Core Viewpoint - The launch of Vidu Q1's reference generation feature by Shengshu Technology represents a significant transformation in video content production, streamlining the traditional process and redefining AI-native storytelling [1][2]. Group 1: Traditional vs. AI Video Production - Traditional video production involves multiple steps including scripting, character setting, storyboarding, filming, post-production effects, editing, and final output, which can be time-consuming and requires specialized skills [1]. - The AI video production process simplifies this to scripting, image generation, video creation, editing, and final output, while Vidu Q1's reference generation feature further reduces this to just reference image input, video generation, and editing [1][2]. Group 2: Advantages of Vidu Q1's Reference Generation - The core advantage of the reference generation feature is the elimination of the storyboard phase, allowing creators to generate videos directly from reference images without the need for extensive professional skills [2]. - Vidu Q1 allows for the integration of multiple reference elements, such as characters, props, and scenes, into a single video, enhancing the efficiency and flexibility of video production [2][3]. Group 3: Flexibility and Reusability - Creators can utilize the reference generation feature to mix and match various elements, leading to numerous combinations and unique video outputs, thus increasing the reusability of materials [3]. - The feature significantly improves consistency for projects requiring high subject coherence, such as e-commerce and advertising, by supporting up to seven consistent subjects simultaneously [3].