ComfyUI Bridge

Generate images, faceswap, edit photos, animate expressions, and do style transfer via a self-hosted ComfyUI instance on your LAN. Your GPU, your models.

Generate images, faceswap, animate expressions, and do style transfer via a self-hosted ComfyUI instance running on your LAN. No cloud API — your GPU, your models.

Requirements

• ComfyUI Desktop (or server) running somewhere on your LAN
• ComfyUI Bridge server running on the same machine as ComfyUI (see Setup)
• uv installed on the machine running OpenClaw

Setup

1. Install the bridge server (on your ComfyUI machine)

The bridge is a lightweight FastAPI server that wraps ComfyUI's API:

bash

git clone https://github.com/Bortlesboat/comfyui-bridge
cd comfyui-bridge
pip install -r requirements.txt
python bridge_server.py
# Listening on http://0.0.0.0:8100

2. Configure the skill

Set the bridge URL as an environment variable on your OpenClaw machine:

bash

export COMFYUI_BRIDGE_URL=http://YOUR_COMFYUI_MACHINE_IP:8100

Or add it to your LaunchAgent/systemd service environment.

3. Required ComfyUI custom nodes (for all features)

Install via ComfyUI Manager:

• ReActor — faceswap
• ComfyUI-LivePortrait — expression animation
• ComfyUI_IPAdapter_plus — style transfer
• WAS Node Suite — utilities
• ComfyUI-GGUF — GGUF model support (optional, for FLUX)
• rgthree-comfy — workflow utilities

4. Recommended models

Model	Use
Juggernaut XL Ragnarok	Architecture, objects, general
RealVisXL V5.0 Lightning	People, portraits, fast
FLUX.1 Dev Q5 GGUF	Maximum photorealism (slow, VRAM-heavy)

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Usage

All commands use the comfyui_generate.py script via uv run. Replace SKILL_SCRIPTS with the path to this skill's scripts/ directory.

Always use --no-media — include one MEDIA: /full/path/to/output.png in your text response instead.

1. Text to Image

bash

uv run $SKILL_SCRIPTS/comfyui_generate.py \
  --prompt "your description" \
  --filename ~/.openclaw/media/outbound/output.png \
  --no-media

2. Image to Image

bash

uv run $SKILL_SCRIPTS/comfyui_generate.py \
  --prompt "make it sunset" \
  -i /path/to/input.png \
  --strength 0.5 \
  --filename ~/.openclaw/media/outbound/output.png \
  --no-media

3. Faceswap (pipeline — best quality)

Swaps a face then runs img2img cleanup for natural blending. ~30 seconds total.

bash

uv run $SKILL_SCRIPTS/comfyui_generate.py \
  --faceswap-pipeline \
  --source-face /path/to/source_face.png \
  -i /path/to/target.png \
  --cleanup-strength 0.40 \
  --filename ~/.openclaw/media/outbound/output.png \
  --no-media

4. Faceswap (basic)

bash

uv run $SKILL_SCRIPTS/comfyui_generate.py \
  --faceswap \
  --source-face /path/to/source_face.png \
  -i /path/to/target.png \
  --filename ~/.openclaw/media/outbound/output.png \
  --no-media

5. Targeted Faceswap (specific face in group photo)

bash

uv run $SKILL_SCRIPTS/comfyui_generate.py \
  --targeted-faceswap \
  --source-face /path/to/source_face.png \
  -i /path/to/group_photo.png \
  --target-face-index "1" \
  --filename ~/.openclaw/media/outbound/output.png \
  --no-media

Face indices: 0 = leftmost, 1 = second from left, "0,2" = first and third.

6. LivePortrait (expression animation)

bash

uv run $SKILL_SCRIPTS/comfyui_generate.py \
  --liveportrait \
  -i /path/to/portrait.png \
  --expression-preset smile \
  --filename ~/.openclaw/media/outbound/output.png \
  --no-media

Presets: smile, surprised, wink, suspicious, derp, angry, sleepy

Fine-grained control: --smile (-0.3 to 1.3), --blink-val (-20 to 5), --eyebrow-val (-10 to 15), --aaa (-30 to 120, mouth open), --pitch/--yaw/--roll (-20 to 20, head rotation).

