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const main = async () => {
const response = await fetch('https://api.ai.cc/v2/generate/video/kling/generation', {
method: 'POST',
headers: {
Authorization: 'Bearer ',
'Content-Type': 'application/json',
},
body: JSON.stringify({
model: 'klingai/v2.1-master-image-to-video',
prompt: 'Mona Lisa puts on glasses with her hands.',
image_url: 'https://s2-111386.kwimgs.com/bs2/mmu-aiplatform-temp/kling/20240620/1.jpeg',
duration: '5',
}),
}).then((res) => res.json());
console.log('Generation:', response);
};
main()
import requests
def main():
url = "https://api.ai.cc/v2/generate/video/kling/generation"
payload = {
"model": "klingai/v2.1-master-image-to-video",
"prompt": "Mona Lisa puts on glasses with her hands.",
"image_url": "https://s2-111386.kwimgs.com/bs2/mmu-aiplatform-temp/kling/20240620/1.jpeg",
"duration": "5",
}
headers = {"Authorization": "Bearer ", "Content-Type": "application/json"}
response = requests.post(url, json=payload, headers=headers)
print("Generation:", response.json())
if __name__ == "__main__":
main()
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Product Detail
Kling 2.1: Advanced AI Video Generation
Kuaishou’s Kling 2.1 is an advanced AI video-generation model designed to transform text or image prompts into high-definition, motion-rich video clips. Building upon its 2.0 predecessor, Kling 2.1 introduces sharper physics simulations, quicker rendering speeds, and a flexible system of tiered quality modes that allow users to balance cost and fidelity seamlessly.
Technical Specifications
Performance Benchmarks
Kling 2.1 is meticulously tuned for realistic motion, character consistency, and precise prompt adherence.
- ✨ Output Resolution: 720p (Standard) or 1080p (Pro/Master).
- ✨ Clip Duration: 5s or 10s natively; longer sequences achievable via stitching.
- ✨ Generation Speed: Approximately 5s for a 1080p clip on cloud GPUs; even faster in Standard mode.
- ✨ Physics Module: Utilizes 3D spatio-temporal joint attention for exceptionally smoother object trajectories.
- ✨ Benchmark Rank: Currently #2 on the Artificial Analysis ELO leaderboard (1,332), positioned right behind Seedance-1.
API Pricing:
- ➡️ $0.294 per second
Performance Metrics
Kling 2.1 notably tied Google’s Veo 3 for the #1 slot on the June 2025 Generative Video Benchmark, achieving a composite score of 93.5/100. In 4,800 blind A/B votes, 61% of users preferred its motion realism and prompt adherence. Its 1080p “HQ” tier is remarkably cost-effective, priced at roughly 0.4¢ per frame—approximately one-third of Veo’s price—with only minor blur in very crowded scenes noted as its main caveat.
Watch Kling 2.1 in Action
Key Capabilities
Kling 2.1 delivers precise and high-quality outputs essential for diverse creative and commercial video workflows.
- ✅ Hyper-Realistic Motion: Enhanced 3D physics engine ensures fluid character movement and dynamic camera operations.
- ✅ Multi-Image Referencing: Upload multiple reference frames to maintain consistent style and subject identity across scenes.
- ✅ Motion Brush & Camera Tools: Use text commands (e.g., “pan-down”, “dolly-zoom”) or intuitive brush strokes to precisely dictate object paths and shot types.
- ✅ Consistent Characters: Benefit from improved facial tracking and body-pose coherence, even during complex stunts.
- ✅ Flexible Inputs: Supports both text-to-video (T2V) and image-to-video (I2V) pipelines across all quality tiers.
- ✅ Cost Control: Easily switch between Standard, Pro, and Master modes without altering prompts, optimizing quality versus expenditure.
- ✅ Sound Layer (beta): Latest release notes indicate automatic sound-effects and basic lip-sync; external audio integration is still recommended for full control.
Optimal Use Cases
- 🎯 Short-Form Content: Ideal for TikTok, YouTube Shorts, and Instagram Reels needing fast 1080p visuals.
- 🎯 Marketing & Ads: Perfect for product teasers, motion posters, and branded clips with tight budgets.
- 🎯 Storyboarding & Pre-visualization: Enables rapid creation of concept videos showcasing camera moves and character actions.
- 🎯 Social Campaigns: Facilitates quick turnaround meme or trend videos where cost per clip is a critical factor.
- 🎯 Educational Explainers: Generate motion graphics or illustrative clips directly from still diagrams for learning content.
Code Samples for Integration
Text-to-Video Generation
<snippet data-name="kling.create-image-to-video-generation" data-model="klingai/v2.1-master-image-to-video"></snippet>Image-to-Video Generation
<snippet data-name="kling.create-text-to-video-generation" data-model="klingai/v2.1-master-text-to-video"></snippet>Comparison with Other Leading Models
- Vs. Google Veo 3: Kling 2.1 is ranked higher on the Artificial Analysis benchmark (#2 vs #3). Users frequently note that Kling 2.1 delivers more fluid motion and sharper physics. In contrast, Google Veo 3 excels at native 4K resolution and offers integrated audio capabilities.
- Vs. Hailuo 02: Kling 2.1 provides comparable 1080p quality with a lower average generation time (approx. 30s vs. 30-300s) and includes cost-saving tiered quality modes. However, Hailuo 02 is known for richer cinematic lighting and a broader director-control toolkit.
API Integration
Kling 2.1 is accessible via AI/ML API. Comprehensive documentation is available for:
Frequently Asked Questions (FAQ)
Q1: What is Kling 2.1 and what are its key advancements in video generation?
Kling 2.1 is Kuaishou's advanced video generation model that represents significant improvements in temporal coherence, realistic motion physics, and extended video duration capabilities. Key advancements include better handling of complex character interactions, improved facial expression consistency, more natural object movements, and enhanced understanding of cause-and-effect relationships in dynamic scenes.
Q2: What types of video content does Kling 2.1 generate most effectively?
Kling 2.1 excels at generating: realistic human interactions with natural gestures and expressions, dynamic action sequences with proper physics, environmental scenes with believable weather and lighting changes, product demonstrations with smooth operation, educational content with clear visual explanations, and creative storytelling with consistent character movements. It particularly shines in scenarios requiring human-like motion and emotional expression.
Q3: How does Kling 2.1 achieve superior temporal consistency compared to previous versions?
Kling 2.1 achieves temporal consistency through: advanced frame interpolation algorithms, persistent object tracking across sequences, improved motion trajectory modeling, coherent lighting and shadow propagation, and enhanced understanding of physical dynamics. The model maintains character features, object properties, and environmental conditions consistently throughout generated videos, minimizing flickering or unnatural transitions.
Q4: What are the practical applications for Kling 2.1's video generation capabilities?
Practical applications include: social media content creation, e-commerce product videos, educational and training materials, entertainment and short film production, marketing and advertising content, virtual influencer animation, and personalized video messaging. Its ability to generate human-centric content makes it valuable for applications requiring authentic-looking character interactions and expressions.
Q5: What input specifications yield the best results with Kling 2.1?
Best results come from: clear descriptions of character actions and emotions, specific camera movement instructions, appropriate duration specifications for the content type, detailed environmental context, and style indicators matching the desired output. Example: 'A woman happily demonstrating a kitchen gadget, clear facial expressions showing satisfaction, smooth hand movements showing product use, well-lit kitchen environment, 10-second duration, realistic style with warm lighting.'
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