I Made Vox-Style Motion Graphics Using Only Claude Code & Omni
Creating a Vox Style Video with AI
Introduction to the Project
- The video introduces HMS Victory, a historic ship that has been in commission for 260 years, and outlines the goal of creating a Vox style video using AI tools like GPT Image 2 and Google Omni.
Defining Vox Style Video
- The creator emphasizes the importance of defining what a Vox style video is by gathering information from various YouTube videos about Vox's editing style.
- A methodical approach was taken by compiling around ten relevant videos into an LM notebook for analysis, which proved effective for research.
Creating Prompts and Workflow
- After analyzing the gathered data, comprehensive prompts were created for both style and animation to guide the video production process.
- The creator mentions having developed a complete video production pipeline that includes skills and prompts available for free download.
Step-by-Step Creation Process
- The workflow allows users to create videos in one shot but will be demonstrated step-by-step for better understanding and potential customization.
- The first task involves generating a script about HMS Victory, broken down into three segments of ten seconds each.
Script Refinement
- Initial scripts are reviewed; adjustments are made to enhance punchiness and brevity while maintaining engagement with phrases like "please" when interacting with AI.
Image Generation Tools
- OpenAI's GPT Image 2 is used as the image model alongside Google's Omni as the video model. This setup simplifies API management through Kai AI.
Generating First Scene
- Tips are provided regarding tool efficiency; alternatives like Codeex or Cursor may yield faster results compared to Claude due to speed considerations.
Reviewing Generated Content
- Once images are generated, they should not contain overlays since text will be added later. Changes can be requested at this stage before moving on to video creation.
Planning Subsequent Videos
- To create subsequent scenes, AI analyzes the last frame of the previous video using ffmpeg, ensuring continuity in prompts based on visual context.
Finalizing Video Compilation
- After generating all scenes, they are stitched together into one cohesive final product using ffmpeg. This automation streamlines content creation significantly.
Conclusion & Resources
- The entire process demonstrates how efficiently one can produce engaging content with minimal cost. Additional resources related to AI applications in business are offered through links provided in the description.