Text to Image
Create AI images from text prompts
Kuaishou/kling-video-o3-pro-reference-to-video
kling-video-o3-pro-reference-to-video
Reference video generation by Kling O3 Pro API. Delivers superior subject consistency and stable performance at competitive pricing for demanding workflows. Built for free testing and stable API workflows.
Reference to Video
Related Kling Video O3 Pro Models
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: 'kling-video-o3-pro-reference-to-video',
prompt: 'Follow reference motion, consistent lighting',
video_url: 'https://example.com/source.mp4',
images: ['https://example.com/ref1.jpg'],
duration: 5
})
});
const { data } = await response.json();
const taskId = data.task_id;
// Use the @ (AT) reference feature in prompt through <<<...>>> placeholders.
// Placeholder numbering is 1-based for each media array:
// <<<image_1>>> = images[0], <<<image_2>>> = images[1], <<<video_1>>> = videos[0]
const mediaReferenceResponse = 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-video-o3-pro-reference-to-video',
prompt: 'Bring the character from <<<image_1>>> into the cinematic setting from <<<image_2>>> and reproduce the action shown in <<<video_1>>>',
images: [
'https://example.com/character-reference.jpg',
'https://example.com/cinematic-setting-reference.jpg'
],
videos: ['https://example.com/action-reference.mp4'],
aspect_ratio: '16:9',
duration: 5,
sound: false
})
});
const { data: mediaReferenceData } = await mediaReferenceResponse.json();
const mediaReferenceTaskId = mediaReferenceData.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
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-video-o3-pro-reference-to-video',
'prompt': 'Follow reference motion, consistent lighting',
'video_url': 'https://example.com/source.mp4',
'images': ['https://example.com/ref1.jpg'],
'duration': 5
}
)
task_id = response.json()['data']['task_id']
# Use the @ (AT) reference feature in prompt through <<<...>>> placeholders.
# Placeholder numbering is 1-based for each media array:
# <<<image_1>>> = images[0], <<<image_2>>> = images[1], <<<video_1>>> = videos[0]
media_reference_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-video-o3-pro-reference-to-video',
'prompt': 'Bring the character from <<<image_1>>> into the cinematic setting from <<<image_2>>> and reproduce the action shown in <<<video_1>>>',
'images': [
'https://example.com/character-reference.jpg',
'https://example.com/cinematic-setting-reference.jpg'
],
'videos': ['https://example.com/action-reference.mp4'],
'aspect_ratio': '16:9',
'duration': 5,
'sound': False
}
)
media_reference_task_id = media_reference_response.json()['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
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-video-o3-pro-reference-to-video",
"prompt": "Follow reference motion, consistent lighting",
"video_url": "https://example.com/source.mp4",
"images": ["https://example.com/ref1.jpg"],
"duration": 5
}'
# Use the @ (AT) reference feature in prompt through <<<...>>> placeholders.
# Placeholder numbering is 1-based for each media array:
# <<<image_1>>> = images[0], <<<image_2>>> = images[1], <<<video_1>>> = videos[0]
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-video-o3-pro-reference-to-video",
"prompt": "Bring the character from <<<image_1>>> into the cinematic setting from <<<image_2>>> and reproduce the action shown in <<<video_1>>>",
"images": [
"https://example.com/character-reference.jpg",
"https://example.com/cinematic-setting-reference.jpg"
],
"videos": ["https://example.com/action-reference.mp4"],
"aspect_ratio": "16:9",
"duration": 5,
"sound": false
}'
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 O3 Pro Reference to Video Pricing
| Parameters | Price | Original Price | Discount |
|---|
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Premium Kling Video O3 Pro Reference-to-Video API (Kuaishou's High-Fidelity MVL Reference Video Generation)
Kuaishou Kling Video O3 Pro Reference-to-Video API delivers premium, production-grade AI video generation for developers and creative teams. This high-fidelity reference-to-video API integration enables you to generate professional video clips guided by reference videos across 3–15 second durations with optional audio effects. Built on Kuaishou's Multimodal Visual Language (MVL) architecture, the Kling Video O3 Pro model delivers maximum quality and motion realism when using reference video inputs to guide generation for demanding commercial applications on Flaq AI.
Key Features of Kling Video O3 Pro Reference-to-Video API
- Premium Reference Video-Guided Generation: Generate high-fidelity video clips guided by reference video inputs using Kuaishou's MVL technology at the Pro tier—enabling precise control over motion style, camera behavior, and scene dynamics with superior quality for consistent, directed output.
