image-generation

name	image-generation
description	Implement AI image generation capabilities using the z-ai-web-dev-sdk. Use this skill when the user needs to create images from text descriptions, generate visual content, create artwork, design assets, or build applications with AI-powered image creation. Supports multiple image sizes and returns base64 encoded images. Also includes CLI tool for quick image generation.
license	MIT

Image Generation Skill

This skill guides the implementation of image generation functionality using the z-ai-web-dev-sdk package and CLI tool, enabling creation of high-quality images from text descriptions.

Skills Path

Skill Location: {project_path}/skills/image-generation

this skill is located at above path in your project.

Reference Scripts: Example test scripts are available in the {Skill Location}/scripts/ directory for quick testing and reference. See {Skill Location}/scripts/image-generation.ts for a working example.

Overview

Image Generation allows you to build applications that create visual content from text prompts using AI models, enabling creative workflows, design automation, and visual content production.

IMPORTANT: z-ai-web-dev-sdk MUST be used in backend code only. Never use it in client-side code.

Prerequisites

The z-ai-web-dev-sdk package is already installed. Import it as shown in the examples below.

Basic Image Generation

Simple Image Creation

import ZAI from 'z-ai-web-dev-sdk';
import fs from 'fs';

async function generateImage(prompt, outputPath) {
  const zai = await ZAI.create();

  const response = await zai.images.generations.create({
    prompt: prompt,
    size: '1024x1024'
  });

  const imageBase64 = response.data[0].base64;
  
  // Save image
  const buffer = Buffer.from(imageBase64, 'base64');
  fs.writeFileSync(outputPath, buffer);
  
  console.log(`Image saved to ${outputPath}`);
  return outputPath;
}

// Usage
await generateImage(
  'A cute cat playing in the garden',
  './cat_image.png'
);

Multiple Image Sizes

import ZAI from 'z-ai-web-dev-sdk';
import fs from 'fs';

// Supported sizes
const SUPPORTED_SIZES = [
  '1024x1024',  // Square
  '768x1344',   // Portrait
  '864x1152',   // Portrait
  '1344x768',   // Landscape
  '1152x864',   // Landscape
  '1440x720',   // Wide landscape
  '720x1440'    // Tall portrait
];

async function generateImageWithSize(prompt, size, outputPath) {
  if (!SUPPORTED_SIZES.includes(size)) {
    throw new Error(`Unsupported size: ${size}. Use one of: ${SUPPORTED_SIZES.join(', ')}`);
  }

  const zai = await ZAI.create();

  const response = await zai.images.generations.create({
    prompt: prompt,
    size: size
  });

  const imageBase64 = response.data[].;
   buffer = .(imageBase64, );
  fs.(outputPath, buffer);

   {
    : outputPath,
    : size,
    : buffer.
  };
}


 (
  ,
  ,
  
);

 (
  ,
  ,
  
);

CLI Tool Usage

The z-ai CLI tool provides a convenient way to generate images directly from the command line.

Basic CLI Usage

# Generate image with full options
z-ai image --prompt "A beautiful landscape" --output "./image.png"

# Short form
z-ai image -p "A cute cat" -o "./cat.png"

# Specify size
z-ai image -p "A sunset" -o "./sunset.png" -s 1344x768

# Portrait orientation
z-ai image -p "A portrait" -o "./portrait.png" -s 768x1344

CLI Use Cases

# Website hero image
z-ai image -p "Modern tech office with diverse team collaborating" -o "./hero.png" -s 1440x720

# Product image
z-ai image -p "Sleek smartphone on minimalist desk, professional product photography" -o "./product.png" -s 1024x1024

# Blog post illustration
z-ai image -p "Abstract visualization of data flowing through networks" -o "./blog_header.png" -s 1344x768

# Social media content
z-ai image -p "Vibrant illustration of community connection" -o "./social.png" -s 1024x1024

# Website favicon/logo
z-ai image -p "Simple geometric logo with blue gradient, minimal design" -o "./logo.png" -s 1024x1024

# Background pattern
z-ai image -p "Subtle geometric pattern, pastel colors, website background" -o "./bg_pattern.png" -s 1440x720

Advanced Use Cases

Batch Image Generation

import ZAI from 'z-ai-web-dev-sdk';
import fs from 'fs';
import path from 'path';

async function generateImageBatch(prompts, outputDir, size = '1024x1024') {
  const zai = await ZAI.create();

