SparkDiffusion speeds up video generation
Peking University, Tsinghua and Alibaba Open-Source SparkDiffusion for Up to 265x Faster Wan Video Generation
This breakthrough dramatically improves video generation efficiency, making high-quality content creation more accessible. Developers and content creators can now experiment with open-source SparkDiffusion for faster prototyping, potentially transforming industries requiring rapid video production.
SparkDiffusion reduces 720P Wan2.1 14B video generation time from 4,769 seconds to 18 seconds on a single RTX 5090 GPU.
The model achieves 265x acceleration using 97% sparse attention, 3-step distillation, and FP8 technology.The research team from Peking University, Tsinghua University, and Alibaba has open-sourced both the code and weights.
Peking University, Tsinghua and Alibaba Open-Source SparkDiffusion for Up to 265x Faster Wan Video Generation
SparkDiffusion pairs 97% sparse attention, 3-step distillation and FP8 to cut a 720P Wan2.1 14B video from 4,769 to 18 seconds on one RTX 5090, a 265x speedup. Code and weights are open.
This report is categorized under AITOP's "Models" desk, focusing on China's AI industry and domestic foundation model ecosystem. Within our cross-regional analytical framework, it directly maps to AI developer toolchains, coding agents, and engineering workflows and US-China foundation model benchmarks and commercialization comparison. Key entities and technical topics under continuous tracking include SparkDiffusion, Wan2.1, video generation, RTX 5090.
Primary source verification: published directly by pandaily with first-party authority.
