API Model AI Qwen Image 3.0 Pro Teks-ke-Gambar Gratis untuk Seni

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// Step 1: Submit generation request
const response = await fetch('https://api.flaq.ai/api/v1/image/task', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': 'Bearer YOUR_API_KEY'
  },
  body: JSON.stringify({
    model_name: 'qwen-image-3.0-pro',
    prompt: 'A professional product photo with studio lighting',
    width: 16,
    height: 9,
    resolution: '2k',
    seed: 42
  })
});

const { data } = await response.json();
const taskId = data.task_id;

Contoh Polling

// Step 2: Poll for results
const taskId = data.task_id;

const pollResult = async (taskId) => {
  const res = await fetch(`https://api.flaq.ai/api/v1/image/${taskId}`, {
    headers: { 'Authorization': 'Bearer YOUR_API_KEY' }
  });
  return res.json();
};

while (true) {
  const pollResultData = await pollResult(taskId);
  const status = pollResultData.data.task_status;

  if (status === 'succeed') {
    console.log(pollResultData.data.task_result.images[].);
    ;
  }

   (status === ) {
    .(pollResultData..);
    ;
  }

    ( (resolve, ));
}

Contoh Pengiriman

# Step 1: Submit generation request
import requests

response = requests.post(
    'https://api.flaq.ai/api/v1/image/task',
    headers={
        'Content-Type': 'application/json',
        'Authorization': 'Bearer YOUR_API_KEY'
    },
    json={
        'model_name': 'qwen-image-3.0-pro',
        'prompt': 'A professional product photo with studio lighting',
        'width': 16,
        'height': 9,
        'resolution': '2k',
        'seed': 42
    }
)

result = response.json()
task_id = result['data']['task_id']

Contoh Polling

Contoh Pengiriman

# Step 1: Submit generation request
curl -X POST https://api.flaq.ai/api/v1/image/task \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model_name": "qwen-image-3.0-pro",
    "prompt": "A professional product photo with studio lighting",
    "width": 16,
    "height": 9,
    "resolution": "2k",
    "seed": 42
  }'

Contoh Polling

# Step 2: Poll for results
# Replace {task_id} with the task_id returned from the submit response
curl -X GET "https://api.flaq.ai/api/v1/image/{task_id}" \
  -H "Authorization: Bearer YOUR_API_KEY"

# Step 2: Poll for results
task_id = response.json()['data']['task_id']
poll_url = f"https://api.flaq.ai/api/v1/image/{task_id}"

while True:
    poll_result = requests.get(poll_url, headers={'Authorization': 'Bearer YOUR_API_KEY'}).json()
    status = poll_result['data']['task_status']
    if status == 'succeed':
        print(poll_result['data']['task_result']['images'][0]['url'])
        break
    if status == 'failed':
        print(poll_result['data']['task_status_msg'])
        break
    time.sleep(10)

Model Qwen Image 3.0 Pro Terkait

Contoh

API Profesional Qwen Image 3.0 Pro (Pembuatan Gambar Canggih dari Alibaba)

Fitur Utama Qwen Image 3.0 Pro API

Cara Menggunakan Qwen Image 3.0 Pro API untuk Pembuatan Gambar Profesional di Best Image AI

Kasus Penggunaan Terbaik untuk Integrasi Qwen Image 3.0 Pro API

Qwen Image 3.0 Pro vs. Pesaing: Analisis Perbandingan

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Model Qwen Image 3.0 Pro Terkait

Contoh

Model Terkait

API Profesional Qwen Image 3.0 Pro (Pembuatan Gambar Canggih dari Alibaba)

Fitur Utama Qwen Image 3.0 Pro API

Cara Menggunakan Qwen Image 3.0 Pro API untuk Pembuatan Gambar Profesional di Best Image AI

Kasus Penggunaan Terbaik untuk Integrasi Qwen Image 3.0 Pro API

Qwen Image 3.0 Pro vs. Pesaing: Analisis Perbandingan

Contoh API

Contoh Pengiriman

Contoh Polling

Contoh Pengiriman

Contoh Polling

Contoh Pengiriman

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