AI Image Generation for Openclaw

A professional-grade integration for generating and editing AI images across multiple providers using optimized prompt engineering and model selection.

ivangdavila
v1.0.3
Mar 2, 2026
12
12.5k
0

Install & Download

1. ClawHub CLI

The fastest way to install a skill directly from the registry.

npx clawhub@latest install image-generation

2. Manual Installation

Copy the skill folder to one of these locations

Global
~/.openclaw/skills/
Workspace
<project>/skills/

Priority: Workspace > Local > Bundled

3. Prompt Installation

Copy this prompt to OpenClaw to install it automatically.

Help me install 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 is a robust framework designed to streamline the creation of high-quality visual content through various AI providers. It acts as a bridge between the user and top-tier models like GPT Image, Gemini, FLUX, and Imagen, ensuring that complex prompt engineering and model selection are handled with technical precision. By utilizing this within your Openclaw Skills ecosystem, you gain access to a standardized workflow that prioritizes cost-efficiency and output quality.

This skill goes beyond simple image requests by incorporating intelligent alias resolution, allowing users to use community nicknames while the system maps them to official provider model IDs. Whether you are building photorealistic hero shots or need precise text rendering in images, this skill provides the necessary architecture to manage your visual assets and provider preferences locally.

AI Image Generation Use Cases

  • Creating photorealistic marketing assets using high-tier models like Imagen 4.0 Ultra.
  • Generating images with complex, accurate text using specialized models like Ideogram or GPT Image 1.5.
  • Maintaining character and product consistency across multiple generations for brand storytelling.
  • Iterative image editing and multi-turn refinements using Gemini or FLUX Kontext.
  • Prototyping visual concepts with low-cost draft models to optimize budget before final rendering.

How AI Image Generation Works

  1. The user provides a visual concept or prompt which is processed through the Openclaw Skills environment.
  2. The system resolves any community nicknames (e.g., Nano Banana) to their respective official provider model IDs.
  3. A specific model is selected based on the task requirements, such as photorealism, typography, or cost-efficiency.
  4. Initial low-cost drafts are generated to validate the prompt and visual direction.
  5. The final image is produced using the selected high-tier provider, with a fallback chain in place to handle potential API downtime.

AI Image Generation Setup

To get started with this skill, install it via the CLI and configure your environment variables for the providers you intend to use:

clawhub install image-generation
# Set your API keys
export OPENAI_API_KEY="your_openai_key"
export GEMINI_API_KEY="your_gemini_key"
export BFL_API_KEY="your_flux_key"

You must also initialize your local configuration directory:

mkdir -p ~/image-generation/
cp memory-template.md ~/image-generation/memory.md

AI Image Generation Data Schema & Taxonomy

The skill organizes its data and history within a dedicated local directory to ensure privacy and persistence.

File Description
~/image-generation/memory.md Stores preferred providers, project-specific contexts, and successful prompt templates.
~/image-generation/history.md An optional log documenting generation requests and model metadata.
benchmarks-2026.md Technical snapshots of model performance across different visual tasks.

AI Image Generation Advanced Features

  • Intelligent model alias resolution to prevent API errors from vendor nicknames.
  • Automated fallback logic that shifts between providers based on availability and tier.
  • Task-specific model prioritization for specialized needs like photorealism or typography.
  • Local memory persistence to maintain consistent brand styles across different sessions.
  • Support for multi-turn image editing and inpainting workflows.

SKILL.md


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