- Enhanced Motion Fidelity: The Kling Video O3 Pro model produces smoother, more realistic motion dynamics with improved consistency when transferring motion patterns from reference videos—ideal for premium commercial applications.
- MVL-Powered Scene Reasoning: Reason about scene composition, spatial relationships, and motion patterns from reference videos in a unified pass for coherent, style-consistent, high-fidelity output.
- Flexible Duration Control: Generate reference-guided videos from 3 to 15 seconds with precise duration settings, providing full control over clip length for diverse content requirements.
- Optional Audio Effects Integration: Add synchronized sound effects to generated videos for immersive output directly through the API—no post-production audio work required.
- Premium API Pricing for Maximum Quality: Uses per-second billing at a premium tier for high-value commercial production.
- Flexible Aspect Ratio Support: API supports 16:9 landscape, 9:16 vertical, and 1:1 square formats, optimized for social media content and digital marketing campaigns.
How to Use Kling Video O3 Pro Reference-to-Video API for Premium Video Generation on Flaq AI
- Input: Reference video(s) plus natural-language prompts (describing desired scene content, modifications, and generation direction)
- Output: High-fidelity reference-guided videos (MP4 format) delivered via secure CDN URLs through Kling Video O3 Pro Reference-to-Video API integration
- Duration: 3 to 15 seconds, configurable per request
- Aspect Ratios: 3 supported formats - 16:9 (landscape), 9:16 (vertical/portrait), and 1:1 (square)
- Audio: Optional audio effects integration
- Capabilities: Premium MVL-powered reference-guided video generation, enhanced motion style transfer, advanced cinematography replication, and optional audio integration through Kling Video O3 Pro API.
Best Use Cases for Kling Video O3 Pro Reference-to-Video API Integration
- Premium Brand Video Production: Generate high-fidelity video content that maintains consistent motion style, camera behavior, and visual dynamics from reference brand videos for premium commercial campaigns.
- Cinematic Style Replication: Transfer sophisticated cinematographic styles, complex camera movements, and scene dynamics from reference footage into new high-fidelity video content.
- Social Media Premium Content Series: Produce standout, high-quality video series with consistent motion patterns and optional audio for Instagram Reels, TikTok, and YouTube Shorts at scale.
- Professional Creative Direction: Guide premium video generation with reference videos to achieve specific cinematographic styles and motion patterns for demanding creative and advertising workflows.
- High-Value Automated Pipelines: Power automated reference-guided video generation workflows with premium quality output, flexible duration controls, and optional audio effects for high-value production systems.
Note Please ensure your prompts comply with Kuaishou's content safety guidelines. If an error occurs, review your prompt for restricted content, adjust it, and try again.
Kling Video O3 Pro Reference-to-Video vs Competitors: Comparative Analysis
-
Kling Video O3 Pro vs. Kling Video O3 Standard Reference-to-Video Kling Video O3 Standard provides strong MVL-powered reference-guided generation at a lower price point. Kling Video O3 Pro delivers enhanced motion fidelity, superior detail rendering, and premium quality at higher pricing—making it the preferred choice for demanding commercial applications where maximum quality is essential.
-
Kling Video O3 Pro vs. Kling Video O3 Pro Image-to-Video Kling Video O3 Pro Image-to-Video animates static images into video clips. Kling Video O3 Pro Reference-to-Video uses existing video clips as motion and style guides—ideal for applications requiring precise control over motion patterns and camera behavior from reference footage with premium quality output.
-
Kling Video O3 Pro vs. Runway Gen-3 Reference Generation Runway Gen-3 offers strong creative controls and artistic flexibility. Kling Video O3 Pro Reference-to-Video API differentiates through enhanced motion fidelity, optional audio effects, flexible 3–15 second duration control, and MVL-powered motion reasoning—making it superior for premium commercial reference-guided generation.
-
Kling Video O3 Pro vs. Pika Reference-to-Video Pika excels at stylized animations and user-friendly interface. Kling Video O3 Pro provides programmatic API access, enhanced motion fidelity, extended duration up to 15 seconds, and optional audio effects—ideal for developers building premium reference-guided video pipelines.
-
Kling Video O3 Pro vs. Vidu Q3 Pro (Vidu) Vidu Q3 Pro excels at Smart Cuts multi-shot storytelling and flexible sound controls. Kling Video O3 Pro Reference-to-Video API differentiates through reference video-guided generation, enhanced MVL-powered motion transfer, and premium per-second billing—making it a strong choice for applications requiring precise motion style control at premium quality.
Use the Kling O3 Pro Reference to Video 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.
