上传图片

上传图片获取 URL，用于图像/视频生成接口

为什么需要先上传图片？

1. 性能优化 - base64 编码会使数据膨胀 33%，先上传可显著减少请求体大小
2. 复用图片 - 上传一次，URL 可多次使用，无需重复传输

使用流程

sequenceDiagram
    participant 客户端
    participant AiBox
    participant 存储

    客户端->>AiBox: POST /v1/uploads/images (上传图片文件)
    AiBox->>存储: 保存图片
    存储-->>AiBox: 返回存储路径
    AiBox-->>客户端: 返回图片 URL
    客户端->>AiBox: POST /v1/images/generations (使用图片 URL)

curl --request POST \
  --url https://aiboxapi.com/v1/uploads/images \
  --header 'Authorization: Bearer <token>' \
  --form 'file=@/path/to/your/image.jpg'

import requests

# 上传图片
with open('image.jpg', 'rb') as f:
    response = requests.post(
        "https://aiboxapi.com/v1/uploads/images",
        headers={
            "Authorization": "Bearer <token>"
        },
        files={
            "file": f
        }
    )

result = response.json()
image_url = result['url']
print(f"图片 URL: {image_url}")

# 使用上传的图片进行生成
response = requests.post(
    "https://aiboxapi.com/v1/images/generations",
    headers={
        "Authorization": "Bearer <token>",
        "Content-Type": "application/json"
    },
    json={
        "model": "gemini-3-pro-image-preview",
        "prompt": "基于这张图片创作变体",
        "image_urls": [{"url": image_url}]
    }
)

// 上传图片
const formData = new FormData();
formData.append('file', fileInput.files[0]);

const uploadResponse = await fetch('https://aiboxapi.com/v1/uploads/images', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer <token>'
  },
  body: formData
});

const uploadResult = await uploadResponse.json();
const imageUrl = uploadResult.url;
console.log(`图片 URL: ${imageUrl}`);

// 使用上传的图片进行生成
const genResponse = await fetch('https://aiboxapi.com/v1/images/generations', {
  method: 'POST',
  headers: {
    'Authorization': 'Bearer <token>',
    'Content-Type': 'application/json'
  },
  body: JSON.stringify({
    model: 'gemini-3-pro-image-preview',
    prompt: '基于这张图片创作变体',
    image_urls: [{url: imageUrl}]
  })
});

{
  "url": "https://upload.aiboxapi.com/f/image/9990000123456-a1b2c3d4-photo.jpg",
  "filename": "photo.jpg",
  "content_type": "image/jpeg",
  "bytes": 235680,
  "created_at": 1743436800
}

{
  "error": {
    "message": "missing or invalid file field: http: no such file",
    "type": "invalid_request_error"
  }
}

{
  "error": {
    "message": "unsupported image type: application/pdf, allowed: jpeg, png, gif, webp",
    "type": "invalid_request_error"
  }
}

{
  "error": {
    "message": "file size 25165824 exceeds maximum 20971520 bytes",
    "type": "invalid_request_error"
  }
}

{
  "error": {
    "code": 429,
    "message": "Rate limit exceeded. Please try again later",
    "type": "rate_limit_error"
  }
}

{
  "error": {
    "message": "failed to upload image",
    "type": "server_error"
  }
}

Authorizations

Authorization: Bearer YOUR_API_KEY

Body

Response

完整示例：图生图工作流

import requests
import time

API_KEY = "your-AiBox-key"
BASE_URL = "https://aiboxapi.com"

# 第一步：上传参考图片
def upload_image(file_path):
    with open(file_path, 'rb') as f:
        response = requests.post(
            f"{BASE_URL}/v1/uploads/images",
            headers={"Authorization": f"Bearer {API_KEY}"},
            files={"file": f}
        )
    return response.json()['url']

# 第二步：创建生成任务
def create_generation(image_url, prompt):
    response = requests.post(
        f"{BASE_URL}/v1/images/generations",
        headers={
            "Authorization": f"Bearer {API_KEY}",
            "Content-Type": "application/json"
        },
        json={
            "model": "gemini-3-pro-image-preview",
            "prompt": prompt,
            "image_urls": [{"url": image_url}],
            "size": "16:9"
        }
    )
    return response.json()['id']

# 第三步：轮询任务状态
def wait_for_result(task_id):
    while True:
        response = requests.get(
            f"{BASE_URL}/v1/images/generations/{task_id}",
            headers={"Authorization": f"Bearer {API_KEY}"}
        )
        result = response.json()

        if result['status'] == 'completed':
            return result['url']
        elif result['status'] == 'failed':
            raise Exception(f"生成失败: {result.get('fail_reason')}")

        time.sleep(2)

# 执行工作流
image_url = upload_image("reference.jpg")
print(f"图片已上传: {image_url}")

task_id = create_generation(image_url, "将这张照片转换为吉卜力动画风格")
print(f"任务已创建: {task_id}")

result_url = wait_for_result(task_id)
print(f"生成完成: {result_url}")