AI Image Generation

What This Skill Does

The AI Image Generation skill for OpenClaw is a comprehensive orchestration tool designed to streamline the production of synthetic visuals. Rather than locking users into a single model, this skill acts as an intelligent router and prompt engineer that connects you to top-tier providers including OpenAI, Google, Black Forest Labs, and more. It manages the complexities of model versioning, credential handling, and prompt optimization, ensuring that you select the right tool for the specific technical or creative requirements of your project. By utilizing local memory files in ~/image-generation/, the skill keeps track of your preferred styles and successful prompt patterns across multiple sessions.

Installation

To integrate this skill into your OpenClaw environment, execute the following command in your terminal: clawhub install openclaw/skills/skills/ivangdavila/image-generation After installation, initialize your configuration by reviewing setup.md located in the package directory. Ensure you have properly set up your memory.md file to persist project-specific preferences and credentials.

Use Cases

This skill is built for users requiring high-fidelity image production, rapid prototyping, or consistent character/product branding. It is ideal for:

• Marketing & Design: Generating high-resolution hero shots or marketing assets.
• Content Creation: Creating consistent image series for blogs or social media.
• Rapid Prototyping: Iterating quickly through low-cost drafts before finalizing high-resolution renders.
• UI/UX Mockups: Generating specific layouts with precise text placement using models specialized in typography.

Example Prompts

1. "Generate a photorealistic hero shot of a modern coffee machine on a marble countertop, using FLUX ultra for maximum detail."
2. "I need 4 fast, low-cost drafts of a futuristic city skyline. Use the mini model variant and provide the results in my history log."
3. "Create a consistent character sheet for a cyberpunk detective; use the flux-kontext-max model and save the successful prompt recipe to my memory file."

Tips & Limitations

• Draft Cheap, Finish Expensive: Always start with cost-effective models to validate composition, then shift to premium tiers for final rendering.
• Resolution & Consistency: Use the reference folders to keep track of previous iterations. If consistency fails, review the prompting.md guide for specialized techniques.
• Avoid Legacy Models: Unless strictly required for legacy integration, skip DALL-E models in favor of current high-performance providers like FLUX or Gemini image variants.
• Check Benchmarks: Use benchmarks-2026.md frequently to ensure you are not relying on outdated model performance data.