The domestic AIGC industrialization process has made a crucial leap. YW Group has officially announced a deep business collaboration with Shengshu Technology, a leading company in multimodal AI, marking the first systematic integration of a top content platform and a cutting-edge technology company in IP visual development. The core of this collaboration is to fully integrate Shengshu Technology's latest multimodal video generation large model, Vidu, into YW Group's "YW Manju Assistant" platform, providing a highly efficient and high-quality dynamic visual transformation capability for a vast number of online literature IPs.

"YW Manju Assistant," as a creative platform focused on IP visual development, has previously accumulated extensive experience in producing lightweight animation and strip comic series. After introducing the Vidu large model, the platform will have end-to-end generation capabilities from text to dynamic visuals, significantly improving the efficiency and expressiveness of manju production—whether it's character expressions, scene construction, or camera language and rhythm control, all can be intelligently generated and optimized by AI, greatly reducing the professional animation production threshold.

More notably, the collaboration goes beyond technological integration. Shengshu Technology has already established "Qingying Shengshu" through its joint venture with Qingdao Film Academy, pioneering the layout of AIGC film education and building a new talent training system that meets industry needs. This initiative aims to address the structural contradiction in current AIGC content production—having tools but lacking talent—and provide the industry with a new generation of creators who understand both film language and AI tools.

Thus, a complete AIGC film ecosystem covering "technological empowerment—content production—talent supply" has taken shape. YW provides a wealth of high-quality IPs and content operation experience, while Shengshu Technology offers the Vidu large model and engineering capabilities, and Qingying Shengshu ensures long-term talent reserves. Through the collaboration of the three parties, not only is the visual monetization of online literature IPs accelerated, but also a replicable path for AIGC industrialization is explored.

In 2026, as generative AI moves from "showcasing" to "implementation," this collaboration sends a clear signal: the real value of AIGC lies not in isolated technological breakthroughs, but in building a sustainable ecosystem that spans creativity, production, and education. When words truly come to life, the global visual expression of Chinese IPs may witness a new wave of growth.