| name | nano-banana-image-cellcog |
| description | AI multi-image generation powered by CellCog via Nano Banana. 10-20 coherent images in one prompt, character consistency across scenes, production-grade composition. Nano Banana AI, Nano Banana Pro, Gemini image generation. |
| metadata | {"openclaw":{"emoji":"🍌","os":["darwin","linux","windows"],"requires":{"bins":"[Truncated]","env":"[Truncated]"}}} |
| author | CellCog |
| homepage | https://cellcog.ai |
| dependencies | ["cellcog"] |
Nano Banana Image — Nano Banana × CellCog
Nano Banana × CellCog. Complex multi-image jobs, executed perfectly, from a single prompt.
Nano Banana is an incredible image model. CellCog makes it do things you can't do by calling it directly — orchestrating 10, 20, even 30 coherent images in one request with consistent characters, planned compositions, and intelligent scene progression. Not single images — complete visual projects.
What CellCog adds on top of Nano Banana:
Reasoning → Scene Planning → Character Design → Image Generation
→ Consistency Verification → Composition Review → Delivery
CellCog's reasoning layer plans scenes before a single pixel is generated — selecting optimal parameters, maintaining character identity across sequences, and orchestrating complex multi-image workflows. This is the difference between "generate an image" and "execute a visual project."
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"])
What You Can Create
Photorealistic Image Generation
Create stunning images from text descriptions:
- Portraits: "Create a professional headshot with warm studio lighting"
- Product Shots: "Generate a hero image for a premium smartwatch on a dark surface"
- Scenes: "Create a cozy autumn café interior with morning light"
- Food Photography: "Generate an overhead shot of a colorful Buddha bowl"
Character Consistency
Nano Banana excels at maintaining character identity across multiple images — and CellCog's orchestration takes this further by planning entire character arcs:
- Character Series: "Create a tech entrepreneur character, then show them in 4 different scenes"
- Brand Mascots: "Design a mascot and generate it in multiple poses and contexts"
- Story Sequences: "Create a character and illustrate them across 5 story beats"
Multi-Image Composition
Blend elements from multiple reference images:
- Style Fusion: "Combine the color palette of image A with the composition of image B"
- Character Placement: "Place this person into a new environment while preserving their likeness"
- Product Mockups: "Put this product into a lifestyle setting"
Image Editing
Transform and enhance existing images:
- Style Transfer: "Transform this photo into a Studio Ghibli illustration"
- Background Swap: "Place this product on a clean marble surface"
- Enhancement: "Add dramatic lighting and cinematic color grading"
- Modification: "Change the season from summer to winter in this landscape"
Image Specifications
| Aspect | Options |
|---|
| Aspect Ratios | 1:1, 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 |
Choosing Mode & Tier
| Scenario | Recommended |
|---|
| Quick generations and edits | chat_mode="agent" (defaults to the "flash" tier) |
| Large sets with strict brand guidelines | chat_mode="agent", chat_tier="max" |
The flash tier is the default and handles most image work 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 work.
Tips for Better Images
-
Be descriptive: "Woman in office" → "Confident woman in her 40s, silver blazer, modern glass-walled office, warm afternoon light"
-
Specify style: "photorealistic", "digital illustration", "watercolor", "anime"
-
Describe lighting: "Soft natural light", "dramatic side lighting", "golden hour glow"
-
For character consistency: Describe the character in detail first, then reference "the same character" in subsequent prompts.
-
Include composition: "Rule of thirds", "close-up portrait", "wide establishing shot"
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.