Tencent SkillHub · Developer Tools

ComfyUI ImageGen (Flux2)

Generate images via ComfyUI API (localhost:8188) using Flux2 workflow. Supports structured JSON prompts sent directly as positive prompt parameter, seed/steps customization. Async watcher via sub-agent for low-latency, token-efficient polling (every 5s).

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Install for OpenClaw

Quick setup

Download the package from Yavira.
Extract the archive and review SKILL.md first.
Import or place the package into your OpenClaw setup.

Requirements

Target platform: OpenClaw
Install method: Manual import
Extraction: Extract archive
Prerequisites: OpenClaw
Primary doc: SKILL.md

Package facts

Download mode: Yavira redirect
Package format: ZIP package
Source platform: Tencent SkillHub
What's included: scripts/generate.py, SKILL.md, workflows/flux2.json

Validation

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Trust & source

Release facts

Source: Tencent SkillHub
Verification: Indexed source record
Version: 1.5.0

Provenance

Publisher: halr9000
Source page: View original listing
Canonical URL: Open canonical page

Documentation

ClawHub primary doc Primary doc: SKILL.md 6 sections Open source page

Changelog

[2026-02-11 10:10 EST]: v1.4.0 - Refactored prompting: agent converts human prompt to structured JSON string; script sends JSON directly as ComfyUI positive prompt (no prose conversion). Added text-in-image quoting rule. [2026-02-11 09:52 EST]: v1.3.0 - Script now accepts --structured-prompt JSON directly (auto-generates prose internally). Removed agent-side prose step. Updated usage/examples. [2026-02-11 09:20 EST]: v1.2.0 - Added structured prompt parsing: translate human requests into optional JSON schema fields, auto-generate optimized Flux.2 prose prompts. Updated description. [2026-02-11 00:15 EST]: v1.1.0 - Added --submit-only (fast prompt_id return) + --watch prompt_id modes. SKILL.md docs async flow: submit → sessions_spawn watcher sub-agent (polls every 5s, auto-sends image to Telegram, ~10x token savings vs. main-agent block). [2026-02-11 04:05 EST]: v1.0.3 - Added Flux.2 [klein] 9B prompting best practices section with guidelines from Black Forest Labs and fal.ai. [2026-02-10 23:05]: v1.0.2 - Workflow v3: "Image Save with Prompt/Info (WLSH)" (node 85) for improved metadata embedding. Script updated to poll node 85. [2026-02-10 23:00]: Added explicit instruction to always send generated image to user post-generation via message tool. [2026-02-10]: Updated to new workflow: JPG output with embedded prompt/metadata via "Image Save with Prompt File (WLSH)". Model changed to darkBeastFeb0826Latest_dbkBlitzV15.safetensors. Script now polls node 84.

Usage

Agent converts human request to mandatory structured JSON schema → compact string. Verify ComfyUI runs on localhost:8188. Async Mode (Recommended): 1. exec python skills/comfyui-imagegen/scripts/generate.py --structured-prompt '{"subjects":[{"description":"fluffy tabby cat","position":"center","action":"sitting relaxed"}],"scene":"cozy room interior","lighting":"warm golden sunset rays","mood":"serene and peaceful","camera":{"angle":"low angle"}}' --submit-only → parse prompt_id 2. sessions_spawn task="Set-Location 'C:\\Users\\hal\\.openclaw\\workspace'; python skills/comfyui-imagegen/scripts/generate.py --watch '{prompt_id}' --output ./gen-{prompt_id}.jpg; message action=send channel=telegram target=595846104 media=./gen-{prompt_id}.jpg; Remove-Item ./gen-{prompt_id}.jpg" label="img-{prompt_id}" cleanup=delete runTimeoutSeconds=180 Watcher polls /history/{prompt_id} every 5s (optimal: <5s latency, ~12 polls max @60s job, isolated tokens). Auto-sends JPG to this chat on completion (sub-agent pings back). Timeout implicitly via spawn runTimeoutSeconds=120. Sync Mode (blocks agent): exec python skills/comfyui-imagegen/scripts/generate.py --structured-prompt '{"scene":"your scene"}' [--seed N] [--steps 10] [--output ./my.jpg] [--host localhost:8188] message action=send channel=telegram media=./my.jpg Customize: ArgDefaultNotes--seedrandomRepro--steps520-50 quality--hostlocalhost:8188Remote--outputgen-{seed/pid}.jpgFull path

Structured Prompt Schema (Mandatory Format)

Agent step 1: Convert human natural language request into this exact JSON structure (all fields optional; populate only relevant; subjects array supports multiples). Rule: For text in images (signs, logos), surround in double quotes within description/action fields, e.g., "sign reading \"STOP\"" or "logo with text \"OpenClaw\"" { "scene": "overall scene description", "subjects": [ { "description": "detailed subject description", "position": "where in frame", "action": "what they're doing" } ], "style": "artistic style", "color_palette": ["#FF0000", "#00AACC"], "lighting": "lighting description", "mood": "emotional tone", "background": "background details", "composition": "framing and layout", "camera": { "angle": "camera angle", "lens": "lens type", "depth_of_field": "focus behavior" } } Agent step 2: Stringify JSON (compact, single-line for shell escaping), pass to script --structured-prompt (sent directly as ComfyUI positive prompt). Example: User: "A cat sitting on a windowsill at sunset" Structured JSON string (for --structured-prompt): '{"subjects":[{"description":"fluffy tabby cat","position":"center","action":"sitting relaxed"}],"scene":"cozy room interior","lighting":"warm golden sunset rays","mood":"serene and peaceful","camera":{"angle":"low angle"}}'

Workflow Details

Polls node 85 ("Image Save with Prompt/Info (WLSH)"). Model: darkBeastFeb0826Latest_dbkBlitzV15.safetensors Template: workflows/flux2.json

Prompting Best Practices (Flux.2 [klein] 9B)

Prose, not keywords. Subject → Scene → Lighting → Mood. E.g., "A serene mountain lake at dawn, mist rising, golden light piercing peaks, photorealistic." Sources: BFL, fal.ai

Examples

# Async test (structured JSON string → direct positive prompt) python .../generate.py --structured-prompt '{"subjects":[{"description":"fluffy tabby cat","position":"center","action":"sitting relaxed"}],"scene":"cozy room interior","lighting":"warm golden sunset rays","mood":"serene and peaceful","camera":{"angle":"low angle"}}' --submit-only --steps 10 # → prompt_id=abc123; spawn watcher sub-agent For cron alternative (less optimal): cron add one-shot at=now+10s payload.systemEvent="Check img job {prompt_id}" but spawn > cron for this.

Category context

Code helpers, APIs, CLIs, browser automation, testing, and developer operations.

Source: Tencent SkillHub

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Package contents

Included in package

1 Docs1 Scripts1 Config

SKILL.md Primary doc
scripts/generate.py Scripts
workflows/flux2.json Config