Diffusion models

Jul 10, 2024
Understanding Diffusion Models: An Essential Guide for AEC Professionals
Generative AI, the ability of algorithms to process various types of inputs—such as text, images, audio, video, and code—and generate new content, is...
13 MIN READ

Mar 21, 2024
Rethinking How to Train Diffusion Models
After exploring the fundamentals of diffusion model sampling, parameterization, and training as explained in Generative AI Research Spotlight: Demystifying...
15 MIN READ

Oct 31, 2023
New Workshop: Generative AI with Diffusion Models
Take a deep dive into denoising diffusion models, from building a U-Net to training a text-to-image model.
1 MIN READ

Jun 14, 2023
Generative AI Research Empowers Creators with Guided Image Structure Control
New research is boosting the creative potential of generative AI with a text-guided image-editing tool. The innovative study presents a framework using...
5 MIN READ

Apr 26, 2023
An Introduction to Large Language Models: Prompt Engineering and P-Tuning
ChatGPT has made quite an impression. Users are excited to use the AI chatbot to ask questions, write poems, imbue a persona for interaction, act as a personal...
10 MIN READ

Mar 21, 2023
Build Generative AI Pipelines for Drug Discovery with NVIDIA BioNeMo Service
Creating new drug candidates is a heroic endeavor, often taking over 10 years to bring a drug to market. New supercomputing-scale large language models (LLMs)...
8 MIN READ

Apr 26, 2022
Improving Diffusion Models as an Alternative To GANs, Part 2
This is part of a series on how researchers at NVIDIA have developed methods to improve and accelerate sampling from diffusion models, a novel and powerful...
16 MIN READ

Apr 26, 2022
Improving Diffusion Models as an Alternative To GANs, Part 1
This is part of a series on how NVIDIA researchers have developed methods to improve and accelerate sampling from diffusion models, a novel and powerful class...
8 MIN READ