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docs: scope model versions and parameter list to Cosmos3-Super-Text2Image-4Step

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@@ -41,34 +41,9 @@ This model is ready for commercial and non-commercial use.
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  ### Model Versions
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  **Released on: 07/20/2026**
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- - Cosmos3-Edge:
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- - 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.
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-
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- - Cosmos3-Edge-Policy-DROID:
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- - Given language instructions and visual observations from the DROID robot platform, generate robot action trajectories for manipulation and control tasks.
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-
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- - Cosmos3-Super-Image2Video-4Step:
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- - 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)](https://arxiv.org/abs/2405.14867), enabling high-quality generation in 4 steps.
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-
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  - Cosmos3-Super-Text2Image-4Step:
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  - Given text input, generate high-fidelity images that are consistent with the provided description. Distilled from Cosmos3-Super-Text2Image using [Improved Distribution Matching Distillation (DMD2)](https://arxiv.org/abs/2405.14867), enabling high-quality generation in 4 steps.
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- **Released on: 05/31/2026**
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- - Cosmos3-Nano:
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- - Given multimodal inputs including text, images, video, audio, and action trajectories, generate coherent text, images, video, audio, and action outputs for multimodal understanding, world simulation, future prediction, action reasoning, and Physical AI applications.
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-
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- - Cosmos3-Super:
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- - Given multimodal inputs including text, images, video, audio, and action trajectories, generate coherent text, images, video, audio, and action outputs for multimodal understanding, world simulation, future prediction, action reasoning, and Physical AI applications.
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-
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- - Cosmos3-Nano-Policy-DROID:
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- - Given language instructions and visual observations from the DROID robot platform, generate robot action trajectories for manipulation and control tasks.
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-
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- - Cosmos3-Super-Image2Video:
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- - Given one or more input images and optional text instructions, generate temporally coherent video sequences that are consistent with the provided visual content.
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-
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- - Cosmos3-Super-Text2Image:
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- - Given text input, generate high-fidelity images that are consistent with the provided description.
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-
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  ### License
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  This model is released under the [OpenMDW1.1](https://openmdw.ai/license/1-1/)
@@ -99,18 +74,8 @@ Cosmos3 is an Omni-modal foundation model built on a Mixture-of-Transformers (Mo
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  **Number of trainable model parameters:**
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  **Released on: 07/20/2026**
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- - Cosmos3-Edge: 4B
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- - Cosmos3-Edge-Policy-DROID: 4B
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- - Cosmos3-Super-Image2Video-4Step: 64B
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  - Cosmos3-Super-Text2Image-4Step: 64B
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- **Released on: 05/31/2026**
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- - Cosmos3-Nano: 16B
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- - Cosmos3-Super: 64B
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- - Cosmos3-Nano-Policy-DROID: 16B
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- - Cosmos3-Super-Image2Video: 64B
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- - Cosmos3-Super-Text2Image: 64B
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-
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  ## Input/Output Specifications
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  - **Generator Input**
 
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  ### Model Versions
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  **Released on: 07/20/2026**
 
 
 
 
 
 
 
 
 
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  - Cosmos3-Super-Text2Image-4Step:
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  - Given text input, generate high-fidelity images that are consistent with the provided description. Distilled from Cosmos3-Super-Text2Image using [Improved Distribution Matching Distillation (DMD2)](https://arxiv.org/abs/2405.14867), enabling high-quality generation in 4 steps.
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  ### License
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  This model is released under the [OpenMDW1.1](https://openmdw.ai/license/1-1/)
 
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  **Number of trainable model parameters:**
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  **Released on: 07/20/2026**
 
 
 
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  - Cosmos3-Super-Text2Image-4Step: 64B
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  ## Input/Output Specifications
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  - **Generator Input**