Magic 1-For-1 Project Profile
Magic 1-For-1 is an open source efficient video generation model jointly developed by Peking University, Hedra Inc. and Nvidia, with the core goal of realizing theFast text-to-video generation, and significantly optimizes memory usage and inference efficiency. With an innovative two-stage task decomposition (text → image → video), this project is able to realize in a single-GPU environment theGenerate one-minute video clips in one minuteThe high-performance performance of the
List of core functions
- Two-stage generation architecture:Convert text to still images, then expand images to motion video
- Resource optimization techniques:Specially designed memory management mechanism to lower the hardware threshold
- Industrialized grade reasoning speed:5-8 times faster than traditional video generation models
- Complete Open Source Program:Provides pre-training weights, environment configuration guides and test scripts
- Multimodal support:Integration of HunyuanVideo, LLaVA and other mainstream components
technological breakthrough
By splitting traditional end-to-end video generation into two independently optimizable subtasks, it both reduces training complexity and enables knowledge migration for model distillation. Of particular note is its4-Step Quantitative Reasoning Technique(as seen in the test_ti2v.yaml configuration), which can further compress the computation while maintaining quality.
This answer comes from the articleMagic 1-For-1: efficient generation of video open source project that claims to generate a minute of video in one minuteThe
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