P-Video

P-Video is a video generation entry in our catalog from Pruna AI. Unlike chat or embedding endpoints, it is invoked as a generation job: a prompt (and, depending on the endpoint configuration, a reference image) goes in, and a short video clip comes out. Pruna AI's broader work centers on optimizing and accelerating generative models for inference, and P-Video is listed here as its video generation offering. Our database confirms only the model's name, creator, and model type. We do not currently track its output resolution, maximum clip length, frame rate, underlying architecture, or whether image-to-video conditioning is exposed, so those details should be verified against Pruna AI's own documentation before you commit to the model in a production pipeline. For video generation models generally, the specs that matter most are resolution, duration, frames per second, prompt adherence, temporal consistency across frames, and wall-clock generation latency — and those are the dimensions on which P-Video should be evaluated. In practice, video generation endpoints like P-Video are used for short-form social clips, concept and pre-visualization work, motion backgrounds, product and marketing b-roll, and rapid creative iteration where re-rendering a prompt is cheaper than reshooting. Because generation is billed per clip or per second of output rather than per token, cost modeling differs substantially from text models: throughput is measured in clips per minute, not tokens per second. Compare the current providers and billing units for P-Video in the pricing table on this page.