Image editing

curl https://open.tutujin.com/v1/images/edits \
  -H "Authorization: Bearer $TUTUJIN_API_KEY" \
  -F model="gpt-image-1.5" \
  -F "image[]=@mug.png" \
  -F "image[]=@logo.png" \
  -F prompt="Print the logo from the second image on the front of the mug; keep the mug's shape, color and lighting unchanged"

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.edit(
    model="gpt-image-1.5",
    image=[open("mug.png", "rb"), open("logo.png", "rb")],
    prompt="Print the logo from the second image on the front of the mug; keep the mug's shape, color and lighting unchanged",
)
img = resp.data[0]
if img.b64_json:
    with open("mug-logo.png", "wb") as f:
        f.write(base64.b64decode(img.b64_json))
else:
    print(img.url)  # temporary link: download and store it right away

import fs from 'node:fs'
import OpenAI, { toFile } 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.edit({
  model: 'gpt-image-1.5',
  image: [
    await toFile(fs.createReadStream('mug.png'), 'mug.png', { type: 'image/png' }),
    await toFile(fs.createReadStream('logo.png'), 'logo.png', { type: 'image/png' }),
  ],
  prompt: "Print the logo from the second image on the front of the mug; keep the mug's shape, color and lighting unchanged",
})
const img = resp.data[0]
if (img.b64_json) fs.writeFileSync('mug-logo.png', Buffer.from(img.b64_json, 'base64'))
else console.log(img.url)

curl https://open.tutujin.com/v1/images/edits \
  -H "Authorization: Bearer $TUTUJIN_API_KEY" \
  -F model="gpt-image-1.5" \
  -F "image[]=@room.png" \
  -F mask=@mask.png \
  -F prompt="Place a potted plant in the transparent area, matching the room's style and lighting"

{
  "created": 1794000000,
  "data": [
    { "b64_json": "iVBORw0KGgo..." }
  ]
}