Welcome to the magic world, I am the product experience officer, JING. Let me introduce you to a consumer grade hyper realistic 3D virtual human AIGC video generation tool. In Youyan, you only need to select a template and input text to quickly generate high-quality virtual human video content. Meet the video production needs of enterprise wide brand marketing, internal management, and personal IP creation. With the rise of video platforms such as Tiktok and Kwai, the demand for video content shooting and production has become more and more frequent compared with the previous forms of graphic marketing. As an important carrier for enterprises and individuals to accumulate brand value, video content is applied in multiple scenarios such as enterprise brand marketing, product release, company dynamic promotion, personal IP creation, and private domain traffic. The current video editing tools such as cropping and PR can only assist in post production video editing and cannot save the process of live action shooting and production. Moreover, once the video needs to be optimized for details, it needs to be re shot and produced, resulting in a longer rework cycle. It cannot effectively assist users in efficiently producing video content. Virtual humans and virtual human videos can perfectly solve the brand marketing demands of enterprises or individuals, as well as the pain points of video production. On the one hand, virtual humans serve as a new brand carrier after corporate logos, VI materials, and celebrity endorsers. It can present the corporate image in a personalized and three-dimensional manner, as well as represent the company with attitude and warmth to speak out and convey user value. On the other hand, creating virtual human video content based on Youyan can save expensive personnel, venues, equipment, and complex post production work. The entire video production process is fully digitized, making it convenient for users to quickly change video content; With the self-developed AIGC capability of Mofa, we have truly achieved low threshold, high efficiency, and high-quality video generation.