  // Ensure output directory exists
  if (!fs.existsSync(outputDir)) {
    fs.mkdirSync(outputDir, { recursive: true });
  }

  const results = [];

  for (let i = 0; i < prompts.length; i++) {
    try {
      const prompt = prompts[i];
      const filename = `image_${i + 1}.png`;
      const outputPath = path.join(outputDir, filename);

      const response = await zai.images.generations.create({
        prompt: prompt,
        size: size
      });

      const imageBase64 = response.data[0].base64;
      const buffer = .(imageBase64, );
      fs.(outputPath, buffer);

      results.({
        : ,
        : prompt,
        : outputPath,
        : buffer.
      });

      .();
    }  (error) {
      results.({
        : ,
        : prompts[i],
        : error.
      });

      .();
    }
  }

   results;
}


 prompts = [
  ,
  ,
  
];

 results =  (prompts, );
.();

Image Generation Service

import ZAI from 'z-ai-web-dev-sdk';
import fs from 'fs';
import path from 'path';
import crypto from 'crypto';

class ImageGenerationService {
  constructor(outputDir = './generated-images') {
    this.outputDir = outputDir;
    this.zai = null;
    this.cache = new Map();
  }

  async initialize() {
    this.zai = await ZAI.create();
    
    if (!fs.existsSync(this.outputDir)) {
      fs.mkdirSync(this.outputDir, { recursive: true });
    }
  }

  generateCacheKey(prompt, size) {
    return crypto
      .createHash('md5')
      .update(`${prompt}-`)
      .();
  }

   () {
     {
      size = ,
      useCache = ,
      filename = 
    } = options;

    
     cacheKey = .(prompt, size);
    
     (useCache && ..(cacheKey)) {
       cachedPath = ..(cacheKey);
       (fs.(cachedPath)) {
         {
          : cachedPath,
          : ,
          : prompt,
          : size
        };
      }
    }

    
     response =  ....({
      : prompt,
      : size
    });

     imageBase64 = response.[].;
     buffer = .(imageBase64, );

    
     outputFilename = filename || ;
     outputPath = path.(., outputFilename);

    fs.(outputPath, buffer);

    
     (useCache) {
      ..(cacheKey, outputPath);
    }

     {
      : outputPath,
      : ,
      : prompt,
      : size,
      : buffer.
    };
  }

  () {
    ..();
  }

  () {
     ..;
  }
}


 service =  ();
 service.();

 result =  service.(
  ,
  { :  }
);

.(, result.);

Website Asset Generator

# Using CLI for quick website asset generation
z-ai image -p "Modern tech hero banner, blue gradient" -o "./assets/hero.png" -s 1440x720
z-ai image -p "Team collaboration illustration" -o "./assets/team.png" -s 1344x768
z-ai image -p "Simple geometric logo" -o "./assets/logo.png" -s 1024x1024

Best Practices

1. Effective Prompt Engineering

function buildEffectivePrompt(subject, style, details = []) {
  const components = [
    subject,
    style,
    ...details,
    'high quality',
    'detailed'
  ];

  return components.filter(Boolean).join(', ');
}

// Usage
const prompt = buildEffectivePrompt(
  'mountain landscape',
  'oil painting style',
  ['sunset lighting', 'dramatic clouds', 'reflection in lake']
);

// Result: "mountain landscape, oil painting style, sunset lighting, dramatic clouds, reflection in lake, high quality, detailed"

2. Size Selection Helper

function selectOptimalSize(purpose) {
  const sizeMap = {
    'hero-banner': '1440x720',
    'blog-header': '1344x768',
    'social-square': '1024x1024',
    'portrait': '768x1344',
    'product': '1024x1024',
    'landscape': '1344x768',
    'mobile-banner': '720x1440',
    'thumbnail': '1024x1024'
  };

  return sizeMap[purpose] || '1024x1024';
}

// Usage
const size = selectOptimalSize('hero-banner');
await generateImage('website hero image', size, './hero.png');

3. Error Handling

import ZAI from 'z-ai-web-dev-sdk';
import fs from 'fs';

async function safeGenerateImage(prompt, size, outputPath, retries = 3) {
  let lastError;

  for (let attempt = 1; attempt <= retries; attempt++) {
    try {
      const zai = await ZAI.create();

      const response = await zai.images.generations.create({
        prompt: prompt,
        size: size
      });

      if (!response.data || !response.data[0] || !response.data[0].base64) {
        throw new Error('Invalid response from image generation API');
      }

      const imageBase64 = response.data[0].base64;
      const buffer = Buffer.from(imageBase64, 'base64');
      fs.writeFileSync(outputPath, buffer);

      return {
        success: ,
        : outputPath,
        : attempt
      };
    }  (error) {
      lastError = error;
      .(, error.);

