Open-Sora lowers the bar for professional video generation to the level of consumer-grade hardware through multiple technological innovations. Core breakthroughs include: a memory optimization algorithm (-offload option) that enables 24GB video memory cards to handle 256p video; multi-GPU parallel technology that keeps 768p generation time at 276 seconds; and, especially, the development of a flash-attention acceleration component, which can be manually compiled to further increase 30% inference speed. .
The measured data show that the system is inNVIDIA A100The resource footprint on the top is outstanding: 4-card configuration at 256p resolution takes only 34 seconds and 44.3GB of video memory.The project documentation also provides detailedConda Environment Configuration Guideand dependency management solutions to ensure that everyone from researchers to individual developers can run this advanced video generation system stably in their local environment.
This answer comes from the articleOpen Sora: An Open Source Video Generation Tool for Optimizing Face ConsistencyThe
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