curl -X POST "https://api.tokenops.ai/v1/images/generations" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <API-KEY>" \
  -d '{
    "prompt": "一只可爱的小猫在花园里玩耍，阳光明媚，油画风格",
    "model": "qwen-image-plus",
    "size": "1328x1328",
    "n": 1,
    "response_format": "url",
    "optimize_prompt_options": {
      "enable": true,
      "negative_prompt": "低分辨率、错误、最差质量"
    }
  }'

import requests
import json
import base64
from PIL import Image
from io import BytesIO

API_KEY = "<API-KEY>"
BASE_URL = "https://api.tokenops.ai/v1"

def generate_image_qwen(prompt, model="qwen-image-plus", size="1328x1328",
                       enable_optimize=True, negative_prompt=None, response_format="url"):
    """
    使用千问API生成图片

    Args:
        prompt: 图片描述文本
        model: 模型名称，可选qwen-image-plus或qwen-image
        size: 图片尺寸
        enable_optimize: 是否开启智能改写
        negative_prompt: 反向提示词
        response_format: 返回格式，url或b64_json
    """
    url = f"{BASE_URL}/images/generations"
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {API_KEY}"
    }

    data = {
        "prompt": prompt,
        "model": model,
        "size": size,
        "response_format": response_format,
        "optimize_prompt_options": {
            "enable": enable_optimize
        }
    }

    if negative_prompt:
        data["optimize_prompt_options"]["negative_prompt"] = negative_prompt
    
    response = requests.post(url, headers=headers, json=data)
    
    if response.status_code == 200:
        result = response.json()
        images = []
        
        # 显示响应信息
        if 'request_id' in result:
            print(f"请求ID: {result['request_id']}")
        if 'usage' in result:
            usage = result['usage']
            print(f"生成信息: 图片数量={usage.get('image_count')}, 尺寸={usage.get('width')}x{usage.get('height')}")
        
        # 处理生成的图片
        if 'output' in result and 'choices' in result['output']:
            for choice in result['output']['choices']:
                if choice.get('message') and choice['message'].get('content'):
                    for content in choice['message']['content']:
                        if 'image' in content:
                            print(f"图片URL: {content['image']}")
                            images.append(content['image'])
        
        return images
    else:
        print(f"错误: {response.status_code} - {response.text}")
        return None

# 基础使用示例
if __name__ == "__main__":
    prompt = "一只可爱的小猫在花园里玩耍，阳光明媚，油画风格"
    images = generate_image_qwen(
        prompt=prompt,
        negative_prompt="低分辨率、错误、最差质量、低质量"
    )
    
    if images:
        print(f"成功生成 {len(images)} 张图片")

import requests
import json

API_KEY = "<API-KEY>"
BASE_URL = "https://api.tokenops.ai/v1"

def generate_image_qwen_advanced(prompt, **kwargs):
    """
    千问图片生成高级功能示例

    支持的高级参数：
    - enable_optimize: 智能改写功能
    - negative_prompt: 反向提示词
    - seed: 随机数种子
    - watermark: 水印设置
    """
    url = f"{BASE_URL}/images/generations"
    headers = {
        "Content-Type": "application/json",
        "Authorization": f"Bearer {API_KEY}"
    }

    # 基础参数
    data = {
        "prompt": prompt,
        "model": kwargs.get("model", "qwen-image-plus"),
        "size": kwargs.get("size", "1328x1328"),
        "response_format": kwargs.get("response_format", "url")
    }

    # 提示词优化配置
    optimize_options = {}
    if kwargs.get("enable_optimize") is not None:
        optimize_options["enable"] = kwargs["enable_optimize"]
    if kwargs.get("negative_prompt"):
        optimize_options["negative_prompt"] = kwargs["negative_prompt"]

    if optimize_options:
        data["optimize_prompt_options"] = optimize_options

    # 其他参数
    if kwargs.get("seed"):
        data["seed"] = kwargs["seed"]
    if kwargs.get("watermark") is not None:
        data["watermark"] = kwargs["watermark"]
    
    response = requests.post(url, headers=headers, json=data)
    
    if response.status_code == 200:
        result = response.json()
        print(f"请求ID: {result.get('request_id')}")
        
        if result.get('usage'):
            usage = result['usage']
            print(f"生成信息: 图片数量={usage.get('image_count')}, 尺寸={usage.get('width')}x{usage.get('height')}")
        
        return result
    else:
        print(f"错误: {response.status_code} - {response.text}")
        return None

# 高级功能使用示例
if __name__ == "__main__":
    # 1. 精确控制生成
    print("=== 精确控制生成示例 ===")
    result = generate_image_qwen_advanced(
        prompt="可爱的动物园场景，小熊猫在竹林中嬉戏",
        model="qwen-image-plus",
        size="1664x928",  # 16:9 宽屏
        enable_optimize=True,
        negative_prompt="模糊、低质量、变形、噪点",
        seed=12345,
        watermark=False
    )

    # 2. 高质量艺术创作
    print("\n=== 高质量艺术创作示例 ===")
    result = generate_image_qwen_advanced(
        prompt="中式古典园林，小桥流水，亭台楼阁，春意盎然，工笔画风格",
        model="qwen-image-plus",
        size="1140x1472",  # 3:4 竖版
        enable_optimize=True,
        negative_prompt="西式建筑、现代元素、工业风格"
    )

curl -X POST "https://api.tokenops.ai/v1/images/edits" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <API-KEY>" \
  -d '{
    "prompt": "生成一张符合深度图的图像，遵循以下描述：一辆红色的破旧的自行车停在一条泥泞的小路上，背景是茂密的原始森林",
    "model": "qwen-image-edit-plus",
    "size": "1328x1328",
    "image": [
      "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250925/fpakfo/image36.webp"
    ],
    "n": 1,
    "response_format": "url",
    "optimize_prompt_options": {
      "enable": true,
      "negative_prompt": "低分辨率、错误、最差质量"
    },
    "watermark": false
  }'

curl -X POST "https://api.tokenops.ai/v1/images/edits" \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer <API-KEY>" \
  -d '{
    "prompt": "图1中的女生穿着图2中的黑色裙子按图3的姿势坐下",
    "model": "qwen-image-edit-plus",
    "image": [
      "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250925/thtclx/input1.png",
      "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250925/iclsnx/input2.png",
      "https://help-static-aliyun-doc.aliyuncs.com/file-manage-files/zh-CN/20250925/gborgw/input3.png"
    ],
    "size": "1328x1328",
    "watermark": true
  }'