
lovstudio:image-creator
Generate images via multiple mechanisms. Supports: (1) End-to-end AI generation via Gemini/ZenMux — given a prompt, directly output an image. (2) Code-based rendering — generate HTML/React single-file, render to PNG via Playwright. (3) Prompt engineering — generate optimized prompts for external models (nano-banana-pro, etc.). Trigger words: image, generate image, 生图, render, poster, 海报, banner, card, 卡片
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Install
Works with every agent the skills CLI supports.
npx skills add https://github.com/lovstudio/skills --skill lovstudio:image-creator- 01
Install
Run the command in your project. The CLI asks which agents to install for.
- 02
Describe the task
Ask your agent for something this skill covers. It loads lovstudio:image-creator automatically when relevant.
- 03
Review the result
The agent follows the SKILL.md steps, scripts and references bundled with the skill.
SKILL.md
The instructions your agent reads when the skill is triggered.
Image Creator — Multi-Mechanism Framework
Mechanism Selection
Choose the mechanism based on user intent:
| Mechanism | When to Use | Output |
|---|---|---|
| end-to-end | User wants AI-generated artwork, photos, illustrations | PNG image |
| code | User wants designed layouts (posters, cards, banners) with editable content | HTML file + PNG |
| prompt | User wants a prompt for external model (Midjourney, nano-banana-pro, etc.) | Text prompt |
If the user doesn't specify, infer from context:
- "生成一张猫的图片" → end-to-end
- "做一张活动海报" → code
- "帮我写一个 Midjourney prompt" → prompt
Mechanism 1: End-to-End (Gemini)
python3 ~/.claude/skills/lovstudio-image-creator/gen_image.py "PROMPT" [-o output.png] [-q low|medium|high] [--ascii]
- Generates image directly via Gemini 3 Pro (through ZenMux)
- Requires
ZENMUX_API_KEYenvironment variable - First run auto-installs
google-genaiandPillowviapip --user(no manual setup) - Display result with
Readtool after generation
Mechanism 2: Code-Based Rendering
Step 1: Generate HTML
Write a single self-contained HTML file that includes all styles inline. Use:
- React 19 via CDN (
https://cdn.jsdelivr.net/npm/react@19/umd/react.production.min.js) - ReactDOM 19 via CDN
- Tailwind CSS via CDN (
https://cdn.tailwindcss.com) - Google Fonts via
<link>for CJK:Noto Sans SC,Noto Serif SC
Template structure:
<!DOCTYPE html>
<html>
<head>
<meta charset="UTF-8">
<meta name="viewport" content="width=device-width, initial-scale=1.0">
<script src="https://cdn.jsdelivr.net/npm/react@19/umd/react.production.min.js"></script>
<script src="https://cdn.jsdelivr.net/npm/react-dom@19/umd/react-dom.production.min.js"></script>
<script src="https://cdn.tailwindcss.com"></script>
<link href="https://fonts.googleapis.com/css2?family=Noto+Sans+SC:wght@300;400;500;700;900&family=Noto+Serif+SC:wght@400;700&display=swap" rel="stylesheet">
<script>
tailwind.config = {
theme: { extend: { /* custom theme */ } }
}
</script>
<style>
/* Reset & base styles */
* { margin: 0; padding: 0; box-sizing: border-box; }
body { width: {{WIDTH}}px; height: {{HEIGHT}}px; overflow: hidden; }
</style>
</head>
<body>
<div id="root"></div>
<script type="text/babel" data-type="module">
// React component here
function Poster() {
return (/* JSX */);
}
ReactDOM.createRoot(document.getElementById('root')).render(<Poster />);
</script>
<script src="https://cdn.jsdelivr.net/npm/@babel/standalone/babel.min.js"></script>
</body>
</html>
IMPORTANT: Babel standalone script MUST come AFTER the text/babel script block.
Step 2: Render to PNG
python3 ~/.claude/skills/lovstudio-image-creator/scripts/render_to_png.py \
/path/to/poster.html \
-o output.png \
-W 1200 -H 630 \
--scale 2
Common aspect ratios:
| Ratio | Dimensions | Use Case |
|---|---|---|
| 16:9 | 1200×675 | Social media banner |
| 4:3 | 1200×900 | Presentation |
| 1:1 | 1080×1080 | Instagram post |
| 9:16 | 1080×1920 | Story / mobile poster |
| 3:4 | 900×1200 | Portrait poster |
| A4 | 794×1123 | Print poster (210mm×297mm @96dpi) |
Step 3: Display & Iterate
- Use
Readto display the PNG - Open with
open output.pngon macOS - User can request edits → modify the HTML → re-render
Mechanism 3: Prompt Engineering
Generate optimized prompts for external models. Include:
- Positive prompt: subject, style, lighting, quality tags
- Negative prompt: common defects to avoid
Format output as copyable code block.
Reference Image Support
When user provides a reference image:
- End-to-end: describe the style/composition in the prompt
- Code: analyze the layout, colors, typography → replicate in HTML/CSS
- Prompt: extract style keywords for the external model
Aspect Ratio
Always ask or infer the desired aspect ratio. Map to pixel dimensions using the table above.
FAQ
What does the lovstudio:image-creator skill do?
Generate images via multiple mechanisms. Supports: (1) End-to-end AI generation via Gemini/ZenMux — given a prompt, directly output an image. (2) Code-based rendering — generate HTML/React single-file, render to PNG via Playwright. (3) Prompt engineering — generate optimized prompts for external models (nano-banana-pro, etc.). Trigger words: image, generate image, 生图, render, poster, 海报, banner, card, 卡片
How do I install lovstudio:image-creator?
Run npx skills add https://github.com/lovstudio/skills --skill lovstudio:image-creator in your project. The skills CLI detects the agents you use and copies the skill into the right folder. For Claude Code you can also place the skill folder at ~/.claude/skills/lovstudio:image-creator/ (personal) or .claude/skills/lovstudio:image-creator/ (project).
Which AI agents can use lovstudio:image-creator?
Any agent that supports the open Agent Skills format (a folder with a SKILL.md file), including Claude Code, Codex, Cursor, GitHub Copilot, Gemini CLI, Windsurf, Cline, OpenCode and more.
Is lovstudio:image-creator safe to install?
No partner security audit is available yet. Skills can run commands and scripts, so read the SKILL.md and any bundled files before installing.
Who maintains lovstudio:image-creator?
It is published by lovstudio in lovstudio/skills. It has 55 recorded installs.
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