Pyramid Flow is a video-generation model built to create short, dynamic clips from text prompts or reference images. It specializes in producing visually compelling videos up to about 10 seconds at 768p and 24 FPS, making it well suited for social media reels, trailers, ads, educational snippets, and quick product demos. Users can supply a text prompt or an image as the starting point and receive a polished short video that emphasizes smooth motion and coherent frame-to-frame transitions. The model’s workflow uses progressive multi-resolution refinement and frame-by-frame generation so most computation is concentrated in the final high-resolution pass. This delivers high-quality output while reducing unnecessary compute early on, which helps keep costs down. Pyramid Flow is trained on open datasets and supports both text-to-video and image-to-video workflows, giving creators flexible input options for storytelling, prototyping, or marketing content. Practical benefits include fast iteration on short concepts, visually consistent motion across frames, and strong results for dynamic scenes and animations. Typical use cases are creating short commercials and trailers, animated educational segments, social media content, and marketing snippets that need quick turnaround. Limitations to consider: the model is optimized for short videos (commonly 10–30 seconds), may struggle with long-form narratives or very abstract concepts, and offers limited fine-grained control over precise camera angles or lighting. High-quality generation still requires reasonable compute resources during the final rendering stage. Overall, Pyramid Flow is a practical solution for teams and creators who need efficient, high-quality short video generation from text or images without complex manual animation workflows.