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README.md
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@@ -26,6 +26,8 @@ Cosmos3-Edge is the most compact member of the Cosmos3 family — a 4B-parameter
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- **Example usage and output:** See the [Usage](https://huggingface.co/nvidia/Cosmos3-Edge#usage) section.
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- **Hardware:** The compact 4B size is intended for efficient single-GPU deployment; see [Usage](https://huggingface.co/nvidia/Cosmos3-Edge#usage) and [PBR](https://huggingface.co/nvidia/Cosmos3-Edge#pbr-performance-benchmark-reporting) for latency estimates.
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Cosmos3-Edge was developed by NVIDIA as a part of Cosmos3.
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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.
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- **Example usage and output:** See the [Usage](https://huggingface.co/nvidia/Cosmos3-Edge#usage) section.
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- **Hardware:** The compact 4B size is intended for efficient single-GPU deployment; see [Usage](https://huggingface.co/nvidia/Cosmos3-Edge#usage) and [PBR](https://huggingface.co/nvidia/Cosmos3-Edge#pbr-performance-benchmark-reporting) for latency estimates.
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Cosmos3-Edge was developed by NVIDIA as a part of Cosmos3.
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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.
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