CellCog

image-cog

4 versions
CellCog·Mar 19, 2026

Summary

TL;DR: AI image generation powered by CellCog. Create images, edit photos, consistent characters, product photography, reference-based images, sets of images, style...

Image Cog uses CellCog's AI to generate and edit images. It handles text-to-image generation, photo editing, consistent character creation, product photography, reference-based images, and batch image sets.

What makes it stand out is the character consistency feature. You can create a character and generate multiple images of them in different poses and settings while keeping their appearance consistent.

If you need images for marketing, social media, or product showcases, this skill gives your agent creative capabilities that go beyond basic image generation.

Use cases

  • Creating consistent character images across multiple scenes for storytelling
  • Generating product photography mockups from text descriptions
  • Editing existing photos with AI-powered modifications
  • Producing sets of matching images for social media campaigns

Installation

Run this command to install the skill on your OpenClaw agent:

Install with OpenClaw
npx clawhub@latest install image-cog
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Updated
Mar 19, 2026

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The skill's requirements and runtime instructions are consistent with an image-generation helper that delegates API/sdk work to the separate 'cellcog' skill; it does not request unrelated credentials, installs, or system access itself.

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SKILL.md

SKILL.md
---
name: image-cog
description: AI image generation powered by CellCog. Create images, edit photos, consistent characters, product photography, reference-based images, sets of images, style transfer. Professional image creation with AI.
metadata:
  openclaw:
    emoji: "🎨"
author: CellCog
dependencies: [cellcog]
---

# Image Cog - AI Image Generation Powered by CellCog

Create professional images with AI - from single images to consistent character sets to product photography.

---

## Prerequisites

This skill requires the `cellcog` skill for SDK setup and API calls.

```bash
clawhub install cellcog
```

**Read the cellcog skill first** for SDK setup. This skill shows you what's possible.

**Quick pattern (v1.0+):**
```python
# Fire-and-forget - returns immediately
result = client.create_chat(
    prompt="[your image request]",
    notify_session_key="agent:main:main",
    task_label="image-task",
    chat_mode="agent"  # Use "agent" for simple images, "agent team" for complex
)
# Daemon notifies you when complete - do NOT poll
```

---

## What Models Do We Use

| Model | Provider | Primary Use |
|-------|----------|-------------|
| **Nano Banana 2** (Gemini 3.1 Flash Image) | Google | Default image generation — photorealistic scenes, complex compositions, text rendering, multi-turn character consistency |
| **GPT Image 1.5** | OpenAI | Transparent background images — logos, stickers, product cutouts, overlay graphics |
| **Recraft** | Recraft AI | Scalable vector illustrations (SVG) and icon generation |

**Nano Banana 2** is the default model for all image generation. CellCog's agents intelligently route to other models when the task calls for it — for example, transparent PNGs are automatically handled by GPT Image 1.5, and vector/icon requests go to Recraft. If you'd prefer a specific model, just mention it in your prompt (e.g., *"use ChatGPT/OpenAI image generation"*).

## What Images You Can Create

### Single Image Creation

Generate any image from a text description:

- **Scenes**: "A cozy coffee shop interior with morning light streaming through windows"
- **Portraits**: "Professional headshot of a confident woman in business attire"
- **Products**: "Minimalist product shot of a white sneaker on a marble surface"
- **Abstract**: "Geometric abstract art in navy and gold"
- **Nature**: "Misty mountain landscape at sunrise with a lone hiker"

### Image Editing

Transform existing images:

- **Style Transfer**: "Transform this photo into a watercolor painting"
- **Background Removal**: "Remove the background and place on a clean white backdrop"
- **Enhancement**: "Enhance the colors and add dramatic lighting"
- **Modification**: "Change the person's outfit to a red dress"

### Consistent Characters

Create multiple images of the same character in different scenarios:

- **Character Series**: "Create a tech entrepreneur character, then show them: 1) At their desk coding, 2) Presenting to investors, 3) Celebrating a product launch"
- **Mascot Variations**: "Design a friendly robot mascot, then create versions for: welcome page, error page, success message, loading screen"
- **Story Sequences**: "Create a main character, then illustrate them in 5 scenes of a journey"

This is powerful for:
- Comic strips and storyboards
- Marketing campaigns with consistent characters
- Video frame generation
- Brand mascots across contexts

### Product Photography Style

Professional product visuals:

- **Hero Shots**: "Product hero shot of a smartwatch on a gradient background"
- **Lifestyle Shots**: "Smartphone being used by a person in a modern living room"
- **Flat Lays**: "Flat lay of skincare products with botanical elements"
- **360 Views**: "Multiple angles of a leather handbag - front, side, back, detail"

### Sets of Related Images

Multiple cohesive images for campaigns or collections:

- **Social Media Sets**: "5 Instagram post images for a fitness brand - consistent style, varied content"
- **Website Heroes**: "3 hero images for a SaaS landing page - professional, modern, tech-focused"
- **Ad Variations**: "4 versions of a product ad with different backgrounds and moods"
- **Blog Illustrations**: "Set of 6 illustrations for a blog post about productivity tips"

### Reference-Based Generation

Use existing images as references for style, character, or composition:

