Agent skill

image-generation

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.

View SKILL.md on GitHub Repository
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Install this agent skill to your Project

npx add-skill https://github.com/AnswerZhao/agent-skills/tree/main/glm-skills/image-generation

SKILL.md

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

javascript
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

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

  return {
    path: outputPath,
    size: size,
    fileSize: buffer.length
  };
}

// Usage - Different sizes
await generateImageWithSize(
  'A beautiful landscape',
  '1344x768',
  './landscape.png'
);

await generateImageWithSize(
  'A portrait of a person',
  '768x1344',
  './portrait.png'
);

CLI Tool Usage

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

Basic CLI Usage

bash
# 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

bash
# 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

javascript
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 = Buffer.from(imageBase64, 'base64');
      fs.writeFileSync(outputPath, buffer);

      results.push({
        success: true,
        prompt: prompt,
        path: outputPath,
        size: buffer.length
      });

      console.log(`✓ Generated: ${filename}`);
    } catch (error) {
      results.push({
        success: false,
        prompt: prompts[i],
        error: error.message
      });

      console.error(`✗ Failed: ${prompts[i]} - ${error.message}`);
    }
  }

  return results;
}

// Usage
const prompts = [
  'A serene mountain landscape at sunset',
  'A futuristic city with flying cars',
  'An underwater coral reef teeming with life'
];

const results = await generateImageBatch(prompts, './generated-images');
console.log(`Generated ${results.filter(r => r.success).length} images`);

Image Generation Service

javascript
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}`)
      .digest('hex');
  }

  async generate(prompt, options = {}) {
    const {
      size = '1024x1024',
      useCache = true,
      filename = null
    } = options;

    // Check cache
    const cacheKey = this.generateCacheKey(prompt, size);
    
    if (useCache && this.cache.has(cacheKey)) {
      const cachedPath = this.cache.get(cacheKey);
      if (fs.existsSync(cachedPath)) {
        return {
          path: cachedPath,
          cached: true,
          prompt: prompt,
          size: size
        };
      }
    }

    // Generate new image
    const response = await this.zai.images.generations.create({
      prompt: prompt,
      size: size
    });

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

    // Determine output path
    const outputFilename = filename || `${cacheKey}.png`;
    const outputPath = path.join(this.outputDir, outputFilename);

    fs.writeFileSync(outputPath, buffer);

    // Cache result
    if (useCache) {
      this.cache.set(cacheKey, outputPath);
    }

    return {
      path: outputPath,
      cached: false,
      prompt: prompt,
      size: size,
      fileSize: buffer.length
    };
  }

  clearCache() {
    this.cache.clear();
  }

  getCacheSize() {
    return this.cache.size;
  }
}

// Usage
const service = new ImageGenerationService();
await service.initialize();

const result = await service.generate(
  'A modern office space',
  { size: '1440x720' }
);

console.log('Generated:', result.path);

Website Asset Generator

bash
# 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

javascript
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

javascript
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

javascript
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: true,
        path: outputPath,
        attempts: attempt
      };
    } catch (error) {
      lastError = error;
      console.error(`Attempt ${attempt} failed:`, error.message);

      if (attempt < retries) {
        // Wait before retry (exponential backoff)
        await new Promise(resolve => setTimeout(resolve, 1000 * attempt));
      }
    }
  }

  return {
    success: false,
    error: lastError.message,
    attempts: 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

javascript
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' });
    }

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

    const imageBase64 = response.data[0].base64;
    const buffer = Buffer.from(imageBase64, 'base64');
    
    const filename = `img_${Date.now()}.png`;
    const filepath = path.join(outputDir, filename);
    fs.writeFileSync(filepath, buffer);

    res.json({
      success: true,
      imageUrl: `/images/${filename}`,
      prompt: prompt,
      size: size
    });
  } catch (error) {
    res.status(500).json({
      success: false,
      error: error.message
    });
  }
});

initZAI().then(() => {
  app.listen(3000, () => {
    console.log('Image generation API running on port 3000');
  });
});

CLI Integration in Scripts

Shell Script Example

bash
#!/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

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