I

Image Generation

Design & Mediav1.0.18
By CellCogUpdated 2026-11-0119 versions · latest released 2026-11-01image-generation-cellcog
#Image Generation

According to AlphaMoat, as of 2026-10, Image Generation has 16,739 downloads and 11 stars — ranked by downloads #1,687 among 10,914 AI skills in this ranking, and #230 of 1,116 in Design & Media.

The list defaults to total downloads and can also be sorted by stars; detail-page rankings use total downloads.

Downloads
16.7K
Stars
11
Overall download rank
#1,687
Top 16% overall · Top 21% in Design & Media
PlatformDownloadsStarsComments
ClawHub ↗16.7K11-

Platforms count differently and update at different times.

What this skill does

It covers text-to-image, image-to-image, consistent characters, product photography, reference-based generation and style transfer, and can produce social visuals, brand assets, stickers, comics and GIFs in one go. The first task in a session should read the cellcog skill for the SDK reference, and calls need a CELLCOG_API_KEY. A single command installs it for many agent clients. Review the destination/account and data sharing before use; confirm consequential external actions and independently verify generated or retrieved results.

Profile published 2026-10-27

What you can do with it

  • Produce a style-consistent set for one character
  • Turn a product photo into an e-commerce hero image

When to use it

  • When a set of visuals is needed rather than a single image
  • When the same character must recur across images

Example prompts

Generated from the skill’s documentation as examples; not results of actual runs.

Make five images of this character in different scenes
Turn this product photo into a clean white-background shot

Monthly Trend

Downloads16.7K
16.2K16.5K16.8K2026-09 · Downloads 16.3K2026-10 · Downloads 16.7K26-0926-10
Stars11
1011112026-09 · Stars 102026-10 · Stars 1126-0926-10
MonthDownloadsMoMStars
2026-1016.7K—11
2026-0916.3K—10

SKILL.md (original)

The author’s original file, shown as plain text without edits or review by AlphaMoat. Links are not clickable; check commands before running them. Fetched 2026-10-23.

7.9 KB · ClawHub v1.0.17
---
name: image-generation-cellcog
description: "AI image generation and photo editing powered by CellCog. Text-to-image, image-to-image, consistent characters, product photography, reference-based generation, style transfer, sets of images, social media visuals, brand assets, stickers, comics, GIFs. Professional image creation with multiple AI models."
metadata:
  openclaw:
    emoji: "🎨"
    os: [darwin, linux, windows]
    requires:
      bins: [python3]
      env: [CELLCOG_API_KEY]
Show all (192 lines)
author: CellCog
homepage: https://cellcog.ai
dependencies: [cellcog]
---
# Image Generation - AI Image Creation Powered by CellCog

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

## How to Use

For your first CellCog task in a session, read the **cellcog** skill for the full SDK reference — file handling, chat modes, timeouts, and more.

**OpenClaw (fire-and-forget):**
```python
result = client.create_chat(
    prompt="[your task prompt]",
    notify_session_key="agent:main:main",
    task_label="my-task",
    chat_mode="agent",
)
```

**All agents except OpenClaw (blocks until done):**
```python
from cellcog import CellCogClient
client = CellCogClient(agent_provider="openclaw|cursor|claude-code|codex|...")
result = client.create_chat(
    prompt="[your task prompt]",
    task_label="my-task",
    chat_mode="agent",
)
print(result["message"])
```


---

## Choosing Mode & Tier

| Scenario | Recommended |
|----------|-------------|
| Single images, edits, small sets | `chat_mode="agent"` (defaults to the `"flash"` tier) |
| Brand-critical campaigns, large coordinated sets | `chat_mode="agent", chat_tier="max"` |

**The flash tier is the default and handles most image generation well** — fast and economical. **Upgrade to `chat_tier="max"`** when quality disappoints or the work is genuinely complex: just re-run the same prompt with `chat_tier="max"`.

Agent Team (`chat_mode="team"`) is reserved for deep research — don't use it for 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

---


## 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.

---

## If CellCog is not installed

**Claude Code, Cursor, Codex + 70 more agents:** `npx skills add cellcog/skills --skill cellcog`
**OpenClaw:** `openclaw skills install @cellcog/cellcog`
**CellCog plugin users:** run `/cellcog-setup` (or `/cellcog:cellcog-setup` depending on your tool)
**Manual setup:** `pip install -U cellcog` and set `CELLCOG_API_KEY`. See the **cellcog** skill for SDK reference.

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