[NeurIPS 2023] Structural Pruning for Diffusion Models
The main features of vainf/diff-pruning are: Diffusion Acceleration, Diffusion Model Research, Generation.
Open-source alternatives to vainf/diff-pruning include: dbolya/tomesd — Speed up Stable Diffusion with this one simple trick! baofff/extended-analytic-dpm — Official implementation for Estimating the Optimal Covariance with Imperfect Mean in Diffusion Probabilistic Models… andyshih12/paradigms — PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight. alexmaols/elucd — Elucidating The Design Space of Classifier-Guided Diffusion Generation. arpitbansal297/cold-diffusion-models — Official implementation of Cold-Diffusion for different transformations in pytorch. anima-lab/maskdit — Code for Fast Training of Diffusion Models with Masked Transformers.
Speed up Stable Diffusion with this one simple trick!
Code for Fast Training of Diffusion Models with Masked Transformers
Elucidating The Design Space of Classifier-Guided Diffusion Generation
PyTorch implementation for "Parallel Sampling of Diffusion Models", NeurIPS 2023 Spotlight