Kling recently announced that its latest version of KLING 1.6 officially launched the first batch of AI special effects: FuzzyFuzzy, MochiMochi and BoomBoom. These three interesting special effects have now been logged on to the web (WEB) and mobile applications (APP). Users only need to upload a picture to witness the "magic" of AI and convert static images into vivid and interesting dynamic videos.
These three special effects have their own characteristics to meet different creative needs. FuzzyFuzzy quickly became popular with its ability to "turn pictures into plush toys with one click". X user @seiiiiiiiiiiru commented: "No complicated prompts, you can turn any picture into a cute ぬいぐぐみ (plus toy), it's so convenient!"
MochiMochi brings a soft Q-bomb visual experience, while BoomBoom attracts the eye with dynamic effects full of energy. These special effects are not only simple to operate, but also provide users with rich creative possibilities. As Keling's core technical support, KLING1.6 provides a solid foundation for these special effects with its powerful image-to-video generation capabilities.
From daily photos to artistic creation, users can create unique video content through these special effects in just a few seconds. At present, these three special effects have been fully opened, and users can experience them at any time through klingai.com or Keling APP.
These special effects have been launched simultaneously in domestic and foreign versions. They are also named: FuzzyFuzzy, MochiMochi and BoomBoom. The Chinese name vividly describes the functional characteristics of each special effects. It looks like Keling AI is enhancing its visual creative toolset to compete with platforms such as Pika in the field of AI visual effects.
Keling team revealed that this is just the first step in exploring AI special effects, and more exciting features will be launched in the future. Whether you're a social media enthusiast or a creative content maker, this AI carnival ignited by FuzzyFuzzy, MochiMochi and BoomBoom is worth a try.