Cosmos
Collection
The collection of Cosmos models
•
30 items
•
Updated
•
160
You need to agree to share your contact information to access this model
The information you provide will be collected, stored, processed and shared in accordance with the NVIDIA Privacy Policy.
NVIDIA Open Model License Agreement
Version Release Date: January 6, 2025
This NVIDIA Open Model License Agreement (the "Agreement") is a legal agreement between the Legal Entity You represent, or if no entity is identified, You and NVIDIA Corporation and its Affiliates ("NVIDIA") and governs Your use of the Models that NVIDIA provides to You under this Agreement. NVIDIA and You are each a "party" and collectively the "parties."
NVIDIA models released under this Agreement are intended to be used permissively and enable the further development of AI technologies. Subject to the terms of this Agreement, NVIDIA confirms that:
- Models are commercially usable.
- You are free to create and distribute Derivative Models.
- NVIDIA does not claim ownership to any outputs generated using the Models or Model Derivatives.
By using, reproducing, modifying, distributing, performing or displaying any portion or element of the Model or Derivative Model, or otherwise accepting the terms of this Agreement, you agree to be bound by this Agreement.
1. Definitions
The following definitions apply to this Agreement:
1.1. "NVIDIA Cosmos Model" means a multimodal Model shared under this Agreement.
1.2. "Derivative Model" means all (a) modifications to the Model, (b) works based on the Model, and (c) any other derivative works of the Model. An output is not a Derivative Model.
1.3. "Legal Entity" means the union of the acting entity and all other entities that control, are controlled by, or are under common control with that entity. For the purposes of this definition, "control" means (a) the power, direct or indirect, to cause the direction or management of such entity, whether by contract or otherwise, or (b) ownership of fifty percent (50%) or more of the outstanding shares, or (c) beneficial ownership of such entity.
1.4. "Model" means the machine learning model, software, checkpoints, learnt weights, algorithms, parameters, configuration files and documentation shared under this Agreement.
1.5. "You" or "Your" means an individual or Legal Entity exercising permissions granted by this Agreement.
2. Conditions for Use, License Grant, AI Ethics and IP Ownership
2.1. Conditions for Use. The Model and any Derivative Model are subject to additional terms as described in Section 2 and Section 3 of this Agreement and govern Your use. If You institute copyright or patent litigation against any entity (including a cross-claim or counterclaim in a lawsuit) alleging that the Model or a Derivative Model constitutes direct or contributory copyright or patent infringement, then any licenses granted to You under this Agreement for that Model or Derivative Model will terminate as of the date such litigation is filed. If You bypass, disable, reduce the efficacy of, or circumvent any technical limitation, safety guardrail or associated safety guardrail hyperparameter, encryption, security, digital rights management, or authentication mechanism contained in the Model, your rights under this Agreement will automatically terminate. NVIDIA may update this Agreement to comply with legal and regulatory requirements at any time and You agree to either comply with any updated license or cease Your copying, use, and distribution of the Model and any Derivative Model.
2.2. License Grant. The rights granted herein are explicitly conditioned on Your full compliance with the terms of this Agreement. Subject to the terms and conditions of this Agreement, NVIDIA hereby grants to You a perpetual, worldwide, non-exclusive, no-charge, royalty-free, revocable (as stated in Section 2.1) license to publicly perform, publicly display, reproduce, use, create derivative works of, make, have made, sell, offer for sale, distribute (through multiple tiers of distribution) and import the Model.
2.3. AI Ethics. Use of the Models under the Agreement must be consistent with NVIDIA's Trustworthy AI terms found at https://www.nvidia.com/en-us/agreements/trustworthy-ai/terms/.
2.4. NVIDIA owns the Model and any Model Derivatives created by NVIDIA. Subject to NVIDIA's underlying ownership rights in the Model or its Model Derivatives, You are and will be the owner of Your Model Derivatives. NVIDIA claims no ownership rights in outputs. You are responsible for outputs and their subsequent uses. Except as expressly granted in this Agreement, (a) NVIDIA reserves all rights, interests and remedies in connection with the Model and (b) no other license or right is granted to you by implication, estoppel or otherwise.
3. Redistribution
You may reproduce and distribute copies of the Model or Derivative Models thereof in any medium, with or without modifications, provided that You meet the following conditions:
3.1. If you distribute the Model, You must give any other recipients of the Model a copy of this Agreement and include the following attribution notice within a "Notice" text file with such copies: "Licensed by NVIDIA Corporation under the NVIDIA Open Model License";
3.2. If you distribute or make available a NVIDIA Cosmos Model, or a product or service (including an AI model) that contains or uses a NVIDIA Cosmos Model, use a NVIDIA Cosmos Model to create a Derivative Model, or use a NVIDIA Cosmos Model or its outputs to create, train, fine tune, or otherwise improve an AI model, you will include "Built on NVIDIA Cosmos" on a related website, user interface, blogpost, about page, or product documentation; and
3.3. You may add Your own copyright statement to Your modifications and may provide additional or different license terms and conditions for use, reproduction, or distribution of Your modifications, or for any such Derivative Models as a whole, provided Your use, reproduction, and distribution of the Model otherwise complies with the conditions stated in this Agreement.
