Kling AI 1.6 - Global Howto

Kling AI is a revolutionary text-to-video generation model developed by Kuaishou that creates high-quality, cinema-grade videos up to two minutes long from text prompts.
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How to Use Kling AI 1.6 - Global

Go to the official Kling AI website: Visit klingai.co to access the Kling AI platform.
Download the Kuaiying app: Scan the QR code provided on the website to download the Kuaiying app, which is required to use Kling AI.
Register an account: Sign up for an account using a Chinese phone number. You may need to use an SMS website if you don't have a Chinese number.
Join the waitlist: Fill out the waitlist form with your name, email, and reason for wanting to use Kling AI.
Wait for confirmation: Check your email for confirmation and further instructions on accessing Kling AI.
Access Kling AI in the Kuaiying app: Once approved, open the Kuaiying app to start using Kling AI's text-to-video generation features.
Enter your text prompt: Type in a detailed description of the video you want to generate.
Adjust video parameters: Select relevant parameters such as video length, resolution, and aspect ratio according to your needs.
Generate the video: Click the generate button and wait for Kling AI to create your video based on the provided prompt and parameters.
Review and download: Once generation is complete, review your video and download it if satisfied with the result.

Kling AI 1.6 - Global FAQs

Kling AI is an advanced text-to-video generation model developed by Kuaishou Technology. It transforms text prompts into high-quality video content up to two minutes long, with features like 3D spatiotemporal modeling and concept combination.

Kling AI 1.6 - Global Monthly Traffic Trends

Kling AI 1.5 - Global experienced a 30.0% decline in traffic, dropping to 9.4M visits. This significant decline may be attributed to technical issues reported by users, including the inability to use paid credits and long processing times. Additionally, the lack of communication from Kling AI regarding these issues has likely affected user retention.

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