Image Generation

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):

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

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

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

Claude Code, Cursor, Codex + 70 more agents: npx skills add cellcog/skills --skill cellcog OpenClaw: clawhub install 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.