AI 爆款视频制作复盘：全网2500万曝光、Cursor+Seedance，我如何做的？

Core Viewpoint - The article discusses the successful creation of a viral AI-generated video using Seedance 2.0, highlighting the importance of scarcity in content creation and the iterative process involved in developing engaging narratives [11][24][89]. Group 1: Video Creation Process - The video titled "Stranger Things: The Final Battle" achieved over 25 million views globally, with significant engagement from various international audiences [5][7][93]. - The creator utilized a methodical approach, focusing on scriptwriting, iterative testing, and leveraging AI tools to enhance the video quality [68][89]. - The initial script was developed by analyzing audience sentiments and expectations, particularly addressing the dissatisfaction with the original show's ending [28][31]. Group 2: Scarcity and Audience Engagement - The concept of scarcity was identified as a critical factor for the video's success, with multiple dimensions of scarcity being leveraged simultaneously [24][25]. - The timing of the video release was crucial, as it coincided with the availability of Seedance 2.0 for creators in China, providing a competitive edge [25]. - The quality of AI-generated content reached a tipping point, surprising many viewers and creating a sense of urgency and excitement around the video [26]. Group 3: Script and Narrative Design - The scriptwriting process accounted for 80% of the creator's effort, emphasizing the need for a well-structured narrative that resonates with audience expectations [31][89]. - The narrative was designed to include multiple twists and turns, ensuring high engagement and retention rates among viewers [44][54]. - Each scene was crafted to maintain a high information density, with specific attention to the first few seconds to capture viewer interest [46][44]. Group 4: Technical Execution - The use of reference images for character and scene design was essential for maintaining visual consistency and accuracy in the AI-generated content [70][76]. - The creator employed a systematic approach to scene generation, focusing on short segments to facilitate quick iterations and adjustments based on AI outputs [78][80]. - The final video was a composite of multiple AI-generated clips, allowing for the selection of the best elements to create a cohesive final product [82][84].