curl --request POST \
  --url https://api.apimart.ai/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --header 'Accept: application/json' \
  --header 'Idempotency-Key: <unique-operation-key>' \
  --data '{
    "model": "muse-image-ext",
    "prompt": "A red ceramic cup on a white table, soft studio lighting, product photography, no text",
    "aspect_ratio": "1:1",
    "n": 1
  }'

import requests

response = requests.post(
    "https://api.apimart.ai/v1/images/generations",
    headers={
        "Authorization": "Bearer <token>",
        "Accept": "application/json",
        "Idempotency-Key": "<unique-operation-key>"
    },
    json={
        "model": "muse-image-ext",
        "prompt": "A red ceramic cup on a white table, soft studio lighting, product photography, no text",
        "aspect_ratio": "1:1",
        "n": 1
    }
)
response.raise_for_status()
print(response.json())

const response = await fetch("https://api.apimart.ai/v1/images/generations", {
  method: "POST",
  headers: {
    Authorization: "Bearer <token>",
    "Content-Type": "application/json",
    Accept: "application/json",
    "Idempotency-Key": "<unique-operation-key>"
  },
  body: JSON.stringify({
    "model": "muse-image-ext",
    "prompt": "A red ceramic cup on a white table, soft studio lighting, product photography, no text",
    "aspect_ratio": "1:1",
    "n": 1
  })
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());

{
  "code": 200,
  "data": [
    {
      "status": "submitted",
      "task_id": "task_01K..."
    }
  ]
}