Exploring the Latest Advancements in AI Research
Our community of open source research hubs has over 200,000 members building the future of AI. We are working globally with our partners, industry leaders, and experts to develop cutting-edge open AI models for Image, Language, Audio, Video, 3D, Biology and more.
SDXL: Improving Latent Diffusion Models for High-Resolution Image Synthesis
Compared to previous versions of Stable Diffusion, SDXL leverages a three times larger UNet backbone.
Objaverse-XL: A Universe of 10M+ 3D objects
Natural language processing and 2D vision models have attained remarkable proficiency on many tasks primarily by escalating the scale of training data.
Reconstructing the Mind’s Eye: fMRI-to-Image with Contrastive Learning and Diffusion Priors
A cutting-edge method for reconstructing and retrieving images from fMRI brain activity.
OpenFlamingo v2: New Models and Enhanced Training Setup
We are excited to release five trained OpenFlamingo models across the 3B, 4B, and 9B scales.
Pick-a-Pic: An Open Dataset of User Preferences for Text-to-Image Generation
Discover the groundbreaking project led by top researchers from Tel Aviv University and the Technion Institute of Technology.
DreamBooth: Fine Tuning Text-to-Image Diffusion Models for Subject-Driven Generation
In this work, we present a new approach for "personalization" of text-to-image diffusion models. Given as input just a few images of a subject, we fine-tune a pretrained text-to-image model such that it learns to bind a unique identifier with that specific subject.