In my previous article, I wrote about how simply changing the model in AI image generation can significantly alter the art style and texture. Even when using the same prompt, just changing the model ...

Abstract: Generative models such as diffusion models, excel at capturing high-dimensional distributions with diverse input modalities, e.g. robot trajectories, but are less effective at multistep ...

Abstract: In modern process industries, data-driven models are important tools for real-time monitoring when key performance indicators are difficult to measure directly. While accurate predictions ...

Zyphra has released 'ZAYA1-8B-Diffusion-Preview,' an early preview of its research findings on diffusion language models. Zyphra is a company working on AI development using AMD's GPU infrastructure, ...

Diffusion-based generative models have reformed generative AI, and have enabled new capabilities in the science domain, for example, generating 3D structures of molecules. Due to the intrinsic problem ...

diff-sampler is an open-source toolbox designed for fast sampling of diffusion-based generative models. It enables a fair comparison among existing approaches and helps researchers develp better ...

The multi-step sampling mechanism, a key feature of visual diffusion models, has significant potential to replicate the success of OpenAI's Strawberry in enhancing performance by increasing the ...