Cosmos-Transfer1 is a world-to-world transfer model designed to bridge the perceptual divide between simulated and real-world environments.
Overview: Cosmos Transfer1 7B
The Cosmos models are a collection of general-purpose world foundation models for Physical AI.
NVIDIA NIM allows IT and DevOps teams to self-host Cosmos in their own managed environments, while still providing developers with industry-standard APIs for building advanced AI-powered applications. Leveraging cutting-edge GPU acceleration and scalable deployment, NIM offers the fastest path to inference with unparalleled performance.
NIMs are packaged as container images on a model-family basis. Each NIM is its own Docker container with a model, such as nvidia/cosmos-predict1-7b-text2world, nvidia/cosmos-predict1-7b-video2world, nvidia/cosmos-transfer1-7b.
Description:
The Cosmos Transfer1 7B NIM simplifies the deployment of the NVIDIA Cosmos Transfer1-7B model. Cosmos-transfer1-7B: A model that generates video from input video based on control inputs for visual, edge, depth, segmentation, and keypoint guidance.
The container components are ready for commercial/non-commercial use.
License/Terms of Use:
Use of the NIM container and model is governed by the NVIDIA Software and Model Evaluation License.
Deployment Geography:
Global
Release Date:
June 18, 2025
Cosmos Transfer1 7B NIM:
The Cosmos Transfer1 7B Container includes the following models:
Documentation Link:
This is the documentation link (You need to be added to Early access program to access):
Ethical Considerations:
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