Core Insights - The article discusses the significant upgrades in LiblibAI 2.0, transforming it from a model-finding website to a comprehensive AIGC (AI-Generated Content) platform, enhancing user experience and functionality [11][36]. Group 1: Platform Upgrades - LiblibAI 2.0 introduces multiple models and video effects, moving beyond simple interface changes to a more integrated creative workflow [3][12]. - The platform now allows users to create content without switching between multiple websites, streamlining the creative process [11][12]. - The interface has evolved to resemble a combination of ChatGPT and Canva, making it more user-friendly [12]. Group 2: Model Integration - The platform retains its core strength by integrating popular models such as Qwen-Image, Seedream 4.0, and the latest Midjourney V7 model, which was only recently released [15][16]. - LiblibAI 2.0 has also incorporated various mainstream video models, ensuring a comprehensive offering for users [17][18]. Group 3: User Experience - The new feature of adding special effects to videos has been highlighted as a standout capability, allowing for creative transformations [19][21]. - Users have reported mixed experiences, with some noting issues like page lag and limited editing capabilities for generated content [28][38]. - The platform's ability to visualize model selection through a global image style library simplifies the process for new users [33]. Group 4: Company Background - LiblibAI has a history of rapid growth, having completed four rounds of financing in one year, setting a record in the domestic AI application sector [39]. - The founder, Chen Mian, has a strong background in commercializing products, previously working with popular applications like Jianying and CapCut [42][43]. - The company is transitioning from a model-sharing community to a comprehensive AI toolkit for creators, which poses challenges in maintaining user trust and engagement [45].