image-generation

Generate images from text prompts using the z-ai-web-dev-sdk in backend applications.

Updated Dec 26, 2025
One-click install
npx skills add https://github.com/yutaoshao/agent-skills --skill image-generation-yutaoshao
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: image-generation
Source: https://github.com/yutaoshao/agent-skills/tree/main/glm-skills/image-generation
Command: npx skills add https://github.com/yutaoshao/agent-skills --skill image-generation-yutaoshao

SYSTEM DOCUMENTATION & REQUIREMENTS

💡 This Skill requires z-ai-web-dev-sdk, and includes scripts (resource) components.

What problem does it solve?

Automates image creation by turning text prompts into high-quality visuals, enabling developers and product teams to create visuals quickly without manual design work.

Core Features & Use Cases

  • Backend-first image generation: run image creation in server-side code using the z-ai-web-dev-sdk.
  • Flexible outputs: supports multiple sizes and returns base64-encoded images for easy embedding or storage.
  • Integrated workflows: includes CLI tooling and API examples to accelerate integration across applications, marketing assets, and product design.

Quick Start

Run the provided example to generate an image from a prompt and save the result to disk.

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 prompts in a Node.js backend application?

To generate images from text prompts in a backend application, use the z-ai-web-dev-sdk to process prompts server-side. It returns base64-encoded images for easy embedding, includes CLI tooling, and provides API examples for integration.

Can I generate multiple AI images at once for scalable visual content?

Yes, you can generate multiple AI images at once because this backend approach supports batch generation. It handles scalable visual content creation across projects, supporting multiple output sizes with built-in caching and error handling for reliable results.

What is the best way to integrate AI image generation into my existing server-side workflows?

The best way to integrate AI image generation into server-side workflows is using the z-ai-web-dev-sdk with its API examples. It supports backend-focused usage, allowing you to run image creation directly in server code and save results to disk.

Does the z-ai-web-dev-sdk support different image output sizes for marketing assets?

Yes, the z-ai-web-dev-sdk supports flexible outputs with multiple image sizes. This allows developers and product teams to automate image creation for various marketing assets and product designs without manual design work or adjustment.

How do I handle errors and caching when generating images from prompts?

You handle errors and caching during image generation through the backend-focused design of the z-ai-web-dev-sdk. It provides built-in error handling and caching mechanisms to ensure reliable results when turning text prompts into high-quality visual content.