{
  "model": "gpt-image-1",
  "prompt": "一只可爱的宇航员猫咪在太空中漂浮，背景是星星和行星",
  "n": 1,                  // 生成图像数量
  "size": "1024x1024",     // 图像尺寸
  "quality": "high",       // 质量等级：low/medium/high
  "style": "natural",      // 风格选项：natural/vivid
  "response_format": "url" // 返回格式：url/b64_json
}

import requests
import json
import base64

# 使用laozhang.ai中转API（比官方价格低）
api_key = "YOUR_API_KEY"
url = "https://api.laozhang.ai/v1/images/generations"

headers = {
    "Content-Type": "application/json",
    "Authorization": f"Bearer {api_key}"
}

payload = {
    "model": "gpt-image-1",
    "prompt": "未来风格的智能城市，有飞行汽车和悬浮建筑",
    "n": 1,
    "size": "1024x1024",
    "quality": "high"
}

response = requests.post(url, headers=headers, json=payload)
print(json.dumps(response.json(), indent=4))

# 获取图片URL
image_url = response.json()["data"][0]["url"]
print(f"生成的图片URL: {image_url}")

import requests
import json
import base64
import os

# 使用laozhang.ai中转API
api_key = "YOUR_API_KEY"
url = "https://api.laozhang.ai/v1/images/edit"

headers = {
    "Authorization": f"Bearer {api_key}"
}

# 读取源图像和遮罩
with open("source_image.png", "rb") as image_file:
    source_image = base64.b64encode(image_file.read()).decode('utf-8')
    
with open("mask.png", "rb") as mask_file:
    mask = base64.b64encode(mask_file.read()).decode('utf-8')

payload = {
    "model": "gpt-image-1",
    "image": source_image,
    "mask": mask,
    "prompt": "添加一只可爱的猫咪在沙发上",
    "n": 1,
    "size": "1024x1024",
    "quality": "high"
}

response = requests.post(url, headers=headers, json=payload)
print(json.dumps(response.json(), indent=4))

const axios = require('axios');
const fs = require('fs');
const FormData = require('form-data');

async function generateImage() {
    const apiKey = 'YOUR_API_KEY';
    
    // 使用laozhang.ai中转API
    const url = 'https://api.laozhang.ai/v1/images/generations';
    
    const data = {
        model: 'gpt-image-1',
        prompt: '未来主义风格的智能家居，充满科技感',
        n: 1,
        size: '1024x1024',
        quality: 'high'
    };
    
    const response = await axios.post(url, data, {
        headers: {
            'Content-Type': 'application/json',
            'Authorization': `Bearer ${apiKey}`
        }
    });
    
    console.log(response.data);
}

generateImage().catch(console.error);

async function generateImageWithRetry(prompt, retries = 3) {
    let attempt = 0;
    
    while (attempt < retries) {
        try {
            const response = await fetch('https://api.laozhang.ai/v1/images/generations', {
                method: 'POST',
                headers: {
                    'Content-Type': 'application/json',
                    'Authorization': `Bearer ${apiKey}`
                },
                body: JSON.stringify({
                    model: 'gpt-image-1',
                    prompt: prompt,
                    n: 1,
                    size: '1024x1024',
                    quality: 'medium'
                })
            });
            
            if (!response.ok) {
                const error = await response.json();
                throw new Error(`API错误: ${error.error.message}`);
            }
            
            return await response.json();
        } catch (error) {
            attempt++;
            console.log(`尝试 ${attempt}/${retries} 失败: ${error.message}`);
            
            // 指数退避策略
            if (attempt < retries) {
                const delay = Math.pow(2, attempt) * 1000;
                await new Promise(resolve => setTimeout(resolve, delay));
            }
        }
    }
    
    throw new Error('所有重试尝试均失败');
}