Midjourney API 快速开始

{
  "taskType": "mj_img2img",
  "prompt": "将这个变成赛博朋克风格",
  "fileUrl": "https://example.com/source-image.jpg",
  "aspectRatio": "1:1",
  "version": "7"
}

{
  "taskType": "mj_video",
  "prompt": "添加轻柔的动作和大气效果",
  "fileUrl": "https://example.com/source-image.jpg",
  "version": "7"
}

import requests
import time

class MidjourneyAPI:
    def __init__(self, api_key):
        self.api_key = api_key
        self.base_url = 'https://api.midapi.ai/api/v1/mj'
        self.headers = {
            'Authorization': f'Bearer {api_key}',
            'Content-Type': 'application/json'
        }
    
    def generate_image(self, **options):
        response = requests.post(f'{self.base_url}/generate', 
                               headers=self.headers, json=options)
        result = response.json()
        
        if not response.ok or result.get('code') != 200:
            raise Exception(f"生成失败: {result.get('msg', '未知错误')}")
        
        return result['data']['taskId']
    
    def wait_for_completion(self, task_id, max_wait_time=600):
        start_time = time.time()
        
        while time.time() - start_time < max_wait_time:
            status = self.get_task_status(task_id)
            success_flag = status['successFlag']
            
            if success_flag == 0:
                print("任务生成中，继续等待...")
            elif success_flag == 1:
                print("生成成功完成！")
                return status['resultInfoJson']
            elif success_flag == 2:
                task_error = status.get('errorMessage', '任务生成失败')
                print(f"任务生成失败: {task_error}")
                if status.get('errorCode'):
                    print(f"错误代码: {status['errorCode']}")
                raise Exception(task_error)
            elif success_flag == 3:
                generate_error = status.get('errorMessage', '任务创建成功但生成失败')
                print(f"生成失败: {generate_error}")
                if status.get('errorCode'):
                    print(f"错误代码: {status['errorCode']}")
                raise Exception(generate_error)
            else:
                print(f"未知状态: {success_flag}")
                if status.get('errorMessage'):
                    print(f"错误信息: {status['errorMessage']}")
            
            time.sleep(30)  # 等待30秒
        
        raise Exception('生成超时')
    
    def get_task_status(self, task_id):
        response = requests.get(f'{self.base_url}/record-info?taskId={task_id}',
                              headers={'Authorization': f'Bearer {self.api_key}'})
        result = response.json()
        
        if not response.ok or result.get('code') != 200:
            raise Exception(f"查询状态失败: {result.get('msg', '未知错误')}")
        
        return result['data']
    
    def upscale_image(self, task_id, index):
        data = {
            'taskId': task_id,
            'index': index
        }
        
        response = requests.post(f'{self.base_url}/upscale', 
                               headers=self.headers, json=data)
        result = response.json()
        
        if not response.ok or result.get('code') != 200:
            raise Exception(f"放大失败: {result.get('msg', '未知错误')}")
        
        return result['data']['taskId']

# 使用示例
def main():
    api = MidjourneyAPI('YOUR_API_KEY')
    
    try:
        # 文本转图像生成
        print('开始图像生成...')
        task_id = api.generate_image(
            taskType='mj_txt2img',
            prompt='一座雄伟的古老城堡，矗立在云雾缭绕的山峰之上，夕阳西下，金光洒在城堡的石墙上',
            speed='fast',
            aspectRatio='16:9',
            version='7',
            stylization=500
        )
        
        # 等待完成
        print(f'任务ID: {task_id}。等待完成...')
        result = api.wait_for_completion(task_id)
        
        print('图像生成成功！')
        print(f'生成的图像数量: {len(result["resultUrls"])}')
        for i, url_info in enumerate(result['resultUrls']):
            print(f'图像 {i + 1}: {url_info["resultUrl"]}')
        
        # 放大第一张图像
        print('\n开始放大第一张图像...')
        upscale_task_id = api.upscale_image(task_id, 1)
        
        upscale_result = api.wait_for_completion(upscale_task_id)
        print('图像放大成功！')
        print(f'放大后图像: {upscale_result["resultUrls"][0]["resultUrl"]}')
        
    except Exception as error:
        print(f'错误: {error}')

if __name__ == '__main__':
    main()