AI RESEARCH
FastLightGen: Fast and Light Video Generation with Fewer Steps and Parameters
arXiv CS.CV
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ArXi:2603.01685v2 Announce Type: replace The recent advent of powerful video generation models, such as Hunyuan, WanX, Veo3, and Kling, has inaugurated a new era in the field. However, the practical deployment of these models is severely impeded by their substantial computational overhead, which stems from enormous parameter counts and the iterative, multi-step sampling process required during inference.