curl --request POST \
  --url https://api.apimart.ai/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "hy-image-v3.5-preview",
    "prompt": "A golden retriever running on a beach in warm evening light",
    "size": "16:9",
    "resolution": "2K"
  }'

import requests

response = requests.post(
    "https://api.apimart.ai/v1/images/generations",
    headers={"Authorization": "Bearer <token>"},
    json={
        "model": "hy-image-v3.5-preview",
        "prompt": "A golden retriever running on a beach in warm evening light",
        "size": "16:9",
        "resolution": "2K"
    }
)
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"
  },
  body: JSON.stringify({
    model: "hy-image-v3.5-preview",
    prompt: "A golden retriever running on a beach in warm evening light",
    size: "16:9",
    resolution: "2K"
  })
});
if (!response.ok) throw new Error(await response.text());
console.log(await response.json());

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