7. Style Transfer

Generate a new image in the style of a reference:

bash

uv run $SKILL_SCRIPTS/comfyui_generate.py \
  --style-transfer \
  --style-ref /path/to/reference.png \
  --prompt "a portrait of a man" \
  --style-weight 0.85 \
  --filename ~/.openclaw/media/outbound/output.png \
  --no-media

8. Restyle

Apply a reference image's style to an existing photo:

bash

uv run $SKILL_SCRIPTS/comfyui_generate.py \
  --restyle \
  --style-ref /path/to/reference.png \
  -i /path/to/photo.png \
  --style-weight 0.85 \
  --strength 0.65 \
  --filename ~/.openclaw/media/outbound/output.png \
  --no-media

9. Enhanced mode

Add --enhanced to any command for FaceDetailer + 4x-UltraSharp upscale (net ~2x resolution). Works with txt2img and faceswap.

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Quality Gates (built-in)

The script includes two automatic quality checks on faceswap outputs:

Gate 1 — Size check: ReActor blank outputs when no face is detected (~2KB). Any faceswap output under 10KB automatically retries once. If still blank, exits with FACESWAP_BLANK: error — no garbage delivered.

Gate 2 — Vision QA: If you have Ollama running locally with gemma3:12b, faceswap outputs are checked with vision QA before delivery. PASS → deliver normally. FAIL → file renamed _qa_flagged and still delivered. Add ~10-20s but catches glitchy outputs. Disable by not having Ollama/gemma3 installed (fails open).

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Offline Queue

When the bridge is unreachable, requests are automatically queued to ~/.openclaw/faceswap-queue/. A companion daemon (queue_processor.py) polls every 5 minutes and delivers via iMessage when the bridge comes back online.

Tell users: "Got it — the system is offline right now but your request is queued and will be sent automatically when it comes back."

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Options Reference

Flag	Default	Description
--prompt / -p	—	Text description
--filename / -f	required	Output path (use ~/.openclaw/media/outbound/)
-i / --input-image	—	Input image (img2img target / faceswap target / portrait)
--source-face	—	Source face image (faceswap modes)
--faceswap	false	Basic faceswap
--faceswap-pipeline	false	Faceswap + cleanup (best quality)
--cleanup-strength	0.40	Pipeline cleanup denoise strength
--targeted-faceswap	false	Swap specific face in multi-face image
--target-face-index	0	Which face(s) to replace (comma-separated)
--liveportrait	false	Expression animation mode
--expression-preset	—	smile / surprised / wink / suspicious / derp / angry / sleepy
--style-transfer	false	Generate in reference style
--restyle	false	Apply reference style to existing photo
--style-ref	—	Style reference image
--style-weight	0.85	Style influence (0.5–1.0)
--model / -m	juggernaut	juggernaut, flux, realvis
--aspect-ratio / -a	1:1	1:1, 4:5, 9:16, 16:9, 5:4
--strength / -s	0.6	img2img denoise strength
--seed	-1	Seed (-1 = random)
--enhanced / -e	false	FaceDetailer + 4x upscale
--no-media	false	Suppress MEDIA: stdout line (always use this)

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Routing Guide

User says	Mode
"generate an image of..."	txt2img
"make this look like..." (with image)	img2img
"put [person]'s face on this"	--faceswap-pipeline
"swap the second face"	--targeted-faceswap --target-face-index 1
"make him smile / look surprised"	--liveportrait --expression-preset
"generate something that looks like this painting"	--style-transfer
"make this photo look like a painting"	--restyle
"high quality / best quality"	add --enhanced

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Timing Reference

Mode	Approximate time
txt2img (realvis)	~5 seconds
txt2img (juggernaut)	~5 minutes
txt2img (flux)	~10 minutes
faceswap pipeline	~30 seconds
liveportrait	~7 seconds (21s first run)
style transfer / restyle	~5 minutes
+enhanced	+10-30 seconds