Generate high-quality AI images using SDXL and Stable Diffusion 3 directly through your command line or agent workflow.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install stability-ai
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 stability-ai 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 Stability AI Image Generation?
The Stability AI skill enables developers and AI agents to programmatically create stunning visuals using industry-leading models like SDXL 1.0 and Stable Diffusion 3. By integrating this capability into Openclaw Skills, users can transform text descriptions into high-resolution images, complete with metadata and configurable parameters like aspect ratios and style presets. This skill bridges the gap between creative prompt engineering and automated asset generation, making it an essential tool for digital artists and developers building media-rich applications.
Stability AI Image Generation Use Cases
- Automating the creation of website hero images or blog post headers via Openclaw Skills.
- Generating unique textures or concepts for game development and digital art.
- Integrating image generation into AI agent workflows for visual feedback or UI prototyping.
- Rapidly iterating on creative concepts using negative prompts and specific style presets.
How Stability AI Image Generation Works
- The user provides a text prompt or trigger command to the agent.
- The skill processes input parameters such as aspect ratio, style preset, and negative prompt.
- A request is sent to the Stability AI API using the configured API key.
- The generated image is saved locally in the designated output directory.
- A corresponding JSON metadata file is created to store generation parameters for future reference.
- The system performs an auto-cleanup of older files to maintain storage efficiency.
Stability AI Image Generation Setup
To get started with this addition to your Openclaw Skills library, follow these steps:
- Copy the environment template:
cp .env.example .env
- Secure your STABILITY_API_KEY from the Stability AI dashboard and add it to the .env file.
- Optional: Configure a custom API_HOST if you are using a proxy or specific regional endpoint.
- Run the generation script; dependencies will be installed automatically on the first execution:
scripts/generate "A cinematic sunset over a futuristic city" --ratio 16:9 --style cinematic
Stability AI Image Generation Data Schema & Taxonomy
The skill maintains a structured output directory for organized asset management. Each generation produces two distinct files:
| File Type | Description |
|---|---|
| Image File | The visual output in PNG, JPG, or WebP format. |
| JSON Metadata | A file containing the prompt, negative prompt, model used, seed, and timestamp. |
The JSON schema includes key details such as prompt text, negative prompts, settings (CFG scale, steps, aspect ratio), and API information (version and model identifier).
Stability AI Image Generation Advanced Features
- Granular control over generation using custom CFG scales and step counts for high-fidelity outputs.
- Support for experimental V2 API endpoints via simple CLI flags.
- Extensive library of style presets ranging from neon-punk and pixel-art to origami and isometric views.
- Reproducibility management using fixed seeds within the Openclaw Skills environment.
- Automatic storage optimization that retains only the 20 most recent generations to prevent local disk bloat.
SKILL.md
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