       (attempt < retries) {
        
          ( (resolve,  * attempt));
      }
    }
  }

   {
    : ,
    : lastError.,
    : retries
  };
}

Common Use Cases

1. Website Design: Generate hero images, backgrounds, and visual assets
2. Marketing Materials: Create social media graphics and promotional images
3. Product Visualization: Generate product mockups and variations
4. Content Creation: Produce blog post illustrations and thumbnails
5. Brand Assets: Create logos, icons, and brand imagery
6. UI/UX Design: Generate interface elements and illustrations
7. Game Development: Create concept art and game assets
8. E-commerce: Generate product images and lifestyle shots

Integration Examples

Express.js API Endpoint

import express from 'express';
import ZAI from 'z-ai-web-dev-sdk';
import fs from 'fs';
import path from 'path';

const app = express();
app.use(express.json());
app.use('/images', express.static('generated-images'));

let zaiInstance;
const outputDir = './generated-images';

async function initZAI() {
  zaiInstance = await ZAI.create();
  if (!fs.existsSync(outputDir)) {
    fs.mkdirSync(outputDir, { recursive: true });
  }
}

app.post('/api/generate-image', async (req, res) => {
  try {
    const { prompt, size = '1024x1024' } = req.body;

    if (!prompt) {
      return res.status(400).json({ error: 'Prompt is required' });
    }

     response =  zaiInstance...({
      : prompt,
      : size
    });

     imageBase64 = response.[].;
     buffer = .(imageBase64, );
    
     filename = ;
     filepath = path.(outputDir, filename);
    fs.(filepath, buffer);

    res.({
      : ,
      : ,
      : prompt,
      : size
    });
  }  (error) {
    res.().({
      : ,
      : error.
    });
  }
});

().( {
  app.(,  {
    .();
  });
});

CLI Integration in Scripts

Shell Script Example

#!/bin/bash

# Generate website assets using CLI
echo "Generating website assets..."

z-ai image -p "Modern tech hero banner, blue gradient" -o "./assets/hero.png" -s 1440x720
z-ai image -p "Team collaboration illustration" -o "./assets/team.png" -s 1344x768
z-ai image -p "Simple geometric logo" -o "./assets/logo.png" -s 1024x1024

echo "Assets generated successfully!"

Troubleshooting

Issue: "SDK must be used in backend"

• Solution: Ensure z-ai-web-dev-sdk is only used in server-side code

Issue: Invalid size parameter

• Solution: Use only supported sizes: 1024x1024, 768x1344, 864x1152, 1344x768, 1152x864, 1440x720, 720x1440

Issue: Generated image doesn't match prompt

• Solution: Make prompts more specific and descriptive. Include style, details, and quality terms

Issue: CLI command not found

• Solution: Ensure z-ai CLI is properly installed and in PATH

Issue: Image file is corrupted

• Solution: Verify base64 decoding and file writing are correct

Prompt Engineering Tips

Good Prompts

• ✓ "Professional product photography of wireless headphones, white background, studio lighting, high quality"
• ✓ "Mountain landscape at golden hour, oil painting style, dramatic clouds, detailed"
• ✓ "Modern minimalist logo for tech company, blue and white, geometric shapes"

Poor Prompts

• ✗ "headphones"
• ✗ "picture of mountains"
• ✗ "logo"

Prompt Components

1. Subject: What you want to see
2. Style: Art style, photography style, etc.
3. Details: Specific elements, colors, mood
4. Quality: "high quality", "detailed", "professional"

Supported Image Sizes

• 1024x1024 - Square
• 768x1344 - Portrait
• 864x1152 - Portrait
• 1344x768 - Landscape
• 1152x864 - Landscape
• 1440x720 - Wide landscape
• 720x1440 - Tall portrait

Remember

• Always use z-ai-web-dev-sdk in backend code only
• The SDK is already installed - import as shown
• CLI tool is available for quick image generation
• Supported sizes are specific - use the provided list
• Base64 images need to be decoded before saving
• Consider caching for repeated prompts
• Implement retry logic for production applications
• Use descriptive prompts for better results