大家好，我是歸藏。 今天带来可灵 2.1 首尾帧模型的测试和使用教程，重点是教你解决首尾帧视频最难的两部分图片生 成和提示词生成， 尤其后面提示词价值很高，都能做产品了 建议收藏。 前几天可灵给超级创作者开了 2.1 模型的首尾帧视频生成的权限，抽时间试了一下。 发现这个模型对于 提示词理解和遵循 以及 图片转换的自然度 都搞得太好了，基本上在首尾帧这个 功能上已经到顶了。 知道有朋友习惯先质疑在质疑，先看结果。 所有分镜都是一次生成没有抽卡，就是素材拼接没有剪辑，只有简单变速。 是不是很好，而且这条视频我从头到尾基本只用了半小时就搞定了，等待视频生成的时候还能干别 的。 这时候很多朋友就要说了："就会骗我们，为啥我用的时候就得疯狂抽卡"。 我也反思了一下原因，在模型能力很强的情况下依然需要抽卡和没办法获得好素材的原因主要有两 个： 首先是没办法获得合适的图片 虽然可灵 2.1 首尾帧已经强到了完全无关的两张图片也可以顺滑的转换，比如下面这个视频。但是 肯定不像前后关联的图片带给观众的冲击强。 第二点就是有了图片之后不会写提示词 你获得了两张合适的图片，本能的意识到两者是有关联的，但是具体如何有美感和自然的从 ...

Core Viewpoint - The article discusses the rise of AI-generated videos, particularly focusing on the use of the Veo3 model, which significantly reduces production costs and allows for the creation of viral content with minimal human input [6][46]. Group 1: AI Video Creation - The introduction of Veo3 has drastically lowered the production costs for AI videos, making it an opportune time for creators to enter this space [6]. - Most viral AI videos are generated with minimal human creativity, relying heavily on AI for concept generation and execution [6][10]. - The process of creating these videos has become almost automated, allowing for the development of video agent products [6][10]. Group 2: Analyzing Viral Videos - The article outlines a method for analyzing successful videos using tools like NotebookLM, which can dissect the structure and content of viral videos [8][9]. - Key elements of successful videos include a "Contrast Engine" that creates humor through unexpected juxtapositions, an "Authentic Format" that mimics real-life recording styles, and leveraging "Shared Knowledge" to connect with the audience [11][12][13]. Group 3: Creative Expansion - The article provides a framework for expanding video ideas by utilizing AI to generate detailed scene descriptions and dialogue based on successful formats [17][21]. - Specific templates for generating prompts for both first-person Vlog and pseudo-interview styles are included, emphasizing the importance of detailed descriptions for effective content creation [29][32]. Group 4: Video Production Process - The article describes the streamlined process for generating videos using Gemini, highlighting the ease of inputting prompts and generating content [37][40]. - Post-production involves simple editing tasks, such as merging clips and adding subtitles, which can be done using common tools like剪映 [44][45]. Group 5: Future of AI Video Production - The article predicts that as AI video production technology continues to evolve, the potential for content creators will expand exponentially, leading to a surge in viral content creation [46].