A comprehensive AI skill for generating multi-panel comic strips, manga pages, and consistent character art from text and photos.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install comic-panel-generation
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install comic-panel-generation using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Comic Panel Generation?
Comic Panel Generation is a sophisticated AI-driven toolset designed to streamline the production of visual narratives. By utilizing each::sense AI, this skill allows creators to generate everything from individual cinematic panels to complex, multi-page manga layouts with specific reading flows. It excels at bridging the gap between raw text prompts and professional-grade illustrations, making it an essential component of the Openclaw Skills ecosystem for artists, writers, and developers.
The skill provides deep customization for various artistic styles, including Western superhero aesthetics, Japanese manga with screentones, and Korean-style vertical webtoons. Its ability to maintain character consistency across multiple requests makes it uniquely suited for long-form storytelling and graphic novel production, providing a level of continuity often difficult to achieve with standard image generators.
Comic Panel Generation Use Cases
- Generating 3-4 panel horizontal comic strips for digital marketing and social media.
- Creating full-page manga layouts featuring speed lines, dynamic panel sizes, and right-to-left reading flow.
- Developing mobile-optimized vertical webtoons for digital publishing platforms.
- Converting portraits or scene photos into stylized comic book art or noir illustrations.
- Designing high-impact comic book covers with dedicated space for titles and branding.
- Maintaining persistent character designs throughout an entire story arc using session tracking.
How Comic Panel Generation Works
- Define the layout requirements, such as aspect ratio (1:1, 16:9, 2:3) and the number of panels needed.
- Specify the target art style, ranging from high-contrast noir to vibrant pop art or detailed manga.
- Submit a detailed prompt via the Openclaw Skills interface to the each::sense API, including character descriptions and action details.
- Use a session_id for multi-turn requests to ensure that character features like hair color, clothing, and accessories remain consistent across different panels.
- Select the processing mode—'max' for high-fidelity, print-ready output or 'eco' for rapid concept sketching and storyboarding.
Comic Panel Generation Setup
To integrate this skill from Openclaw Skills, you must have an active EachLabs API key. Configure your environment and initiate a generation using the following structure:
# Set your API Key
export EACHLABS_API_KEY="your_api_key"
# Generate a superhero panel
curl -X POST https://sense.eachlabs.run/chat \
-H "Content-Type: application/json" \
-H "X-API-Key: $EACHLABS_API_KEY" \
-d '{
"message": "Superhero landing on a rooftop at night, high-action western comic style",
"mode": "max"
}'
Comic Panel Generation Data Schema & Taxonomy
The skill organizes comic data based on aspect ratios and layout types. Use the following schema to define your outputs:
| Format | Aspect Ratio | Primary Application |
|---|---|---|
| Single Panel | 1:1 | Standalone social media art |
| Wide Panel | 16:9 | Cinematic landscapes and action |
| Manga Page | 2:3 | Standard print book layouts |
| Webtoon | 1:3+ | Vertical mobile scrolling sequences |
| Comic Strip | 3:1 | Traditional horizontal 4-panel humor strips |
All requests can be tied to a session_id to maintain a metadata-linked character state across the generation lifecycle.
Comic Panel Generation Advanced Features
- Character Consistency Engine: Maintains visual identity across infinite panels using session-based memory.
- Multi-Panel Layout Logic: Automatically handles complex page distributions and dynamic panel sizing.
- Photo-to-Comic Pipeline: Advanced stylization filters that transform real images into halftone or hand-drawn comic styles.
- Dialogue Area Mapping: Generates compositions with dedicated space for speech bubbles and thought clouds.
- Quality Tiering: Toggle between 'max' for production-grade assets and 'eco' for cost-effective prototyping within Openclaw Skills.
SKILL.md
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