POST /v1/uploads/images — 上传图片

POST https://geekapis.com/v1/uploads/images

{
  "success": true,
  "data": {
    "id": "upload_abc12345",
    "url": "https://files.toapis.com/uploads/abc12345.jpg",
    "mime_type": "image/jpeg",
    "size": 89234
  }
}

import requests
import time

api_key = "sk-xxxxxxxx"
base_url = "https://geekapis.com"
headers = {"Authorization": f"Bearer {api_key}"}

# 步骤 1：上传图片
with open("input.jpg", "rb") as f:
    upload_resp = requests.post(
        f"{base_url}/v1/uploads/images",
        headers=headers,
        files={"file": ("input.jpg", f, "image/jpeg")}
    )
image_url = upload_resp.json()["data"]["url"]

# 步骤 2：创建图像生成任务
gen_resp = requests.post(
    f"{base_url}/v1/images/generations",
    headers={**headers, "Content-Type": "application/json"},
    json={
        "model": "gpt-image-2",
        "prompt": "将图片转为油画风格",
        "image_urls": [image_url]
    }
)
task_id = gen_resp.json()["id"]

# 步骤 3：轮询结果
time.sleep(2)
for _ in range(40):
    result = requests.get(
        f"{base_url}/v1/images/generations/{task_id}",
        headers=headers
    ).json()
    if result["status"] == "completed":
        print("图片 URL:", result["result"]["data"][0]["url"])
        break
    elif result["status"] == "failed":
        print("生成失败:", result["error"]["message"])
        break
    time.sleep(3)

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