dvcrn Banana Cog — 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."
Prerequisites
This skill requires the cellcog skill for SDK setup and API calls.
clawhub install cellcog
Read the cellcog skill first for SDK setup. This skill shows you what's possible.
Quick pattern (v1.0+):
result = client.create_chat(
prompt="[your image request]",
notify_session_key="agent:main:main",
task_label="image-task",
chat_mode="agent"
)
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 ( |
| Styles | Photorealistic, illustration, watercolor, oil painting, anime, digital art, vector |
Chat Mode
| Scenario | Recommended Mode |
|---|---|
| Single images, quick edits | "agent" |
| Character-consistent series, complex compositions | "agent" |
| Large sets with brand guidelines | "agent team" |
Use "agent" for most 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"