单卡2秒生成一个视频！清华联手生数开源TurboDiffusion，视频DeepSeek时刻来了

Core Viewpoint - The article discusses the introduction of TurboDiffusion, an open-source framework developed by Tsinghua University's TSAIL lab and Shenshu Technology, which significantly accelerates video generation, achieving speeds up to 200 times faster while maintaining high quality [2][3][39]. Group 1: Speed and Efficiency - TurboDiffusion allows for the generation of a 5-second video at 480P resolution in just 1.9 seconds on a single RTX 5090 GPU, compared to the original time of approximately 184 seconds [3][13]. - For a 720P video, the TurboDiffusion framework can generate content in 24 seconds, a substantial improvement over previous models [12]. - The framework's enhancements enable real-time video generation, reducing the generation delay from 900 seconds to just 8 seconds for high-quality 1080P videos [16][39]. Group 2: Technical Innovations - TurboDiffusion incorporates four key technologies to optimize video generation: SageAttention, Sparse-Linear Attention (SLA), rCM step distillation, and W8A8 quantization [22][24][32]. - SageAttention2++ reduces the computational load of attention mechanisms, achieving a speed increase of 3-5 times while halving memory usage [25][27]. - SLA focuses on important pixels and maintains linear complexity, allowing for additional speed improvements when combined with SageAttention [28][29]. Group 3: Industry Impact - The advancements made by TurboDiffusion are expected to lower cloud inference costs significantly, enabling service to 100 times more users with the same computational power [42]. - The technology is compatible with domestic AI chip architectures, promoting self-sufficiency in China's AI infrastructure [42]. - The framework opens up new possibilities for real-time video editing, interactive video generation, and automated short film production, potentially leading to innovative product forms in the AIGC sector [42].