_GID=${COMFYUI_GID}
- BASE_DIRECTORY=/basedir
- SECURITY_LEVEL=${COMFYUI_SECURITY_LEVEL:-normal}
- USE_UV=true
volumes:
- ${COMFYUI_BASEDIR}:/basedir
- ${COMFYUI_RUNDIR}:/comfy/mnt
healthcheck:
test: ["CMD-SHELL", "curl -fsS http://localhost:8188/ >/dev/null || exit 1"]
interval: 30s
timeout: 10s
retries: 3
# First boot installs ~5 GB of Python packages; allow generous
# start_period so the container isn't marked unhealthy during
# bootstrap. Subsequent starts are fast.
start_period: 600s
networks:
- tnet
labels:
- homepage.group=AI Systems
- homepage.name=ComfyUI
- homepage.icon=mdi-image-auto-adjust
- homepage.description=Node-based SD/Flux inference (irv-ml1)
- homepage.href=http://10.100.79.3:${COMFYUI_PORT}
networks:
tnet:
name: traefik-net
external: true