comfyui-imagegen（舒适图像生成器）

ComfyUI ImageGen\

\

Changelog\

• [2026-02-11 20:42 EST]: v1.5.0 (published) - Standalone --structured-prompt fix (no positional arg required); workflow updated to 1920x1080 16:9; production-ready with live tests (JSON direct-to-positive-prompt, async sub-agent delivery).\
• [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.

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

1. Agent converts human request to mandatory structured JSON schema → compact string.
2. Verify ComfyUI runs on localhost:8188.
3. 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.

1. 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

1. Customize:

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.