A parallel-gradient ODE solver for diffusion models achieves better image quality at low step counts by learning how to combine multiple intermediate denoising evaluations per step.
Asyncdiff: Parallelizing diffusion models by asynchronous denoising
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Distilling Parallel Gradients for Fast ODE Solvers of Diffusion Models
A parallel-gradient ODE solver for diffusion models achieves better image quality at low step counts by learning how to combine multiple intermediate denoising evaluations per step.