An advanced AI image generation and editing skill for OpenClaw that leverages the Gemini Image API with automated model failover for maximum reliability.
The fastest way to install a skill directly from the registry.
npx clawhub@latest install nanobanana-pro-fallback
Copy the skill folder to one of these locations
~/.openclaw/skills/ <project>/skills/ Priority: Workspace > Local > Bundled
Copy this prompt to OpenClaw to install it automatically.
Help me install nanobanana-pro-fallback using Clawhub. If Clawhub is not installed, install it first (npm i -g clawhub).
Get the raw skill files in a ZIP archive.
Nano Banana Pro Fallback is a specialized utility designed to bring robust image generation and editing capabilities to the Openclaw Skills ecosystem. By utilizing the Gemini Image API, it allows users to create high-quality visuals from text prompts or perform complex image-to-image transformations.
The skill is engineered for reliability in production environments. If a generation request fails on the primary model, it automatically attempts the request using a secondary model in a fallback chain. This ensures that your automated workflows remain uninterrupted. It is a perfect example of how Openclaw Skills can extend the utility of AI agents by providing direct access to state-of-the-art multimodal capabilities.
This skill requires the uv tool for execution. Ensure it is installed on your system:
brew install uv
Configure your API key as an environment variable or within your OpenClaw configuration file:
export GEMINI_API_KEY='your-api-key-here'
To run the skill, use the wrapper script or the direct uv run command as follows:
uv run {baseDir}/scripts/generate_image.py --prompt 'a sunset over a digital city' --filename 'cityscape.png' --resolution 2K
The skill manages inputs and outputs through a structured CLI interface and local file storage. This organization makes it highly compatible with other Openclaw Skills.
| Attribute | Specification |
|---|---|
| Supported Models | gemini-2.5-flash-image, gemini-2.0-flash-exp-image-generation |
| Output Formats | Standard image files (PNG/JPG) |
| Resolution Options | 1K (default), 2K, 4K |
| Input Limit | Up to 14 images for multi-image composition |
| Meta Signaling | Outputs MEDIA: [path] for automated agent integration |
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