Advanced Kling AI Guide (The New Cinematic FREE AI Video Model)

The script introduces Clink, a new AI model from China that has gained global attention. It was initially available in China for a month before being released globally. The speaker shares their experience of trying various methods to access Clink before it became available to them. They highlight that Clink is currently free to use, with 66 free credits given daily to users, and there's no paid model at the moment. The user interface of Clink AI is easy to navigate, and users can sign up for free and log in. The platform also showcases user-generated content, allowing others to like and view these productions. The speaker emphasizes the platform's capabilities in generating both images and videos, and they plan to demonstrate how to use Clink for text-to-image generation.

The speaker discusses the process of text-to-image generation on Clink AI. They explain how to set the aspect ratio, choose the number of images to generate, and the cost in credits. They share their experience with different prompts, comparing the realism of Clink's output to that of Mid Journey. The speaker also explores the image-to-video mode, which allows users to convert a single image into a video, enhancing workflow efficiency. They mention the ability to like, dislike, favorite, download, and use images as references for further generation. The speaker also experiments with a reference image method, adjusting the reference strength to influence the final result, and notes the challenges in incorporating certain elements like cyberpunk aesthetics into the generated images.

The speaker transitions to discussing video generation capabilities in Clink AI, highlighting two models: text-to-video and image-to-video. They describe the 'Add and Frames' feature, which is即将推出 and similar to Luma, allowing users to create videos by providing the first and last frames. The speaker shares their Atomic prompt structure adapted for video generation, emphasizing the importance of camera movement. They provide a detailed walkthrough of creating a text-to-video prompt, adjusting settings for creativity and relevance, choosing modes, and selecting aspect ratios. They also discuss the option to add camera movement and negative prompts to refine the output. The speaker concludes by generating a video based on their prompt and shares their first impressions of the result.

The speaker continues to experiment with video generation, focusing on fine-tuning the prompts and settings. They show an example of an image-to-video conversion and discuss the quality of the result. The speaker generates another video with a more specific prompt, adjusting the relevance setting to improve the output. They also try generating a video without a prompt, adjusting the creativity and relevance settings to see the impact on the final video. The speaker compares Clink's performance to other AI video tools like Luma and Runway Genry, acknowledging Clink's room for improvement but also its potential. They express excitement about upcoming workflow improvements, such as an upscaler and video editor within Clink.

The speaker concludes the script by reflecting on Clink AI's potential in the field of AI video generation, positioning it alongside Runway Genry as an exciting tool. They mention that people are already using Clink to create short films and invite viewers to share their thoughts and comments. The speaker also encourages viewers to show support with a thumbs up and to join their community by subscribing for more tutorials. They sign off, promising more content in the future.