image-generation

Generate images from JSON prompts and reference images via Python script.

Updated Mar 5, 2026
One-click install
npx skills add https://github.com/kyirexy/dearclaw --skill image-generation-kyirexy
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: image-generation
Source: https://github.com/kyirexy/dearclaw/tree/main/skills/public/image-generation
Command: npx skills add https://github.com/kyirexy/dearclaw --skill image-generation-kyirexy

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill includes scripts (resource) and references (resource) components.

What problem does it solve?

This Skill automates the creation of high-quality images from detailed text descriptions and optional reference images, transforming creative ideas into visual realities.

Core Features & Use Cases

  • Structured Prompting: Generates images using detailed, JSON-formatted prompts for precise control.
  • Reference Image Support: Incorporates visual guidance from provided images to influence style, composition, and content.
  • Use Case: Generate a unique character concept for a game, visualize a product in a specific setting, or create an artistic scene based on a textual description.

Quick Start

Use the image-generation skill to create an image of a futuristic cityscape at sunset.

Frequently Asked Questions about image-generation

High-intent search queries and answers about installing and using this skill.

FAQPage Schema
How do I generate images from text descriptions using structured prompts?

To generate images from text descriptions, you provide detailed, JSON-formatted prompts specifying characters, scenes, or products. This structured prompting approach allows precise control over the visual creation process and outputs the synthesized image to a specified file.

Can I use a reference image to guide AI art generation?

Yes, you can use a reference image to guide AI art generation. The skill incorporates visual guidance from provided images to directly influence the style, composition, and content of the final generated image.

What parameters can I control during text-to-image synthesis?

During text-to-image synthesis, you can control parameters like the aspect ratio and the output file name. You define these settings alongside your detailed textual prompt to achieve the desired visual result.

Do I need a Python script to automate image generation?

Yes, you need a Python script to automate image generation. The skill operates by executing a Python script that integrates with external APIs for image synthesis based on your structured JSON prompts.

What is the best way to create consistent character concepts for a game?

The best way to create consistent character concepts is by using detailed, JSON-formatted textual prompts. This structured prompting method ensures precise control over the generated visual elements for your game assets.

Why does my generated image not match my text description exactly?

If a generated image does not match your text description, it may be due to unstructured prompting. Using detailed, JSON-formatted prompts for characters, scenes, and products provides the precise control needed to align the output with your imagination.