Text-to-Video向け無料Google Gemini Omni 1.1 Flash生成API

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API 例

送信例

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;

ポーリング例

// 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, ));
}

送信例

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']

ポーリング例

送信例

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
  }'

ポーリング例

# 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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Gemini Omni 1.1 Flash Text-to-Video と競合製品の比較分析

API 例

送信例

ポーリング例

送信例

ポーリング例

送信例

ポーリング例

Gemini Omni 1.1 Flash Text to Video に関するその他の記事

関連する Gemini Omni 1.1 Flash モデル

関連モデル

映画品質の動画生成に対応する Gemini Omni 1.1 Flash Text-to-Video API

Gemini Omni 1.1 Flash Text-to-Video API の主な機能

Best Image AI で Gemini Omni 1.1 Flash Text-to-Video API を使用する方法

Gemini Omni 1.1 Flash Text-to-Video API 連携の最適な用途

Gemini Omni 1.1 Flash Text-to-Video と競合製品の比較分析

API 例

送信例

ポーリング例

送信例

ポーリング例

送信例

ポーリング例

Gemini Omni 1.1 Flash Text to Video に関するその他の記事