Free Google Gemini Omni 1.1 Flash API for Text-to-Video

API Examples

Submit Example

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: 'gemini-omni-1.1-flash-text-to-video',
    prompt: 'A cinematic tracking shot follows a sailboat crossing a glowing ocean at sunset',
    aspect_ratio: '16:9',
    resolution: '1080p',
    duration: 8
  })
});

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

Polling Example

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

const pollResult = async (taskId) => {
  const res = await fetch(`https://api.flaq.ai/api/v1/video/${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.videos[0].url);
    break;
  }

  if (status === 'failed') {
    console.error(pollResultData.data.task_status_msg);
    break;
  }

  await new Promise(resolve => setTimeout(resolve, ));
}

Submit Example

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': 'gemini-omni-1.1-flash-text-to-video',
        'prompt': 'A cinematic tracking shot follows a sailboat crossing a glowing ocean at sunset',
        'aspect_ratio': '16:9',
        'resolution': '1080p',
        'duration': 8
    }
)

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

Polling Example

Submit Example

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": "gemini-omni-1.1-flash-text-to-video",
    "prompt": "A cinematic tracking shot follows a sailboat crossing a glowing ocean at sunset",
    "aspect_ratio": "16:9",
    "resolution": "1080p",
    "duration": 8
  }'

Polling Example

# 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/video/{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/video/{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']['videos'][0]['url'])
        break
    if status == 'failed':
        print(poll_result['data']['task_status_msg'])
        break
    time.sleep(10)

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How to Use Gemini Omni 1.1 Flash Text-to-Video API on Best Image AI

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API Examples

Submit Example

Polling Example

Submit Example

Polling Example

Submit Example

Polling Example

More Articles for Gemini Omni 1.1 Flash Text to Video

Related Gemini Omni 1.1 Flash Models

Related Models

Gemini Omni 1.1 Flash Text-to-Video API for Cinematic Video Generation

Key Features of Gemini Omni 1.1 Flash Text-to-Video API

How to Use Gemini Omni 1.1 Flash Text-to-Video API on Best Image AI

Best Use Cases for Gemini Omni 1.1 Flash Text-to-Video API Integration

Gemini Omni 1.1 Flash Text-to-Video vs Competitors: Comparative Analysis

API Examples

Submit Example

Polling Example

Submit Example

Polling Example

Submit Example

Polling Example

More Articles for Gemini Omni 1.1 Flash Text to Video