Kuaishou’s Kling AI Outshines OpenAI’s Sora with Longer, High-Definition Videos

China has produced another contender for supremacy in AI that seems to beat OpenAI’s recently released Sora text-video model. Kuaishou Technology Kling is capable of producing longer and higher-definition videos than Sora. Note that the company Kuaishou Technology is also behind a leading short video application in China.

KLING AI tool on website
Kuaishou’s Kling AI

Image Source: Kling 

Kuaishou Technology Kling’s Impressive Capabilities

Kling uses similar technology as Sora but goes a step further. Sora can create one-minute HD videos while Kling can create two-minute 1080p high-definition videos in 30fps. However, the most striking capability of Kling is to produce outstanding motion and visuals that resemble real physics.

Advanced 3D Modeling for Lifelike Results

The essence of Kling’s lifelike videos is based on the state-of-art 3D face and body reconstruction techniques powered by the company’s 3D VAE system of Kuaishou. This enables Kling to create videos with correct full body motions and lively limb motions from only an image. Variable resolution training also means that the AI model can generate videos in different aspect ratios.

Putting Kuaishou Technology Kling to the Test

Early demos and user-generated videos shared on social media platforms like Twitter showcase Kling’s impressive capabilities.  Some of the AI enthusiasts who were part of the invite-only testing of a Kuaishou’s Kuaiying app were stunned by the realism and details in Kling’s videos. Some even began claiming that Kling had surpassed Sora in some ways. 

The AI Video Wars Intensify

The competition between Kling AI and Sora highlights the increasing competitiveness of the AI video generation market, especially between the United States and China. As for OpenAI’s Sora, it is still not available to the public, while Kling has gained attention and positive reviews. While China is doubling down on developing superior generative AI models such as Kling, the AI video battles are expected to escalate even further.

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China’s Rapid AI Progress

Kling is only one of the many examples of the tremendous advancement of China in the sphere of AI. Another Chinese firm launched Vidu AI in the first half of this year as a text-to-video model, which can create 16 seconds of 1080P videos. In this regard, China is clearly preparing models like Kling and Vidu AI, which may surpass the European and American counterparts in the near future.
As the battle for AI supremacy continues, Kuaishou’s Kling has successfully claimed its stake in the text-to-video generation industry. However, it remains to be seen whether Kling’s capabilities will enable China to surpass the US and other nations in the AI warfare.

Conclusion:

Kling’s capabilities are undeniably strong, but the AI text to video competition is in its infancy. OpenAI and other groups will of course respond with better models. However, Kling heralds China’s entry to this avant-garde discipline. These AI video generators are gradually making their way into the market and the effect can be seen across industries for content creation. However, issues regarding possible abuse, prejudice, and privacy infringement cannot be dismissed. Sound governance will be important. The fight for leadership in the field of generative AI has started in earnest.

FAQs

Q1: How is Kling better than OpenAI’s Sora? 

A: Kling appears to outperform Sora in a few key ways – it can create longer 2-minute videos compared to Sora’s 1-minute limit, and early demos show Kling generating more realistic motion and physics simulation. 

Q2: What technology does Kling use? 

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A: Kling utilizes advanced 3D modeling including Kuaishou’s proprietary 3D VAE system to reconstruct realistic human faces, bodies, and movements from just a single photo. It is based on diffusion transformer architecture.

Q3: How can I try out Kling? 

A: Currently, Kling is available for testing by invite only on Kuaishou’s Kuaiying video app.

Q4: Are there any concerns around AI video generation? 

A: Yes, the ability to generate highly realistic synthetic videos raises ethical concerns around potential misuse, encoding of biases, privacy violations, and more that need governance.

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