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[doc] standardize diffusion cookbook model pages (#34247)

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Co-authored-by: Claude Opus 5 <noreply@anthropic.com>
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Mick
2026-08-21 10:25:40 +08:00
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co-authored by Claude Opus 5
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docs/cookbook/diffusion/Cosmos/Cosmos3.mdx
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@@ -6,11 +6,13 @@ metatags:
import { DiffusionModelTags } from '/src/snippets/diffusion/model-tags.jsx';
<DiffusionModelTags tags={["image", "video", "sound/action", "world model", "policy"]} />
<DiffusionModelTags tags={["omnimodal", "image + video", "sound + action", "world model", "robot policy"]} />
## 1. Model Introduction
[NVIDIA Cosmos3](https://huggingface.co/collections/nvidia/cosmos3) is an omnimodal world-model family for image, video, sound, and action generation. SGLang Diffusion serves the public checkpoints with its native Cosmos3 pipeline.
[NVIDIA Cosmos3](https://huggingface.co/collections/nvidia/cosmos3) is an omnimodal world-model family spanning text/image/video generation, optional synchronized sound, and robot action prediction. Its main advantage is breadth: the same native SGLang pipeline can serve media-generation checkpoints and the DROID policy checkpoint without routing through an LLM sampler.
Choose Nano for the broadest modality coverage and lower deployment cost, Super for the larger 64B image/video model, and a specialized checkpoint when only T2I or I2V is needed. Sound and action are checkpoint-specific heads, so they are not available from every Cosmos3 repository.
| Model | Status | Notes |
| --- | --- | --- |