文生图

curl -s https://api.ofox.ai/v1/images/generations \
  -H "Authorization: Bearer YOUR_OFOX_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "openai/gpt-image-2.5-flare",
    "prompt": "白色桌面上的一个红苹果,柔和的自然光",
    "size": "1024x1024",
    "quality": "low"
  }' \
  -o response.json
 
# 图片以 base64 返回,解码保存(需要 jq;出错时直接看 response.json)
jq -r '.data[0].b64_json' response.json | base64 --decode > output.png

import base64
from openai import OpenAI
 
client = OpenAI(
    api_key="YOUR_OFOX_API_KEY",  # 替换成你的 Key
    base_url="https://api.ofox.ai/v1",
)
 
result = client.images.generate(
    model="openai/gpt-image-2.5-flare",
    prompt="白色桌面上的一个红苹果,柔和的自然光",
    size="1024x1024",
    quality="low",
)
 
with open("output.png", "wb") as f:
    f.write(base64.b64decode(result.data[0].b64_json))
print("已保存 output.png")

// Node.js 18+,无需安装任何依赖
import { writeFileSync } from "node:fs";
 
const res = await fetch("https://api.ofox.ai/v1/images/generations", {
  method: "POST",
  headers: {
    Authorization: "Bearer YOUR_OFOX_API_KEY", // 替换成你的 Key
    "Content-Type": "application/json",
  },
  body: JSON.stringify({
    model: "openai/gpt-image-2.5-flare",
    prompt: "白色桌面上的一个红苹果,柔和的自然光",
    size: "1024x1024",
    quality: "low",
  }),
});
 
const json = await res.json();
if (!res.ok) throw new Error(JSON.stringify(json));
writeFileSync("output.png", Buffer.from(json.data[0].b64_json, "base64"));
console.log("已保存 output.png");