
AI Text to Image Generator
Create polished images from prompts with leading AI image models, flexible settings, and a fast browser-based workflow.
Animate images faster with Kling 3.0 Turbo Image-to-Video API, combining lower cost, quick turnaround, optional audio, and stable motion for scalable workflows.
// 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-image-to-video',
prompt: 'The character slowly turns her head and looks out the window, subtle camera movement, natural motion, cinematic lighting',
image_url: 'https://example.com/test-first-frame.png',
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-image-to-video',
'prompt': 'The character slowly turns her head and looks out the window, subtle camera movement, natural motion, cinematic lighting',
'image_url': 'https://example.com/test-first-frame.png',
'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-image-to-video",
"prompt": "The character slowly turns her head and looks out the window, subtle camera movement, natural motion, cinematic lighting",
"image_url": "https://example.com/test-first-frame.png",
"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"
| Parameters | Price | Original Price | Discount |
|---|
Kling 3.0 Turbo Image-to-Video API on Flaq AI provides fast Kuaishou video animation for developers and creative teams that need to transform still images into dynamic video clips. This affordable Kling API integration animates source visuals with prompt-guided motion, stable subject preservation, and production-friendly delivery. It is designed for social content, product motion, character animation, campaign assets, and scalable creative workflows.
Note Please ensure uploaded images and prompts comply with Kuaishou and Flaq AI safety requirements. If an error occurs, adjust the image, prompt, or generation settings and try again.
Explore several AI creation tools for quick image and video workflows in your browser, then scale successful ideas with Flaq AI's production-ready model APIs. Flaq AI provides a unified API layer for all models, making it easy to use and scale your workflows.

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