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
[NeurIPS 2023] Structural Pruning for Diffusion Models
Die Hauptfunktionen von vainf/diff-pruning sind: Diffusion Acceleration, Diffusion Model Research, Generation.
Open-Source-Alternativen zu vainf/diff-pruning sind unter anderem: 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.