
AI 文本转图像生成器
使用领先 AI 图像模型、灵活设置和快速浏览器工作流,从提示词创建精致图像。
使用 Kling 3.0 Turbo 文生视频 API 更快生成视频,适合低成本创意工作流、流畅运动、可选音频和稳定可扩展的生产流程。可用于提示词测试、广告短片、社交内容和批量视频创作,帮助团队更快验证创意并扩展到稳定 API 工作流。
// 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: 'kling-3.0-turbo-text-to-video',
prompt: 'A girl sits on a train, looking out the window with a melancholic expression, cinematic lighting, realistic detail',
aspect_ratio: '16:9',
resolution: '720p',
duration: 5,
sound: true
})
});
const { data } = await response.json();
const taskId = data.task_id;
// 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, 10000));
}
# 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': 'kling-3.0-turbo-text-to-video',
'prompt': 'A girl sits on a train, looking out the window with a melancholic expression, cinematic lighting, realistic detail',
'aspect_ratio': '16:9',
'resolution': '720p',
'duration': 5,
'sound': True
}
)
result = response.json()
task_id = result['data']['task_id']
# 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)
# 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": "kling-3.0-turbo-text-to-video",
"prompt": "A girl sits on a train, looking out the window with a melancholic expression, cinematic lighting, realistic detail",
"aspect_ratio": "16:9",
"resolution": "720p",
"duration": 5,
"sound": true
}'
# 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"
| 参数 | 价格 | 原价 | 折扣 |
|---|
Flaq AI 上的 Kling 3.0 Turbo Text-to-Video API 为开发者和创意团队构建可扩展短视频工作流提供快速的 Kuaishou 视频生成能力。这项实惠的 Kling API 集成可将自然语言提示词转化为动态视频片段,并提供实用的运动控制、可选声音工作流和稳定的生产访问能力。它专为快速创意迭代、社交内容、营销视频和自动化视频生成而设计。
注意 请确保提示词符合 Kuaishou 与 Flaq AI 的安全要求。如果发生错误,请修改提示词或生成设置后重试。
在浏览器中探索多种 AI 创作工具,用于快速图像和视频工作流,然后通过 Flaq AI 可用于生产的模型 API 扩展成功创意。Flaq AI 为所有模型提供统一 API 层,让你的工作流更容易使用和扩展。