Cosmos3-Edge

**Cosmos 3: Omnimodal World Models for Physical AI** Model Collection** | **Code** | **White Paper** | **Website** NVIDIA Cosmos™ is a world foundation model platform designed to accelerate the development of Physical AI by enabling machines to understand, simulate, and interact with the physical world across robotics, autonomous driving, and smart space environments, including industrial and factory-scale applications. Model Overview: Cosmos3-Edge Description Cosmos3 is a collection of Omnimodal world models capable of generating dynamic, high-quality video, image, audio, and action commands from combinations of text, image, video, and action trajectory inputs. It serves as a foundational building block for a broad range of Physical AI applications and research spanning world understanding, world generation, simulation, and embodied policy learning. This model is ready for commercial and non-commercial use. Model Developer:** NVIDIA Model Versions Released on: 07/20/2026** Cosmos3-Edge: Given multimodal inputs including text, images, video, and action trajectories, generate coherent text, images, video, and action outputs for multimodal understanding, world simulation, future prediction, action reasoning, and Physical AI applications. Cosmos3-Edge-Policy-DROID: Given language instructions and visual observations from the DROID robot platform, generate robot action trajectories for manipulation and control tasks. Cosmos3-Super-Image2Video-4Step: Given one or more input images and optional text instructions, generate temporally coherent video sequences that are consistent with the provided visual content. Distilled from Cosmos3-Super-Image2Video using Improved Distribution Matching Distillation (DMD2), enabling high-quality generation in 4 steps. Cosmos3-Super-Text2Image-4Step: Given text input, generate high-fidelity images that are consistent with the provided description. Distilled from Cosmos3-Super-Text2Image using Improved Distribution Matching Distillation (DM