Today we are introducing Stable Diffusion 3.5. This open release includes multiple model variants, including Stable Diffusion 3.5 Large and Stable Diffusion 3.5 Large Turbo, and as of October 29th, Stable Diffusion 3.5 Medium.
Explore diffusion with interactive simulations, adjusting variables like concentration and temperature to observe their effects on the process.
Explore diffusion with interactive simulations, adjusting variables like concentration and temperature to observe their effects on the process.
Explore diffusion with interactive simulations, adjusting variables like concentration and temperature to observe their effects on the process.
Fast Light estimation under 30 second with DiffusionLight-Turbo (⭐ 46)
We introduce a novel approach for parameter generation, named neural network parameter diffusion (p-diff), which employs a standard latent diffusion model to synthesize a new set of parameters (⭐ 886)
Look up diffusion in Wiktionary, the free dictionary. Diffusion is a time-dependent random process causing a spread in space. Diffusion may also refer
Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed. (⭐ 13529)
Gemini Diffusion is our state-of-the-art research model exploring what diffusion means for language – and text generation.
[CVPR 2024] Confronting Ambiguity in 6D Object Pose Estimation via Score-Based Diffusion on SE(3) (⭐ 42)
Diffusion Illusions: Hiding Images in Plain Sight (⭐ 252)
Wind speed downscaling via Diffusion Models, from ERA5 to CERRA in the mediterranean region (⭐ 30)
Release for Improved Denoising Diffusion Probabilistic Models (⭐ 3799)
In image processing and computer vision, anisotropic diffusion, also called Perona–Malik diffusion, is a technique aiming at reducing image noise without
Ambipolar diffusion is diffusion of positive and negative particles with opposite electrical charge (such as electrons and positive ions) due to their
Stable Diffusion with Core ML on Apple Silicon (⭐ 17810)
Diffusion-weighted magnetic resonance imaging (DWI or DW-MRI) is the use of specific MRI sequences as well as software that generates images from the
The convection–diffusion equation is a parabolic partial differential equation that combines the diffusion and convection (advection) equations. It describes
Jump diffusion is a stochastic process that involves jumps and diffusion. It is a type of Lévy process. It has important applications in magnetic reconnection
Fick's laws of diffusion describe diffusion and were first posited by Adolf Fick in 1855 on the basis of largely experimental results. They can be used