- **Style Matching**: "Create a new image in the same artistic style as this reference"
- **Character Consistency**: "Using this person as reference, create a new scene with them hiking"
- **Brand Alignment**: "Create product images matching this brand's visual style"
- **Composition Reference**: "Create a similar composition but with different subjects"

---

## Image Specifications

| Aspect | Options |
|--------|---------|
| **Aspect Ratios** | 1:1 (square), 16:9, 9:16, 4:3, 3:4, 3:2, 2:3, 21:9 |
| **Sizes** | 1K (~1024px), 2K (~2048px), 4K (~4096px) |
| **Styles** | Photorealistic, illustration, watercolor, oil painting, anime, digital art, vector |
| **Formats** | PNG (default) |

**Size recommendations:**
- **1K**: Quick iterations, thumbnails, social media posts, drafts
- **2K**: Standard web content, presentations, marketing materials
- **4K**: Hero images, print materials, final deliverables where detail matters

---

## When to Use Agent Team Mode

For image generation, `chat_mode="agent team"` is recommended for:
- Complex scenes requiring multiple elements
- Consistent character series
- Reference-based generation requiring analysis
- Sets of related images

For simple single images, `chat_mode="agent"` can work faster.

---

## Example Image Prompts

**Professional headshot:**
> "Create a professional headshot of a friendly Asian woman in her 30s, wearing a navy blazer, soft studio lighting, neutral gray background, confident but approachable expression. 1:1 square, 2K quality, photorealistic."

**Product photography:**
> "Product shot of a premium wireless earbuds case, matte black finish, on a reflective dark surface with subtle blue accent lighting. Minimalist, high-end tech aesthetic. 4:3 landscape, 4K for hero image."

**Consistent character set:**
> "Create a character: young Black male software developer, casual style with glasses, friendly demeanor. Then create 4 images:
> 1. Working at a standing desk with multiple monitors
> 2. In a video call meeting, explaining something
> 3. At a coffee shop with laptop, thinking
> 4. Celebrating with team, high-fiving
> Keep the character exactly consistent across all images."

**Social media set:**
> "Create 5 Instagram posts for a plant-based meal delivery service:
> 1. Colorful Buddha bowl from above
> 2. Happy person unpacking delivery
> 3. Meal prep containers arranged neatly
> 4. Close-up of fresh ingredients
> 5. Before/after showing ingredients to finished dish
> Style: bright, fresh, appetizing, consistent warm color grading. 1:1 square format."

**Style transfer:**
> "Transform this uploaded photo of a city street into a Studio Ghibli anime style illustration. Keep the composition and elements but apply the characteristic Ghibli warmth, soft clouds, and whimsical details."

---

## Tips for Better Images

1. **Be descriptive**: "Woman in office" is vague. "Confident woman in her 40s, silver blazer, modern glass-walled office, warm afternoon light" is better.

2. **Specify style**: "Photorealistic", "digital illustration", "watercolor", "minimalist vector".

3. **Describe lighting**: "Soft natural light", "dramatic side lighting", "golden hour glow", "studio lighting".

4. **Include mood**: "Professional and confident", "warm and inviting", "energetic and vibrant".

5. **Mention composition**: "Rule of thirds", "centered symmetry", "close-up", "wide establishing shot".

6. **For consistency**: When creating character series, describe the character in detail first, then reference "the same character" in subsequent prompts.

Version history

v1.0.3Latest
Mar 19, 2026

**Now supports multi-model image generation, with automatic provider routing for different image tasks.** - Added a new section detailing which image generation models are used and their roles: Nano Banana 2 (default), GPT Image 1.5 (for transparent images), and Recraft (vector/icon generation). - Clarified that CellCog agents intelligently select the best model for your request, and users can request a specific model in the prompt. - No API pattern or usage changes. - All other documentation remains unchanged except for new model explanation.

v1.0.2
Feb 11, 2026

- Added explicit author (CellCog) and dependencies ([cellcog]) metadata to skill manifest. - Clarified prerequisite to require the `cellcog` skill (previously “CellCog mothership skill”). - Minor improvements to formatting and dependency instructions for clarity. - No changes to feature set or functionality.

v1.0.1
Feb 5, 2026

- Added an emoji to the skill metadata for improved identification. - Updated example usage for image generation to show the new fire-and-forget pattern using `create_chat` (v1.0+). - Clarified SDK setup instructions and removed references to the deprecated `sessions_spawn` pattern. - Small documentation improvements for clarity and accuracy.

v1.0.0
Feb 4, 2026

- Initial release of image-cog skill: AI image generation powered by CellCog. - Supports creation of single images, editing, style transfer, consistent character sets, and product photography. - Enables reference-based images, sets of related images, style matching, and composition-based generation. - Integrates with CellCog mothership skill for setup and API calls. - Provides detailed documentation on prompt patterns, image specifications (aspect ratios, sizes, styles), and usage tips. - Includes example prompts for professional use cases and guidance for both simple and complex image generation workflows.

Frequently asked questions

CellCog is the AI image generation service that powers this skill. It provides the model and API for generating, editing, and creating consistent image sets.

Installation method

Send this prompt to your agent to install the skill

npx clawhub@latest install image-cog
Download ZIP

Skill info

Versionv1.0.3
LicenseMIT-0
AuthorCellCog
UpdatedMar 19, 2026

Files

SKILL.md7.7 KB

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Skill data sourced from ClawHub