Model Detail
Cosmos3-Super-Image2Video
—Cosmos3-Super-Image2Video is an image generation model with 32.3B parameters released by NVIDIA. The model is registered under the image-to-video pipeline tag on Hugging Face, distributed under a other license.
Cosmos3-Super-Image2Video ships with 32.3B parameters. Total weight footprint is approximately 64.6 GB, which is the relevant figure when planning local-inference VRAM. Distribution is governed by the other license — review the exact terms before commercial deployment.
Cosmos3-Super-Image2Video is best fit for text-to-image generation and creative iteration. It is a less obvious choice for production photography pipelines that need exact reproducibility. Treat this as a starting matrix rather than a benchmark verdict — the right deployment usually depends on the specific evaluation suite that mirrors your workload.
NVIDIA Cosmos3-H-Dreams: Bringing Clinical Surgery to Life Through Generative Simulation
Measuring Language Transfer in Robot Policies: Adding Greek to a Cosmos3 Vision-Language-Action Policy
arXiv:2609.07470v1 Announce Type: cross Abstract: Robot foundation models are trained and evaluated predominantly in English, and robot demonstration corpora do not exist for most languages. We study the addition of Greek to an open vision-language-action stack using only machine-rephrased instructi
