// Step 1: Submit generation request
const response = await fetch('https://api.flaq.ai/api/v1/video/task', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': 'Bearer YOUR_API_KEY'
  },
  body: JSON.stringify({
    model_name: 'viduq3-reference-to-video',
    prompt: 'Keep the character from image one and the jacket details from image two while walking through a rainy city',
    resolution: '1080p',
    duration: 8,
    aspect_ratio: '9:16',
    images: [
      'https://example.com/character-reference.jpg',
      'https://example.com/outfit-reference.jpg'
    ],
    sound: true,
    seed: 42
  })
});

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

// Use the @ (AT) reference feature in prompt through <<<...>>> placeholders.
// Placeholder numbering is 1-based and follows the images array order:
// <<<image_1>>> = images[0], <<<image_2>>> = images[1], <<<image_3>>> = images[2]
const mediaReferenceResponse = await fetch('https://api.flaq.ai/api/v1/video/task', {
  method: 'POST',
  headers: {
    'Content-Type': 'application/json',
    'Authorization': 'Bearer YOUR_API_KEY'
  },
  body: JSON.stringify({
    model_name: 'viduq3-reference-to-video',
    prompt: 'Keep the character from <<<image_1>>> wearing the coat from <<<image_2>>> while entering the rainy city shown in <<<image_3>>>, then return to a close-up of <<<image_1>>>',
    resolution: '1080p',
    duration: 8,
    aspect_ratio: '9:16',
    images: [
      'https://example.com/character-reference.jpg',
      'https://example.com/coat-reference.jpg',
      'https://example.com/rainy-city-reference.jpg'
    ],
    sound: true,
    seed: 42
  })
});

const { data: mediaReferenceData } = await mediaReferenceResponse.json();
const mediaReferenceTaskId = mediaReferenceData.task_id;

# Step 1: Submit generation request
import requests

response = requests.post(
    'https://api.flaq.ai/api/v1/video/task',
    headers={
        'Content-Type': 'application/json',
        'Authorization': 'Bearer YOUR_API_KEY'
    },
    json={
        'model_name': 'viduq3-reference-to-video',
        'prompt': 'Keep the character from image one and the jacket details from image two while walking through a rainy city',
        'resolution': '1080p',
        'duration': 8,
        'aspect_ratio': '9:16',
        'images': [
            'https://example.com/character-reference.jpg',
            'https://example.com/outfit-reference.jpg'
        ],
        'sound': True,
        'seed': 42
    }
)

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

# Use the @ (AT) reference feature in prompt through <<<...>>> placeholders.
# Placeholder numbering is 1-based and follows the images array order:
# <<<image_1>>> = images[0], <<<image_2>>> = images[1], <<<image_3>>> = images[2]
media_reference_response = requests.post(
    'https://api.flaq.ai/api/v1/video/task',
    headers={
        'Content-Type': 'application/json',
        'Authorization': 'Bearer YOUR_API_KEY'
    },
    json={
        'model_name': 'viduq3-reference-to-video',
        'prompt': 'Keep the character from <<<image_1>>> wearing the coat from <<<image_2>>> while entering the rainy city shown in <<<image_3>>>, then return to a close-up of <<<image_1>>>',
        'resolution': '1080p',
        'duration': 8,
        'aspect_ratio': '9:16',
        'images': [
            'https://example.com/character-reference.jpg',
            'https://example.com/coat-reference.jpg',
            'https://example.com/rainy-city-reference.jpg'
        ],
        'sound': True,
        'seed': 42
    }
)

media_reference_result = media_reference_response.json()
media_reference_task_id = media_reference_result['data']['task_id']

# Step 1: Submit generation request
curl -X POST https://api.flaq.ai/api/v1/video/task \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model_name": "viduq3-reference-to-video",
    "prompt": "Keep the character from image one and the jacket details from image two while walking through a rainy city",
    "resolution": "1080p",
    "duration": 8,
    "aspect_ratio": "9:16",
    "images": [
      "https://example.com/character-reference.jpg",
      "https://example.com/outfit-reference.jpg"
    ],
    "sound": true,
    "seed": 42
  }'

# Use the @ (AT) reference feature in prompt through <<<...>>> placeholders.
# Placeholder numbering is 1-based and follows the images array order:
# <<<image_1>>> = images[0], <<<image_2>>> = images[1], <<<image_3>>> = images[2]
curl -X POST https://api.flaq.ai/api/v1/video/task \
  -H "Content-Type: application/json" \
  -H "Authorization: Bearer YOUR_API_KEY" \
  -d '{
    "model_name": "viduq3-reference-to-video",
    "prompt": "Keep the character from <<<image_1>>> wearing the coat from <<<image_2>>> while entering the rainy city shown in <<<image_3>>>, then return to a close-up of <<<image_1>>>",
    "resolution": "1080p",
    "duration": 8,
    "aspect_ratio": "9:16",
    "images": [
      "https://example.com/character-reference.jpg",
      "https://example.com/coat-reference.jpg",
      "https://example.com/rainy-city-reference.jpg"
    ],
    "sound": true,
    "seed": 42
  }'