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FastVideo

Accelerates video generation with a unified framework for inference, finetuning, LoRA, distillation, sparse attention, and distributed execution for research and demos.

Introduction

Video generation is bottlenecked by latency, memory, and training cost as much as imagination. FastVideo focuses on making inference and post-training fast enough for iteration.

What Sets It Apart

It combines finetuning, LoRA, preprocessing, distillation, sparse attention, sequence parallelism, and multiple attention backends in one stack. Speed-oriented engineering around open video DiTs helps teams move from single-GPU demos to larger experiments.

Who Should Use It

Great fit if you research or deploy open video-generation models and need faster inference plus post-training control. Look elsewhere if you want a simple creative UI.

Information

  • Websitegithub.com
  • OrganizationsHao AI Lab
  • AuthorsThe FastVideo Team, hao-ai-lab
  • Published date2024/04/24

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