I’m building a video-content-generation AI focused on entertainment, and the end product must be able to output fully animated clips. Here’s the essence: a user feeds in a prompt—text, an outline, or even a short audio track—and the system automatically produces a cohesive animated video complete with visuals, motion, and synced audio. Key elements I need you to cover • Core model: whatever mix of diffusion, transformer, or GAN architecture you judge most suitable for high-quality, short-form animation. • Pipeline: prompt ingestion, scene layout, frame synthesis, up-scaling, and final video assembly with audio. • Controls: straightforward parameters for duration, frame rate, resolution, and style selection. • Deliverables: all source code (Python preferred), any trained weights, and a concise README that lets me reproduce results locally or on a cloud GPU instance. If you’ve previously worked on entertainment-focused video generation or animated avatars, that experience will help us move faster. I’m ready to exchange ideas on dataset choices and run a quick proof-of-concept before we proceed to a full build.