How this analysis was created: This summary and feature list were written by an AI model that read the project's README and public documentation pages. Each feature links to the documentation it came from; stars, license and language come straight from the GitHub API. The model does not read the source code, and the analysis is refreshed when the project is re-analysed. Learn more on our About page.
Speed up Stable Diffusion with this one simple trick!
The main features of dbolya/tomesd are: Diffusion Acceleration, Diffusion Model Research, Generation.
Open-source alternatives to dbolya/tomesd include: vainf/diff-pruning — [NeurIPS 2023] Structural Pruning for Diffusion Models. 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.
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
