The new Mercury 2 AI model uses diffusion reasoning to generate 1,000 tokens per second; it runs about 5x faster than Haiku, speed limits are ...

ABSTRACT: This paper presents and analyzes a Discrete Duality Finite Volume (DDFV) method to solve 2D diffusion problems under prescribed Robin boundary conditions. The derivation of a symmetric ...

A few years ago, a new kind of AI called a diffusion model appeared. Today, it powers tools like Stable Diffusion and Runway Gen-2, turning text prompts into high-quality images and even short videos.

Abstract: In recent years, the ascendance of diffusion modeling as a state-of-the-art generative modeling approach has spurred significant interest in their use as priors in Bayesian inverse problems.

I'm trying to run diffusion pipe on runpod machine, i have problem with flash attn , it wont work with the pro 6000 gpu. i tried to install 2.8.1 flash attn with cuda 12.8 and torch 2.8.0 but it work ...

Abstract: Diffusion models can generate a variety of high-quality images by modeling complex data distributions. Trained diffusion models can also be very effective image priors for solving inverse ...

We propose a new method called Decoupled Annealing Posterior Sampling (DAPS) that relies on a novel noise annealing process to solve posterior sampling with diffusion prior. Specifically, we decouple ...

Bayesian statistics remain popular for addressing inverse problems, whereby quantities of interest are determined from their noisy and indirect observations. Bayes’ theorem forms the foundation of ...

Stable Diffusion 3.5, released on October 22, claims improved prompt adherence and diverse outputs with three customizable models for various uses. Stability AI claims this update enhances prompt ...