curl --request POST \
  --url https://api.apimart.ai/v1/images/generations \
  --header 'Authorization: Bearer <token>' \
  --header 'Content-Type: application/json' \
  --data '{
    "model": "qwen-image-3.0",
    "prompt": "A cafe poster with the title Autumn Limited, warm tones, refined layout",
    "size": "16:9",
    "resolution": "1K"
  }'

import requests

url = "https://api.apimart.ai/v1/images/generations"

payload = {
    "model": "qwen-image-3.0",
    "prompt": "A cafe poster with the title Autumn Limited, warm tones, refined layout",
    "size": "16:9",
    "resolution": "1K",
}

headers = {
    "Authorization": "Bearer <token>",
    "Content-Type": "application/json",
}

response = requests.post(url, json=payload, headers=headers)

print(response.json())

const url = "https://api.apimart.ai/v1/images/generations";

const payload = {
  model: "qwen-image-3.0",
  prompt: "A cafe poster with the title Autumn Limited, warm tones, refined layout",
  size: "16:9",
  resolution: "1K",
};

const headers = {
  Authorization: "Bearer <token>",
  "Content-Type": "application/json",
};

fetch(url, {
  method: "POST",
  headers: headers,
  body: JSON.stringify(payload),
})
  .then((response) => response.json())
  .then((data) => console.log(data))
  .catch((error) => console.error("Error:", error));

{
  "code": 200,
  "data": [
    {
      "status": "submitted",
      "task_id": "task_01JGXYZ1234567890ABCDEF"
    }
  ]
}

{
  "error": {
    "code": 400,
    "message": "잘못된 요청 매개변수입니다",
    "type": "invalid_request_error"
  }
}

{
  "error": {
    "code": 401,
    "message": "인증에 실패했습니다. API 키를 확인해주세요",
    "type": "authentication_error"
  }
}

{
  "error": {
    "code": 402,
    "message": "잔액이 부족합니다. 충전 후 다시 시도해주세요",
    "type": "payment_required"
  }
}

{
  "error": {
    "code": 429,
    "message": "요청이 너무 많습니다. 잠시 후 다시 시도해주세요",
    "type": "rate_limit_error"
  }
}