Text to Image
Create AI images from text prompts
Kuaishou/kling-3.0-motion-control
kling-3.0-motion-control
Create character videos with Kling 3.0 Motion Control API by Kuaishou. Guide motion with an image, reference video, and prompt through Flaq AI's unified video API.
Reference to Video
API Examples
Submit Example
// 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-motion-control',
prompt: 'Animate the character in the reference image using the dance movements from the reference video',
images: ['https://example.com/character.jpg'],
videos: ['https://example.com/dance-reference.mp4'],
character_orientation: 'video',
resolution: '720p',
keep_original_sound: true
})
});
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, 10000));
}
Submit Example
# 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-motion-control',
'prompt': 'Animate the character in the reference image using the dance movements from the reference video',
'images': ['https://example.com/character.jpg'],
'videos': ['https://example.com/dance-reference.mp4'],
'character_orientation': 'video',
'resolution': '720p',
'keep_original_sound': True
}
)
result = response.json()
task_id = result['data']['task_id']
Polling Example
# 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)
Submit Example
# 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-motion-control",
"prompt": "Animate the character in the reference image using the dance movements from the reference video",
"images": ["https://example.com/character.jpg"],
"videos": ["https://example.com/dance-reference.mp4"],
"character_orientation": "video",
"resolution": "720p",
"keep_original_sound": true
}'
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"
Try the AI Video Generator now
Kling 3.0 Motion Control Pricing
| Parameters | Price | Original Price | Discount |
|---|
Related Models
kling-v3.0-std-text-to-videotext-to-videokling-v3.0-std-image-to-videoimage-to-videokling-v3.0-pro-text-to-videotext-to-videokling-v3.0-pro-image-to-videoimage-to-videokling-3.0-turbo-text-to-videotext-to-videokling-3.0-turbo-image-to-videoimage-to-videokling-video-o3-std-text-to-videotext-to-videokling-video-o3-std-image-to-videoimage-to-videokling-video-o3-std-reference-to-videoreference-to-videokling-video-o3-std-video-editvideo-editkling-video-o3-pro-text-to-videotext-to-videokling-video-o3-pro-image-to-videoimage-to-videokling-video-o3-pro-reference-to-videoreference-to-videokling-video-o3-pro-video-editvideo-editkling-v4.0-text-to-videotext-to-videokling-v4.0-image-to-videoimage-to-videokling-v4.0-reference-to-videoreference-to-videokling-v4.0-video-editvideo-editkling-v4.0-video-extendvideo-editkling-3.0-motion-controlreference-to-videokling-2.6-motion-controlreference-to-videoREADME
Kling 3.0 Motion Control API (Kuaishou Character Motion Transfer)
Kling 3.0 Motion Control API from Kuaishou delivers AI character motion transfer for developers and creative teams. This motion control API integration helps you drive a reference character image with motion from a reference video, guided by natural-language prompts. Built on Kuaishou's Kling 3.0 motion control pipeline, the model focuses on character-oriented animation workflows, while the API provides reliable integration with optional original-sound retention for production use on Flaq AI.
Key Features of Kling 3.0 Motion Control API
- Character Motion Transfer: Apply motion from a reference video to a character appearance defined by a reference image, enabling directed character animation through Kling 3.0 Motion Control API integration.
- Prompt-Guided Motion Direction: Combine required natural-language prompts with image and video references for clearer creative intent across character-driven video workflows.
- Character Orientation Control: Choose whether generated character facing follows the reference image or the reference video, giving practical control over orientation behavior in motion transfer jobs.
- Flexible Reference Video Windows: Use shorter reference clips when matching image orientation, or longer clips when matching video orientation—aligned to the orientation setting you select.
- HD Resolution Options: Generate motion-controlled video at supported HD output resolutions for social, marketing, and production delivery pipelines.
- Optional Original Sound Retention: Keep the reference video's original audio when needed, or omit it for silent delivery—flexible sound handling without a separate audio post step.
- Production-Ready Motion Control Access: Stable Flaq AI integration with per-source-video billing tied to output resolution for character animation and motion retargeting pipelines.
How to Use Kling 3.0 Motion Control API for Character Motion Transfer on Flaq AI
- Input: One reference image (JPEG/PNG), one reference video (MP4/MOV), and a natural-language prompt describing the desired character animation direction
- Output: Motion-controlled character video delivered via secure CDN URLs through Kling 3.0 Motion Control API integration
- Character Orientation: Match generated facing to the reference image or the reference video; reference video length limits follow the orientation choice
- Resolution: Supported HD output resolutions for production-friendly delivery
- Audio: Optional retention of the reference video's original sound
- Capabilities: Image-plus-video motion transfer, prompt-guided character animation, orientation-aware reference handling, HD output, and optional original-sound retention through Kling 3.0 Motion Control API integration. Output length follows the source reference video; aspect ratio is determined by input materials rather than a separate ratio setting.
Best Use Cases for Kling 3.0 Motion Control API Integration
- Character Performance Reuse: Reuse dance, gesture, or performance motion from existing footage on a new character image for social shorts and campaign cutdowns through Kling 3.0 Motion Control API integration.
- Social Media Character Content: Produce TikTok, Reels, and Shorts-ready character clips by transferring proven motion patterns onto brand or creator likenesses at scale.
- Marketing Avatar Animation: Drive product ambassadors, mascots, or spokesperson stills with reference performance videos for localized ads and promotional variants.
- Creative Iteration Pipelines: Test multiple character looks against the same motion reference for rapid A/B exploration without reshooting performance footage.
- Automated Character Workflows: Power production systems that need repeatable motion retargeting from a fixed video library onto changing character stills.
Note Please ensure your prompts and uploaded media comply with Kuaishou's content safety guidelines. If an error occurs, review restricted content, adjust inputs, and try again.
Kling 3.0 Motion Control vs Competitors: Comparative Analysis
-
Kling 3.0 Motion Control vs. Kling 2.6 Motion Control
Kling 2.6 Motion Control shares the same motion control parameter surface on Flaq AI at a lower price tier. Kling 3.0 Motion Control is the 3.0 generation endpoint for the same image-plus-video motion transfer workflow when you want the newer model line. -
Kling 3.0 Motion Control vs. Kling Image-to-Video
Kling Image-to-Video animates stills from prompts alone. Kling 3.0 Motion Control API requires a reference video so motion, timing, and performance cues come from real footage—better when you need faithful motion retargeting onto a character image. -
Kling 3.0 Motion Control vs. Runway Act-One / Motion Tools
Runway offers strong performance-driven creative tools in a studio-centric UI. Kling 3.0 Motion Control API focuses on programmatic image-and-video motion transfer with orientation controls and optional original-sound retention for developer pipelines. -
Kling 3.0 Motion Control vs. Pika Character Motion
Pika emphasizes stylized animation and approachable creative interfaces. Kling 3.0 Motion Control provides API-first access, HD resolution options, and production-oriented motion transfer for scalable character workflows. -
Kling 3.0 Motion Control vs. Luma Character Animation
Luma is known for fast generative video experiences. Kling 3.0 Motion Control API differentiates with explicit character orientation choices, reference-video-driven motion transfer, and predictable Flaq AI integration for production automation.
Use the Kling 3.0 Motion Control Model Directly in Powerful AI Tools
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.
Image to Image
Create AI images from images and text prompts
Text to Video
Create AI videos from text prompts
Image to Video
Animate images into AI videos
AI Media Creator
Create AI images and videos in one unified workspace
Reference to Video
Create consistent videos from reference media
AI Canvas
Build visual AI image and video workflows on an infinite canvas