Image Cog

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name: image-cog 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] author: CellCog homepage: https://cellcog.ai dependencies: [cellcog]

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Image Cog - AI Image Generation 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):

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):

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"])

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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"

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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

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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.

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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."

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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.

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If CellCog is not installed

Run /cellcog-setup (or /cellcog:cellcog-setup depending on your tool) to install and authenticate. OpenClaw users: Run clawhub install cellcog instead. Manual setup: pip install -U cellcog and set CELLCOG_API_KEY. See the cellcog skill for SDK reference.