Images API

curl https://your-gateway/v1/images/generations \
  -H "Authorization: Bearer $GOMODEL_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-1",
    "prompt": "A watercolor painting of a lighthouse at dawn",
    "n": 1,
    "size": "1024x1024",
    "quality": "medium"
  }'

import base64
import os

from openai import OpenAI

client = OpenAI(
    base_url="https://your-gateway/v1",
    api_key=os.environ["GOMODEL_KEY"],
)

result = client.images.generate(
    model="gpt-image-1",
    prompt="A watercolor painting of a lighthouse at dawn",
    size="1024x1024",
    quality="medium",
)

with open("lighthouse.png", "wb") as f:
    f.write(base64.b64decode(result.data[0].b64_json))

import { writeFile } from "node:fs/promises";
import OpenAI from "openai";

const client = new OpenAI({
  baseURL: "https://your-gateway/v1",
  apiKey: process.env.GOMODEL_KEY,
});

const result = await client.images.generate({
  model: "gpt-image-1",
  prompt: "A watercolor painting of a lighthouse at dawn",
  size: "1024x1024",
  quality: "medium",
});

await writeFile("lighthouse.png", Buffer.from(result.data[0].b64_json, "base64"));

curl https://your-gateway/v1/images/edits \
  -H "Authorization: Bearer $GOMODEL_KEY" \
  -F model="gpt-image-1" \
  -F image="@lighthouse.png" \
  -F mask="@mask.png" \
  -F prompt="Add a sailboat on the horizon" \
  -F size="1024x1024"

result = client.images.edit(
    model="gpt-image-1",
    image=open("lighthouse.png", "rb"),
    mask=open("mask.png", "rb"),
    prompt="Add a sailboat on the horizon",
    size="1024x1024",
)

with open("lighthouse-edited.png", "wb") as f:
    f.write(base64.b64decode(result.data[0].b64_json))

import fs from "node:fs";

const result = await client.images.edit({
  model: "gpt-image-1",
  image: fs.createReadStream("lighthouse.png"),
  mask: fs.createReadStream("mask.png"),
  prompt: "Add a sailboat on the horizon",
  size: "1024x1024",
});

await writeFile("lighthouse-edited.png", Buffer.from(result.data[0].b64_json, "base64"));