vh
06476745f1
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).
64 lines
2.3 KiB
YAML
64 lines
2.3 KiB
YAML
# ComfyUI — node-based Stable Diffusion / Flux inference UI.
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#
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# Runs on irv-ml1 (dual GPU: RTX 3090 + RTX A6000). Both GPUs are
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# exposed via NVIDIA_VISIBLE_DEVICES=all so GPU selection happens
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# per-workflow inside ComfyUI.
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#
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# All user state — models, workflows, custom_nodes, input, output —
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# lives under a single BASE_DIRECTORY tree on /worktank (462 GB
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# dedicated), owned by lkraven:lkraven (1000:1000) so external
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# tooling can read and write workflow files directly on the host.
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#
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# Runtime state (ComfyUI source, venv, pip cache) lives in a bind
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# mount at ${COMFYUI_RUNDIR} — disposable (can be wiped on version
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# bumps to force re-bootstrap), but owned by the host user so no
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# sudo dance is needed. (Named volumes would be created root-owned
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# and the image refuses to chown a mounted path.)
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#
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# First-run prerequisite: both ${COMFYUI_BASEDIR} and ${COMFYUI_RUNDIR}
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# must exist on the host with ownership matching COMFYUI_UID:COMFYUI_GID
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# before `up`. See README for the bootstrap command.
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#
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# All tunables live in .env — edit that, not this file.
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services:
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comfyui:
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image: mmartial/comfyui-nvidia-docker:${COMFYUI_VERSION}
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container_name: comfyui
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restart: unless-stopped
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runtime: nvidia
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ports:
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- "${COMFYUI_BIND:-0.0.0.0}:${COMFYUI_PORT}:8188"
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environment:
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- NVIDIA_VISIBLE_DEVICES=all
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- WANTED_UID=${COMFYUI_UID}
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- WANTED_GID=${COMFYUI_GID}
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- BASE_DIRECTORY=/basedir
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- SECURITY_LEVEL=${COMFYUI_SECURITY_LEVEL:-normal}
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- USE_UV=true
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volumes:
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- ${COMFYUI_BASEDIR}:/basedir
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- ${COMFYUI_RUNDIR}:/comfy/mnt
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healthcheck:
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test: ["CMD-SHELL", "curl -fsS http://localhost:8188/ >/dev/null || exit 1"]
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interval: 30s
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timeout: 10s
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retries: 3
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# First boot installs ~5 GB of Python packages; allow generous
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# start_period so the container isn't marked unhealthy during
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# bootstrap. Subsequent starts are fast.
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start_period: 600s
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networks:
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- tnet
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labels:
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- homepage.group=AI Systems
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- homepage.name=ComfyUI
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- homepage.icon=mdi-image-auto-adjust
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- homepage.description=Node-based SD/Flux inference (irv-ml1)
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- homepage.href=http://10.100.79.3:${COMFYUI_PORT}
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networks:
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tnet:
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name: traefik-net
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external: true
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