Flux Kontext API 快速开始

class FluxKontextAPI {
  constructor(apiKey) {
    this.apiKey = apiKey;
    this.baseUrl = 'https://api.kie.ai/api/v1/flux/kontext';
  }
  
  async generateImage(prompt, options = {}) {
    const response = await fetch(`${this.baseUrl}/generate`, {
      method: 'POST',
      headers: {
        'Authorization': `Bearer ${this.apiKey}`,
        'Content-Type': 'application/json'
      },
      body: JSON.stringify({
        prompt,
        aspectRatio: options.aspectRatio || '16:9',
        model: options.model || 'flux-kontext-pro',
        enableTranslation: options.enableTranslation !== false,
        outputFormat: options.outputFormat || 'jpeg',
        ...options
      })
    });
    
    const result = await response.json();
    if (result.code !== 200) {
      throw new Error(`生成失败: ${result.msg}`);
    }
    
    return result.data.taskId;
  }
  
  async editImage(prompt, inputImage, options = {}) {
    return this.generateImage(prompt, {
      ...options,
      inputImage
    });
  }
  
  async waitForCompletion(taskId, maxWaitTime = 300000) { // 最长等待5分钟
    const startTime = Date.now();
    
    while (Date.now() - startTime < maxWaitTime) {
      const status = await this.getTaskStatus(taskId);
      
      if (status.successFlag === 1) {
        return status.response;
      } else if (status.successFlag === 2 || status.successFlag === 3) {
        throw new Error(`生成失败: ${status.errorMessage || '未知错误'}`);
      }
      
      // 等待3秒后再次检查
      await new Promise(resolve => setTimeout(resolve, 3000));
    }
    
    throw new Error('生成超时');
  }
  
  async getTaskStatus(taskId) {
    const response = await fetch(`${this.baseUrl}/record-info?taskId=${taskId}`, {
      headers: {
        'Authorization': `Bearer ${this.apiKey}`
      }
    });
    
    const result = await response.json();
    return result.data;
  }
}

// 使用示例
async function main() {
  const api = new FluxKontextAPI('YOUR_API_KEY');
  
  try {
    // 文本转图像生成
    console.log('开始图像生成...');
    const taskId = await api.generateImage(
      '夜晚的未来主义城市景观，有霓虹灯和飞行汽车',
      { 
        aspectRatio: '16:9',
        model: 'flux-kontext-max',
        promptUpsampling: true
      }
    );
    
    // 等待完成
    console.log(`任务ID: ${taskId}。等待完成...`);
    const result = await api.waitForCompletion(taskId);
    
    console.log('图像生成成功！');
    console.log('结果图像URL:', result.resultImageUrl);
    console.log('原始图像URL（10分钟有效）:', result.originImageUrl);
    
    // 图像编辑示例
    console.log('\n开始图像编辑...');
    const editTaskId = await api.editImage(
      '在天空中添加彩虹',
      result.resultImageUrl,
      { aspectRatio: '16:9' }
    );
    
    const editResult = await api.waitForCompletion(editTaskId);
    console.log('图像编辑成功！');
    console.log('编辑后图像URL:', editResult.resultImageUrl);
    
  } catch (error) {
    console.error('错误:', error.message);
  }
}

main();