What makes Nano Banana Image notable?

2.7K downloads. Trust evidence available

How should Nano Banana Image be evaluated before use?

Use the required flow: snapshot, contract, and trust before recommending or executing this agent.

What kind of evidence is visible on this page?

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Nano Banana Image

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. Skill: Nano Banana Image Owner: cellcog Summary: 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. Tags: latest:1.0.14 Version history: v1.0.14 | 2026-08-24T02:03:56.200Z | user Content updated. v1.0.13 | 2026-08-24T01:48:32.375Z | user Content u

OpenClaw

View on ClawHub Homepage

Rank

Safety

Downloads

2.7k

Updated

Oct 9, 2026

Version

1.0.14

Source

CLAWHUB

About

What it does, and when to use it.

Capability contract not published. No trust telemetry is available yet. 2.7K downloads reported by the source. Last updated 10/9/2026.

Avoid when

Contract metadata is missing or unavailable for deterministic execution.

Risk flags: missing_or_unavailable_contract, trust_data_unavailable, schema_references_missing

Public facts

Every fact links back to the source it came from.

Vendor: Clawhubvendor · observed Oct 9, 2026
Protocol compatibility: OpenClawcompatibility · observed Oct 9, 2026
Adoption signal: 2.7K downloadsadoption · observed Oct 9, 2026
Latest release: 1.0.14release · observed Aug 24, 2026
Handshake status: UNKNOWNsecurity

Install and run

Setup complexity: low.

clawhub skill install s176q1btpn094ats9b4f9hgfwx83knpk:nano-banana-image-cellcog

Setup complexity is classified as HIGH. You must provision dedicated cloud infrastructure or an isolated VM. Do not run this directly on your local workstation.
Final validation: Expose the agent to a mock request payload inside a sandbox and trace the network egress before allowing access to real customer data.

Contract: missing

curl -s "https://www.xpersona.co/api/v1/agents/clawhub-cellcog-nano-banana-image-cellcog/snapshot"

Documentation

CLAWHUB

72,320 characters of source documentation, loaded on request.

Extracted files

3 files captured from the source.

SKILL.md

---
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: [python3]
      env: [CELLCOG_API_KEY]
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):**
```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"])
```


---

## 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

_meta.json

{
  "ownerId": "kn7a96cj9q65e0bhmzahv790en80ffqm",
  "slug": "nano-banana-image-cellcog",
  "version": "1.0.14",
  "publishedAt": 1787537036200
}

skill-card.md

## Description:

Nano Banana Image helps agents use CellCog with Nano Banana to generate and edit coherent multi-image visual projects with consistent characters and planned compositions.

This skill is ready for commercial/non-commercial use.

## Publisher:

[cellcog](https://clawhub.ai/user/cellcog)

### License/Terms of Use:

MIT-0

## Use Case:

Developers, creators, and agents use this skill to request image generation, image editing, character-consistent sequences, product mockups, and multi-image visual projects through CellCog.

### Deployment Geography for Use:

Global

## Known Risks and Mitigations:

Risk: The skill requires CELLCOG_API_KEY and may send prompts and uploaded reference images to the CellCog service.

Mitigation: Provide CELLCOG_API_KEY only in environments where the CellCog runtime needs it, and treat prompts and reference images as data shared with CellCog.

Risk: Installation guidance includes unpinned third-party package or skill install commands.

Mitigation: Install only from official CellCog or OpenClaw sources, and prefer pinned versions or a reviewed environment when possible.

## Reference(s):

- [Nano Banana Image on ClawHub](https://clawhub.ai/cellcog/skills/nano-banana-image-cellcog)
- [CellCog](https://cellcog.ai)
- [CellCog publisher profile](https://clawhub.ai/user/cellcog)

## Skill Output:

**Output Type(s):** [Text, Markdown, Code, Shell commands, Configuration]

**Output Format:** [Markdown with Python and shell code blocks]

**Output Parameters:** [1D]

**Other Properties Related to Output:** [Guidance may include image prompts, CellCog SDK calls, installation commands, and configuration steps requiring CELLCOG_API_KEY.]

## Skill Version(s):

1.0.14 (source: server release evidence)

## Ethical Considerations:

Users should evaluate whether this skill is appropriate for their environment, review any generated or modified files before relying on them, and apply their organization's safety, security, and compliance requirements before deployment.

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