GPT Image API

Authorization: Bearer YOUR_API_KEY

curl https://api.lmuai.com/v1/models \
  -H "Authorization: Bearer YOUR_API_KEY"

{
  "object": "list",
  "data": [
    {"id": "gpt-image-2", "object": "model"}
  ]
}

curl https://api.lmuai.com/v1/images/generations \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "gpt-image-2",
    "prompt": "A red ceramic mug, centered on a light-gray studio background, soft side lighting, no text",
    "n": 1,
    "size": "1024x1024",
    "quality": "low",
    "output_format": "png"
  }'

from openai import OpenAI
import base64

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.lmuai.com/v1",
)

result = client.images.generate(
    model="gpt-image-2",
    prompt="A red ceramic mug, light-gray studio background, soft side lighting, no text",
    size="1024x1024",
    quality="low",
)

item = result.data[0]

if item.b64_json:
    with open("gpt-output.png", "wb") as f:
        f.write(base64.b64decode(item.b64_json))
elif item.url:
    print(item.url)
else:
    raise RuntimeError("No valid image in the response")

import OpenAI from "openai";
import fs from "node:fs";

const client = new OpenAI({
  apiKey: process.env.LMU_API_KEY,
  baseURL: "https://api.lmuai.com/v1",
});

const result = await client.images.generate({
  model: "gpt-image-2",
  prompt: "A red ceramic mug, light-gray studio background, soft side lighting, no text",
  size: "1024x1024",
  quality: "low",
  output_format: "png",
});

const item = result.data?.[0];
if (item?.b64_json) {
  fs.writeFileSync("gpt-output.png", Buffer.from(item.b64_json, "base64"));
} else if (item?.url) {
  console.log(item.url);
} else {
  throw new Error("No valid image in the response");
}

curl https://api.lmuai.com/v1/images/edits \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -F "model=gpt-image-2" \
  -F "prompt=Keep the mug's shape, composition, and lighting; change the mug from red to green; no text" \
  -F "image=@./input.png" \
  -F "size=1024x1024" \
  -F "quality=low" \
  -F "output_format=png"

from openai import OpenAI
import base64

client = OpenAI(
    api_key="YOUR_API_KEY",
    base_url="https://api.lmuai.com/v1",
)

with open("input.png", "rb") as image_file:
    result = client.images.edit(
        model="gpt-image-2",
        image=image_file,
        prompt="Keep the subject and composition; change the background to a neon street on a rainy night",
        size="1024x1024",
        quality="low",
    )

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

-F "mask=@./mask.png"

{
  "created": 1760000000,
  "data": [
    {
      "b64_json": "iVBORw0KGgoAAA..."
    }
  ],
  "background": "opaque",
  "output_format": "png",
  "quality": "low",
  "size": "1024x1024",
  "model": "gpt-image-2",
  "usage": {
    "input_tokens": 48,
    "output_tokens": 186,
    "total_tokens": 234
  }
}