Grok Image API

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

Authorization: Bearer YOUR_API_KEY

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

import OpenAI from "openai";

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

const result = await client.images.generate({
  model: "grok-imagine-image",
  prompt: "A blue ceramic mug, light-gray studio background, soft side lighting, no text",
  n: 1,
  size: "1024x1024",
});

const url = result.data?.[0]?.url;
if (!url) throw new Error("No image URL in the response");
console.log(url);

from openai import OpenAI
import requests

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

result = client.images.generate(
    model="grok-imagine-image",
    prompt="A blue ceramic mug, light-gray studio background, soft side lighting, no text",
    n=1,
    size="1024x1024",
)

url = result.data[0].url
if not url:
    raise RuntimeError("No image URL in the response")

image = requests.get(url, timeout=60)
image.raise_for_status()
with open("grok-output.jpg", "wb") as f:
    f.write(image.content)

curl https://api.lmuai.com/v1/images/edits \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -H "Content-Type: application/json" \
  -d '{
    "model": "grok-imagine-image-quality",
    "prompt": "Keep the mug's shape, composition, and lighting; change the mug from blue to yellow; no text",
    "image": {
      "url": "https://example.com/input.jpg",
      "type": "image_url"
    },
    "response_format": "url"
  }'

import base64
import mimetypes
import requests

api_key = "YOUR_API_KEY"
image_path = "input.jpg"
mime_type = mimetypes.guess_type(image_path)[0] or "image/jpeg"

with open(image_path, "rb") as f:
    data_url = f"data:{mime_type};base64,{base64.b64encode(f.read()).decode()}"

payload = {
    "model": "grok-imagine-image-quality",
    "prompt": "Keep the subject and composition; change the background to a seaside at dusk; no text",
    "image": {
        "url": data_url,
        "type": "image_url",
    },
    "response_format": "url",
}

response = requests.post(
    "https://api.lmuai.com/v1/images/edits",
    headers={
        "Authorization": f"Bearer {api_key}",
        "Content-Type": "application/json",
    },
    json=payload,
    timeout=300,
)
response.raise_for_status()
result = response.json()
print(result["data"][0]["url"])

{
  "data": [
    {
      "url": "https://image-host.example/generated.jpg"
    }
  ],
  "usage": {
    "cost_in_usd_ticks": 200000000
  }
}