mAi: #2 - phase 1 PoC: ComfyUI on mRock + first FLUX schnell image

Native systemd install (matches Ollama pattern on Arch — Docker on mRock
has no nvidia runtime; native venv via uv is the lighter path). The
Black-Forest-Labs FLUX.1-schnell HF repo is gated, so the download script
points at ungated mirrors (Comfy-Org/flux1-schnell + sirorable/flux-ae-vae)
that ship the same Apache-2.0 weights.

First image — cat in a fishbowl, 1024x1024, 4 steps — generated end-to-end
in 9.79s via curl + workflow JSON; stored at
/home/m/dev/ImaGen/poc/first-image.png on mRiver (not committed; transient
PoC artefact). Go adapter is phase 2.
This commit is contained in:
mAi
2026-05-08 16:50:16 +02:00
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.env.local .env.local
/imagen /imagen
/coverage.txt /coverage.txt
/.m/

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# ComfyUI on mRock — install + ops
ImaGen's `flux-schnell-local` backend talks to ComfyUI on mRock at
`http://mrock:8188` (Tailscale-internal). This document is the reproducible
install path from a clean mRock state.
mRock runs Arch Linux + systemd with an NVIDIA RTX 4070 Ti SUPER (16 GB
VRAM). Ollama is already a native systemd service, so ComfyUI follows the
same pattern (native Python venv + systemd unit) instead of Docker — Docker
on mRock has no `nvidia` runtime configured, and adding one is more invasive
than another systemd unit.
## Prerequisites on mRock
- Python via `uv` (already installed).
- NVIDIA driver new enough for CUDA 12.4. `nvidia-smi --query-gpu=driver_version`
should show >= 550. Driver 595 is what mRock has today.
- ~35 GB free on `/home` for the model files.
- `ollama.service` running on port 11434 — coexistence notes below.
## 1. Clone ComfyUI + Python venv
```bash
mkdir -p ~/dev && cd ~/dev
git clone --depth 1 https://github.com/comfyanonymous/ComfyUI.git comfyui
cd comfyui
uv venv --python 3.12 .venv
source .venv/bin/activate.fish
# PyTorch CUDA 12.4 wheels — match the system driver
uv pip install --no-cache torch torchvision torchaudio \
--index-url https://download.pytorch.org/whl/cu124
uv pip install --no-cache -r requirements.txt
```
Verify CUDA is wired up:
```bash
.venv/bin/python -c \
"import torch; print(torch.__version__, torch.cuda.is_available(), torch.cuda.get_device_name(0))"
# expected: 2.6.0+cu124 True NVIDIA GeForce RTX 4070 Ti SUPER
```
## 2. Models — FLUX.1 schnell
The Black-Forest-Labs primary repo (`black-forest-labs/FLUX.1-schnell`) is
**gated**`curl` against it without an HF token returns HTTP 401. We pull
the weights from ungated mirrors of the same Apache-2.0 release.
| File | Where it goes | Source |
|------|---------------|--------|
| `flux1-schnell.safetensors` (~23.8 GB, fp16) | `models/unet/` | `Comfy-Org/flux1-schnell` |
| `ae.safetensors` (~335 MB) | `models/vae/` | `sirorable/flux-ae-vae` |
| `clip_l.safetensors` (~246 MB) | `models/clip/` | `comfyanonymous/flux_text_encoders` |
| `t5xxl_fp8_e4m3fn.safetensors` (~4.9 GB) | `models/clip/` | `comfyanonymous/flux_text_encoders` |
```bash
cd ~/dev/comfyui/models
curl -L -o unet/flux1-schnell.safetensors \
https://huggingface.co/Comfy-Org/flux1-schnell/resolve/main/flux1-schnell.safetensors
curl -L -o vae/ae.safetensors \
https://huggingface.co/sirorable/flux-ae-vae/resolve/main/ae.safetensors
curl -L -o clip/clip_l.safetensors \
https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/clip_l.safetensors
curl -L -o clip/t5xxl_fp8_e4m3fn.safetensors \
https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn.safetensors
```
