图像生成 Images Generations

curl https://open.tutujin.com/v1/images/generations \
  -H "Authorization: Bearer $TUTUJIN_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "白色背景上的一只陶瓷保温杯，柔和棚拍光，产品摄影，正面略俯视",
    "size": "1024x1024"
  }'

import base64
import os
from openai import OpenAI

client = OpenAI(base_url="https://open.tutujin.com/v1", api_key=os.environ["TUTUJIN_API_KEY"], timeout=300)

resp = client.images.generate(
    model="gpt-image-2",
    prompt="白色背景上的一只陶瓷保温杯，柔和棚拍光，产品摄影，正面略俯视",
    size="1024x1024",
)
img = resp.data[0]
if img.b64_json:
    with open("cup.png", "wb") as f:
        f.write(base64.b64decode(img.b64_json))
else:
    print(img.url)  # 临时链接，拿到后尽快下载保存

import fs from 'node:fs'
import OpenAI from 'openai'

const client = new OpenAI({ baseURL: 'https://open.tutujin.com/v1', apiKey: process.env.TUTUJIN_API_KEY, timeout: 300_000 })

const resp = await client.images.generate({
  model: 'gpt-image-2',
  prompt: '白色背景上的一只陶瓷保温杯，柔和棚拍光，产品摄影，正面略俯视',
  size: '1024x1024',
})
const img = resp.data[0]
if (img.b64_json) fs.writeFileSync('cup.png', Buffer.from(img.b64_json, 'base64'))
else console.log(img.url) // 临时链接，拿到后尽快下载保存

{
  "created": 1794000000,
  "data": [
    {
      "url": "https://example.com/generated/cup.png",
      "revised_prompt": "..."
    }
  ]
}