📝 Distilling ODE Solvers of Diffusion Models Into Smaller Steps 🔭

"Proposes a straightforward distillation approach that optimizes the ODE solver rather than training the denoising network, resulting in a new ODE solver with improved speed-quality tradeoffs and preserving the sampling trajectory from the ODE solver." [gal30b+] 🤖 #CV

🔗 https://arxiv.org/abs/2309.16421v1 #arxiv

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