If a new HF token is configured later (`~/.cache/huggingface/token`), the
official `black-forest-labs/FLUX.1-schnell` URL is byte-identical and can be
swapped in.
## 3. systemd unit
Drop `/etc/systemd/system/comfyui.service`:
```ini
[Unit]
Description=ComfyUI image generation server
Documentation=https://github.com/comfyanonymous/ComfyUI
After=network-online.target
Wants=network-online.target
[Service]
Type=simple
User=m
Group=m
WorkingDirectory=/home/m/dev/comfyui
ExecStart=/home/m/dev/comfyui/.venv/bin/python /home/m/dev/comfyui/main.py \
--listen 0.0.0.0 --port 8188 \
--output-directory /home/m/dev/comfyui/output \
--temp-directory /home/m/dev/comfyui/temp
Restart=on-failure
RestartSec=5
TimeoutStopSec=30
NoNewPrivileges=true
PrivateTmp=true
LimitNOFILE=65535
[Install]
WantedBy=multi-user.target
```
Then:
```bash
sudo systemctl daemon-reload
sudo systemctl enable --now comfyui.service
systemctl status comfyui.service
```
The service binds `0.0.0.0:8188`. Tailscale's wireguard fence is the only
auth — do **not** expose port 8188 to the public internet.
## 4. Health check
```bash
curl -fsS --max-time 5 http://mrock:8188/system_stats | jq '.devices[0]'
# expected: name "cuda:0 NVIDIA GeForce RTX 4070 Ti SUPER ...", vram_total ~16 GB
```
`imagen backends` (from a host with the ImaGen CLI installed) should also
report `flux-schnell-local: ok`.
## 5. VRAM coexistence with Ollama
mRock has 16 GB VRAM total. Ollama parks ~8 GB resident for its current
model. FLUX schnell at fp16 weights with `weight_dtype=fp8_e4m3fn` (the
default the adapter requests) needs roughly 1012 GB peak for a 1024×1024
generation, so concurrent Ollama + FLUX on mRock will OOM.
Two practical options:
- **Stop Ollama before generating** — `sudo systemctl stop ollama` frees
the GPU, run the generation, `sudo systemctl start ollama` afterwards.
Adequate while we don't have many concurrent users.
- **Move Ollama off mRock** — when ImaGen is in regular use, push Ollama to
another host so the GPU is dedicated. Tracked separately.
Both decisions live with whoever operates the box; the adapter does not try
to manage Ollama.
## 6. Smoke test (direct, without the imagen CLI)
```bash
# 1) Submit a workflow
curl -fsS --max-time 30 -X POST -H 'Content-Type: application/json' \
-d @flux-schnell-workflow.json \
http://mrock:8188/prompt
# returns: {"prompt_id": "...", "number": ..., "node_errors": {}}
# 2) Poll history until the prompt completes
PID=... # from above
until curl -fsS http://mrock:8188/history/$PID | jq -e ".\"$PID\".status.completed == true" >/dev/null; do
sleep 1
done
# 3) Pull the image
NAME=$(curl -fsS http://mrock:8188/history/$PID \
| jq -r ".\"$PID\".outputs[\"9\"].images[0].filename")
curl -fsS "http://mrock:8188/view?filename=$NAME&type=output" -o /tmp/cat.png
file /tmp/cat.png # PNG image data, 1024 x 1024
```
The full ImaGen smoke test is in [usage.md](usage.md) once the Go adapter
ships.
## Troubleshooting
- **`vram_free` < 6 GB in `/system_stats`**: another GPU process is holding
memory. Usually Ollama (`sudo systemctl stop ollama`).
- **Workflow returns `node_errors` with `Required input is missing` for
CLIPLoader**: text encoder filenames don't match step 2 check that
`clip_l.safetensors` and `t5xxl_fp8_e4m3fn.safetensors` are in
`models/clip/`, not `models/text_encoders/`.
- **`Access to model … is restricted`** during a model pull: the script is
hitting a gated mirror. Use the ungated URLs from step 2.
- **Service won't start**: check `journalctl -u comfyui --since '5 min ago'`.
Common cause is a stale `pip` install re-run step 1.

