feat: Add complete Agentic Compaction & Pipeline System
- Context Compaction System with token counting and summarization - Deterministic State Machine for flow control (no LLM decisions) - Parallel Execution Engine (up to 12 concurrent sessions) - Event-Driven Coordination via Event Bus - Agent Workspace Isolation (tools, memory, identity, files) - YAML Workflow Integration (OpenClaw/Lobster compatible) - Claude Code integration layer - Complete demo UI with real-time visualization - Comprehensive documentation and README Components: - agent-system/: Context management, token counting, subagent spawning - pipeline-system/: State machine, parallel executor, event bus, workflows - skills/: AI capabilities (LLM, ASR, TTS, VLM, image generation, etc.) - src/app/: Next.js demo application Total: ~100KB of production-ready TypeScript code
This commit is contained in:
Z User
21
skills/image-generation/LICENSE.txt
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21
skills/image-generation/LICENSE.txt
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|
||||
MIT License
|
||||
|
||||
Copyright (c) 2025 z-ai-web-dev-sdk Skills
|
||||
|
||||
Permission is hereby granted, free of charge, to any person obtaining a copy
|
||||
of this software and associated documentation files (the "Software"), to deal
|
||||
in the Software without restriction, including without limitation the rights
|
||||
to use, copy, modify, merge, publish, distribute, sublicense, and/or sell
|
||||
copies of the Software, and to permit persons to whom the Software is
|
||||
furnished to do so, subject to the following conditions:
|
||||
|
||||
The above copyright notice and this permission notice shall be included in all
|
||||
copies or substantial portions of the Software.
|
||||
|
||||
THE SOFTWARE IS PROVIDED "AS IS", WITHOUT WARRANTY OF ANY KIND, EXPRESS OR
|
||||
IMPLIED, INCLUDING BUT NOT LIMITED TO THE WARRANTIES OF MERCHANTABILITY,
|
||||
FITNESS FOR A PARTICULAR PURPOSE AND NONINFRINGEMENT. IN NO EVENT SHALL THE
|
||||
AUTHORS OR COPYRIGHT HOLDERS BE LIABLE FOR ANY CLAIM, DAMAGES OR OTHER
|
||||
LIABILITY, WHETHER IN AN ACTION OF CONTRACT, TORT OR OTHERWISE, ARISING FROM,
|
||||
OUT OF OR IN CONNECTION WITH THE SOFTWARE OR THE USE OR OTHER DEALINGS IN THE
|
||||
SOFTWARE.
|
||||
583
skills/image-generation/SKILL.md
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583
skills/image-generation/SKILL.md
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---
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name: image-generation
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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.
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license: MIT
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---
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# Image Generation Skill
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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.
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## Skills Path
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**Skill Location**: `{project_path}/skills/image-generation`
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this skill is located at above path in your project.
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**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.
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## Overview
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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.
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**IMPORTANT**: z-ai-web-dev-sdk MUST be used in backend code only. Never use it in client-side code.
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|
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## Prerequisites
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The z-ai-web-dev-sdk package is already installed. Import it as shown in the examples below.
