Access over 50 industry-leading AI image generation models directly through a unified CLI interface for your coding agent.
Install & Download
1. ClawHub CLI
The fastest way to install a skill directly from the registry.
npx clawhub@latest install ai-image-generation
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 ai-image-generation 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 AI Image Generation?
The AI Image Generation skill enables your AI agents to create stunning visuals using a massive library of 50+ state-of-the-art models. By leveraging the inference.sh infrastructure, this tool provides a bridge between plain text prompts and professional-grade assets, supporting everything from rapid prototyping with FLUX to high-fidelity 4K cinematic renders with Seedream.
Integrating this within your Openclaw Skills library ensures your developer environment has immediate access to cutting-edge generative AI without switching contexts. It simplifies the complexity of managing multiple API keys and provider-specific SDKs by offering a standardized way to interact with tools like Gemini 3 Pro, Grok Imagine, and Topaz Upscaler.
AI Image Generation Use Cases
- Rapidly generate professional product mockups and concept art for design presentations.
- Create high-fidelity social media graphics and marketing visuals using natural language prompts.
- Perform professional-grade image upscaling and enhancement for existing digital assets.
- Render precise text within images for posters and branding using models like Reve and Seedream.
- Automate image generation workflows within larger development pipelines using Openclaw Skills.
How AI Image Generation Works
- The user or agent initiates an image request using specific triggers like 'generate image' or model-specific commands.
- The skill utilizes the infsh CLI to connect to the inference.sh API, passing the prompt and configuration parameters.
- A specific model (e.g., FLUX Dev LoRA or Grok Imagine) processes the input data on high-performance inference servers.
- The skill returns the generated image URL or raw data to the agent's workspace for immediate use or further processing.
- The resulting assets are managed through the Openclaw Skills ecosystem for seamless integration with other developer tools.
AI Image Generation Setup
Prerequisites
- Active inference.sh account
Installation
# Install the inference.sh CLI
curl -fsSL https://cli.inference.sh | sh && infsh login
# Verify installation by listing available image apps
infsh app list --category image
AI Image Generation Data Schema & Taxonomy
| Field | Description | Type |
|---|---|---|
prompt |
The textual description of the image to be generated. | String |
image_url |
The remote source URL for image-to-image or upscaling tasks. | URL String |
aspect_ratio |
The dimensions of the output (e.g., 16:9, 1:1, 4:3). | String |
input |
A JSON object containing model-specific parameters and LoRA settings. | JSON |
output |
A JSON response containing image links or processing status. | JSON |
AI Image Generation Advanced Features
- Custom LoRA support for specialized styles and character consistency across generation sessions.
- Multi-model switching to compare outputs between FLUX, Gemini, and Grok within a single workflow.
- Natural language image editing and text rendering capabilities for complex graphic design tasks.
- Batch processing for stitching multiple images or creating complex visual layouts automatically.
- Deep integration with other Openclaw Skills for video generation, background removal, and AI avatars.
SKILL.md
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