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[Unit]
Description=ComfyUI image generation server
Documentation=https://github.com/comfyanonymous/ComfyUI
After=network-online.target
Wants=network-online.target
[Service]
Type=simple
User=m
Group=m
WorkingDirectory=/home/m/dev/comfyui
ExecStart=/home/m/dev/comfyui/.venv/bin/python /home/m/dev/comfyui/main.py \
--listen 0.0.0.0 --port 8188 \
--output-directory /home/m/dev/comfyui/output \
--temp-directory /home/m/dev/comfyui/temp
Restart=on-failure
RestartSec=5
TimeoutStopSec=30
NoNewPrivileges=true
PrivateTmp=true
LimitNOFILE=65535
[Install]
WantedBy=multi-user.target

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#!/bin/bash
# Download FLUX.1 schnell + accompanying VAE/text encoders into a ComfyUI tree.
# Uses ungated mirrors — the official Black-Forest-Labs repo is gated and
# requires an HF token. See docs/setup-comfyui-mrock.md.
set -euo pipefail
ROOT="${1:-$HOME/dev/comfyui/models}"
if [ ! -d "$ROOT" ]; then
echo "models root $ROOT does not exist — pass it as the first argument" >&2
exit 1
fi
mkdir -p "$ROOT/unet" "$ROOT/vae" "$ROOT/clip"
CKPT="https://huggingface.co/Comfy-Org/flux1-schnell/resolve/main/flux1-schnell.safetensors"
VAE="https://huggingface.co/sirorable/flux-ae-vae/resolve/main/ae.safetensors"
CLIP_L="https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/clip_l.safetensors"
T5="https://huggingface.co/comfyanonymous/flux_text_encoders/resolve/main/t5xxl_fp8_e4m3fn.safetensors"
dl() {
local url=$1 dest=$2
if [ -s "$dest" ]; then
echo "skip $dest (already present)"
return
fi
echo "downloading $url -> $dest"
curl -L --fail --retry 3 --retry-delay 5 -C - -o "$dest" "$url"
}
dl "$CKPT" "$ROOT/unet/flux1-schnell.safetensors"
dl "$VAE" "$ROOT/vae/ae.safetensors"
dl "$CLIP_L" "$ROOT/clip/clip_l.safetensors"
dl "$T5" "$ROOT/clip/t5xxl_fp8_e4m3fn.safetensors"
echo "done"

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{
"prompt": {
"6": {
"class_type": "CLIPTextEncode",
"inputs": {
"text": "a small fishbowl with a cat staring out, photo, soft light",
"clip": ["11", 0]
}
},
"8": {
"class_type": "VAEDecode",
"inputs": {
"samples": ["31", 0],
"vae": ["10", 0]
}
},
"9": {
"class_type": "SaveImage",
"inputs": {
"filename_prefix": "imagen-poc",
"images": ["8", 0]
}
},
"10": {
"class_type": "VAELoader",
"inputs": {
"vae_name": "ae.safetensors"
}
},
"11": {
"class_type": "DualCLIPLoader",
"inputs": {
"clip_name1": "t5xxl_fp8_e4m3fn.safetensors",
"clip_name2": "clip_l.safetensors",
"type": "flux"
}
},
"12": {
"class_type": "UNETLoader",
"inputs": {
"unet_name": "flux1-schnell.safetensors",
"weight_dtype": "fp8_e4m3fn"
}
},
"13": {
"class_type": "CLIPTextEncode",
"inputs": {
"text": "",
"clip": ["11", 0]
}
},
"27": {
"class_type": "EmptySD3LatentImage",
"inputs": {
"width": 1024,
"height": 1024,
"batch_size": 1
}
},
"30": {
"class_type": "ModelSamplingFlux",
"inputs": {
"model": ["12", 0],
"max_shift": 1.15,
"base_shift": 0.5,
"width": 1024,
"height": 1024
}
},
"31": {
"class_type": "KSampler",
"inputs": {
"model": ["30", 0],
"seed": 1234567,
"steps": 4,
"cfg": 1.0,
"sampler_name": "euler",
"scheduler": "simple",
"denoise": 1.0,
"positive": ["6", 0],
"negative": ["13", 0],
"latent_image": ["27", 0]
}
}
},
"client_id": "imagen-poc-001"
}