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|
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## Basic Image Generation
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### Simple Image Creation
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|
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```javascript
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import ZAI from 'z-ai-web-dev-sdk';
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import fs from 'fs';
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|
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async function generateImage(prompt, outputPath) {
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const zai = await ZAI.create();
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|
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const response = await zai.images.generations.create({
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prompt: prompt,
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size: '1024x1024'
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});
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|
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const imageBase64 = response.data[0].base64;
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|
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// Save image
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const buffer = Buffer.from(imageBase64, 'base64');
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fs.writeFileSync(outputPath, buffer);
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console.log(`Image saved to ${outputPath}`);
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return outputPath;
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}
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|
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// Usage
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await generateImage(
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'A cute cat playing in the garden',
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'./cat_image.png'
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);
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```
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|
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### Multiple Image Sizes
|
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|
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```javascript
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import ZAI from 'z-ai-web-dev-sdk';
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import fs from 'fs';
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|
||||
// Supported sizes
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||||
const SUPPORTED_SIZES = [
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'1024x1024', // Square
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'768x1344', // Portrait
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'864x1152', // Portrait
|
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'1344x768', // Landscape
|
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'1152x864', // Landscape
|
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'1440x720', // Wide landscape
|
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'720x1440' // Tall portrait
|
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];
|
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|
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async function generateImageWithSize(prompt, size, outputPath) {
|
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if (!SUPPORTED_SIZES.includes(size)) {
|
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throw new Error(`Unsupported size: ${size}. Use one of: ${SUPPORTED_SIZES.join(', ')}`);
|
||||
}
|
||||
|
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const zai = await ZAI.create();
|
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|
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const response = await zai.images.generations.create({
|
||||
prompt: prompt,
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size: size
|
||||
});
|
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|
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const imageBase64 = response.data[0].base64;
|
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const buffer = Buffer.from(imageBase64, 'base64');
|
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fs.writeFileSync(outputPath, buffer);
|
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|
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return {
|
||||
path: outputPath,
|
||||
size: size,
|
||||
fileSize: buffer.length
|
||||
};
|
||||
}
|
||||
|
||||
// Usage - Different sizes
|
||||
await generateImageWithSize(
|
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'A beautiful landscape',
|
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'1344x768',
|
||||
'./landscape.png'
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||||
);
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||||
|
||||
await generateImageWithSize(
|
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'A portrait of a person',
|
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'768x1344',
|
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'./portrait.png'
|
||||
);
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```
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|
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## CLI Tool Usage
|
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|
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The z-ai CLI tool provides a convenient way to generate images directly from the command line.
|
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|
||||
### Basic CLI Usage
|
||||
|
||||
```bash
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# Generate image with full options
|
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z-ai image --prompt "A beautiful landscape" --output "./image.png"
|
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|
||||
# Short form
|
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z-ai image -p "A cute cat" -o "./cat.png"
|
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|
||||
# Specify size
|
||||
z-ai image -p "A sunset" -o "./sunset.png" -s 1344x768
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|
||||
# Portrait orientation
|
||||
z-ai image -p "A portrait" -o "./portrait.png" -s 768x1344
|
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```
|
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|
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### CLI Use Cases
|
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|
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```bash
|
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# Website hero image
|
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z-ai image -p "Modern tech office with diverse team collaborating" -o "./hero.png" -s 1440x720
|
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|
||||
# 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
|
||||
28
skills/image-generation/scripts/image-generation.ts
Executable file
28
skills/image-generation/scripts/image-generation.ts
Executable file
@@ -0,0 +1,28 @@
|
||||
import ZAI from 'z-ai-web-dev-sdk';
|
||||
import fs from 'fs';
|
||||
|
||||
async function main(prompt: string, size: '1024x1024' | '768x1344' | '864x1152' | '1344x768' | '1152x864' | '1440x720' | '720x1440', outFile: string) {
|
||||
try {
|
||||
const zai = await ZAI.create();
|
||||
|
||||
const response = await zai.images.generations.create({
|
||||
prompt,
|
||||
size
|
||||
});
|
||||
|
||||
const base64 = response?.data?.[0]?.base64;
|
||||
if (!base64) {
|
||||
console.error('No image data returned by the API');
|
||||
console.log('Full response:', JSON.stringify(response, null, 2));
|
||||
return;
|
||||
}
|
||||
|
||||
const buffer = Buffer.from(base64, 'base64');
|
||||
fs.writeFileSync(outFile, buffer);
|
||||
console.log(`Image saved to ${outFile}`);
|
||||
} catch (err: any) {
|
||||
console.error('Image generation failed:', err?.message || err);
|
||||
}
|
||||
}
|
||||
|
||||
main('A cute kitten', '1024x1024', './output.png');
|
||||
Reference in New Issue
Block a user