An advanced AI imaging skill utilizing the AceData Nano Banana API for high-resolution image creation and transformation.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ace-banana
2. Manual Installation
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
3. Prompt Installation
Copy this prompt to OpenClaw to install it automatically.
Help me install ace-banana using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Prefer to download?
Get the raw skill files in a ZIP archive.
What is Ace Banana2 Image Generation?
Ace Banana2 is a versatile image generation and editing tool integrated into the Openclaw Skills ecosystem. It leverages the powerful AceData Nano Banana API to provide developers and creators with a seamless interface for text-to-image and image-to-image workflows. By utilizing models like nano-banana-2, users can generate professional-grade visuals at up to 4K resolution.
This skill is designed for high-performance creative tasks, offering deep customization for aspect ratios and resolutions. Whether you need to generate a series of marketing assets or transform existing local photos into art, Ace Banana2 within Openclaw Skills ensures a streamlined, automated process that saves output directly to your local workspace.
Ace Banana2 Image Generation Use Cases
- Rapidly generating high-quality marketing assets from simple text descriptions.
- Transforming existing local images using AI-powered edit modes like watercolor or cyberpunk styles.
- Automating batch image generation for creative projects requiring multiple variations.
- Producing ultra-high-definition 4K visuals for desktop backgrounds or professional presentations.
- Integrating high-speed image generation into AI-assisted coding workflows using Openclaw Skills.
How Ace Banana2 Image Generation Works
- The user provides a text prompt or an image path via the command line or as part of an Openclaw Skills workflow.
- The skill validates input parameters such as resolution, model selection, and aspect ratio.
- If local images are provided, the script automatically resizes and converts them to Base64 to meet API constraints.
- A secure request is sent to the AceData Nano Banana API using the stored Bearer Token.
- Upon completion, the script downloads the generated images from the CDN and saves them to a timestamped folder on the user's desktop.
Ace Banana2 Image Generation Setup
To begin using this tool within Openclaw Skills, ensure Python 3.7+ is installed and follow these steps:
- Install the required libraries:
pip install requests pillow
- Obtain an API key from the AceData registration page.
- Run the script once to configure your Bearer Token:
python scripts/generate_images.py
The token will be securely stored in a .env file for all future Openclaw Skills sessions.
Ace Banana2 Image Generation Data Schema & Taxonomy
| Component | Data Type | Description |
|---|---|---|
| Output Folder | File System | Dated folders located on the Desktop (e.g., Desktop/2023-10-27/) |
| Image Format | .png / .jpg | High-resolution outputs up to 4K |
| Metadata | JSON | Full API response logs including timestamps and unique IDs |
| Configuration | .env | Local environment file storing the Bearer Token |
All generated files are organized by timestamp to ensure easy retrieval within the Openclaw Skills environment.
Ace Banana2 Image Generation Advanced Features
- Image-to-Image (Edit) Mode: Support for up to 4 local image uploads for complex transformations.
- Automated Image Pre-processing: Smart resizing for files larger than 1MB to prevent API timeout errors.
- High-Speed Batching: Simultaneous generation of multiple image variants in a single API call.
- Multi-Model Support: Access to nano-banana-2, nano-banana-pro, and legacy models for varied output styles.
- Extensive CLI Controls: Fine-grained control over 16:9, 1:1, and 4:3 aspect ratios for professional output through Openclaw Skills.
SKILL.md
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