# Multimodal diffusion model

Cosmos-Predict2 is a high-performance pre-trained world foundation model designed for physical AI development, capable of generating physics-aware images, videos, and world states.

Cosmos-Predict2 is a series of high-performance pre-trained world foundation models designed for physical AI to generate physics-aware images, videos, and world states.

Cosmos-Predict2 is a series of high-performance pre-trained world foundation models designed to generate physics-aware images, videos, and world states, which can be used for the development of physics AI.

GLIGEN is a diffusion-based grounded text-to-image generation model capable of generating realistic images from text prompts, bounding boxes, and reference images.