image-generation

Generate base64-encoded images from text prompts using the z-ai-web-dev-sdk.

Updated Mar 29, 2026
One-click install
npx skills add https://github.com/Mohabsmar/VoiceDev-2.0 --skill image-generation-mohabsmar
Or copy as Structured Prompt for Agent
Please help me install this Agent Skill.
Skill: image-generation
Source: https://github.com/Mohabsmar/VoiceDev-2.0/tree/main/skills/image-generation
Command: npx skills add https://github.com/Mohabsmar/VoiceDev-2.0 --skill image-generation-mohabsmar

SYSTEM DOCUMENTATION & REQUIREMENTS

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

What problem does it solve?

Generating AI-powered images from natural language prompts using the z-ai-web-dev-sdk, enabling teams to quickly create visual assets without manual drawing.

Core Features & Use Cases

  • Text-to-image generation: Create images from descriptive prompts with multiple size options.
  • CLI support: Use the built-in CLI to generate images quickly from the command line.
  • Backend-first workflow: Use in server-side code only, with base64 output and easy integration into apps.
  • Use cases: Rapid design prototyping, marketing visuals, product mockups, and content illustrations.

Quick Start

Describe the image you want and run the example script to generate and save the image using the z-ai-web-dev-sdk.

Frequently Asked Questions about image-generation

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

FAQPage Schema
How do I generate AI images from text prompts in backend code?

To generate AI images from text prompts in backend code, you can use the z-ai-web-dev-sdk to process descriptions and output base64-encoded images. This allows server-side applications to programmatically create visual assets without manual drawing.

Can I use a CLI tool to generate images from text prompts quickly?

Yes, you can use a CLI tool to generate images from text prompts directly from the command line. This provides a quick generation method for rapid design prototyping and content creation without writing full application scripts.

Does text-to-image generation support multiple output sizes?

Yes, text-to-image generation supports multiple output sizes. You can specify dimensions when processing descriptive prompts using the z-ai-web-dev-sdk to ensure the base64-encoded results match your design automation requirements.

What is the best way to automate marketing visual creation from natural language?

The best way to automate marketing visual creation from natural language is using backend-first programmatic generation. By passing descriptive text prompts to the z-ai-web-dev-sdk, you receive base64-encoded images suitable for easy integration into apps.

Why are generated images returned as base64-encoded data?

Generated images are returned as base64-encoded data to facilitate easy integration into apps and backend-first workflows. This format allows server-side code to directly handle and save the visual assets without requiring external file storage.

Do I need a specific SDK to build a design automation prototype with AI images?

Yes, you need the z-ai-web-dev-sdk to build a design automation prototype with AI images. It provides the backend text-to-image processing capabilities required to generate visual assets from natural language descriptions.