4. Trademarks
This Agreement does not grant permission to use the trade names, trademarks, service marks, or product names of NVIDIA, except as required for reasonable and customary use in describing the origin of the Model and reproducing the content of the "Notice" text file.
5. Disclaimer of Warranty
Unless required by applicable law or agreed to in writing, NVIDIA provides the Model on an "AS IS" BASIS, WITHOUT WARRANTIES OR CONDITIONS OF ANY KIND, either express or implied, including, without limitation, any warranties or conditions of TITLE, NON-INFRINGEMENT, MERCHANTABILITY, or FITNESS FOR A PARTICULAR PURPOSE. You are solely responsible for determining the appropriateness of using or redistributing the Model, Derivative Models and outputs and assume any risks associated with Your exercise of permissions under this Agreement.
6. Limitation of Liability
In no event and under no legal theory, whether in tort (including negligence), contract, or otherwise, unless required by applicable law (such as deliberate and grossly negligent acts) or agreed to in writing, will NVIDIA be liable to You for damages, including any direct, indirect, special, incidental, or consequential damages of any character arising as a result of this Agreement or out of the use or inability to use the Model, Derivative Models or outputs (including but not limited to damages for loss of goodwill, work stoppage, computer failure or malfunction, or any and all other commercial damages or losses), even if NVIDIA has been advised of the possibility of such damages.
7. Indemnity
You will indemnify and hold harmless NVIDIA from and against any claim by any third party arising out of or related to your use or distribution of the Model, Model Derivatives or outputs.
8. Feedback
NVIDIA appreciates your feedback, and You agree that NVIDIA may use it without restriction or compensation to You.
9. Governing Law
This Agreement will be governed in all respects by the laws of the United States and the laws of the State of Delaware, without regard to conflict of laws principles or the United Nations Convention on Contracts for the International Sale of Goods. The state and federal courts residing in Santa Clara County, California will have exclusive jurisdiction over any dispute or claim arising out of or related to this Agreement, and the parties irrevocably consent to personal jurisdiction and venue in those courts; except that, either party may apply for injunctive remedies or an equivalent type of urgent legal relief in any jurisdiction.
10. Trade and Compliance
You agree to comply with all applicable export, import, trade and economic sanctions laws and regulations, as amended, including without limitation U.S. Export Administration Regulations and Office of Foreign Assets Control regulations. These laws include restrictions on destinations, end-users and end-use.
Log in or Sign Up to review the conditions and access this model content.
Cosmos-1.0-Autoregressive: A Suite of Autoregressive-based World Foundation Models
Model Overview
Description:
Cosmos World Foundation Models: A family of highly performant pre-trained world foundation models purpose-built for generating physics-aware videos and world states for physical AI development.
The Cosmos autoregressive models are a collection of pre-trained world foundation models that are ideal for predicting and rapidly generating video sequences from video or image inputs for physical AI. They can serve as the building block for various applications or research that are related to world generation. The models are ready for commercial use under NVIDIA Open Model license agreement.
Model Developer: NVIDIA
Model Versions
In Cosmos 1.0 release, the Cosmos Autoregressive WFM family includes the following models:
- Cosmos-1.0-Autoregressive-4B
- Given a 9-frame input video, predicts the future 24 frames.
- Given an image as the first frame, predicts the future 32 frames.
- Cosmos-1.0-Autoregressive-5B-Video2World
- Given text description and a 9-frame input video, predicts the future 24 frames.
- Given text description and an image as the first frame, predicts the future 32 frames.
- Cosmos-1.0-Autoregressive-12B)
- Given a 9-frame input video, predicts the future 24 frames.
- Given an image as the first frame, predicts the future 32 frames.
- Cosmos-1.0-Autoregressive-13B-Video2World
- Given text description and a 9-frame input video, predicts the future 24 frames.
- Given text description and an image as the first frame, predicts the future 32 frames.
License:
This model is released under the NVIDIA Open Model License. For a custom license, please contact [email protected].
Under the NVIDIA Open Model License, NVIDIA confirms:
- Models are commercially usable.
- You are free to create and distribute Derivative Models.
- NVIDIA does not claim ownership to any outputs generated using the Models or Derivative Models.
Important Note: If you bypass, disable, reduce the efficacy of, or circumvent any technical limitation, safety guardrail or associated safety guardrail hyperparameter, encryption, security, digital rights management, or authentication mechanism contained in the Model, your rights under NVIDIA Open Model License Agreement will automatically terminate.
- Cosmos-1.0-Guardrail is the safety guardrail for this model.
Model Architecture:
Cosmos-1.0-Autoregressive-13B-Video2World is an autoregressive transformer model designed for world generation. The network is composed of interleaved self-attention, cross-attention, and feedforward layers as its building blocks. The cross-attention layers allow the model to condition on input text throughout the decoding process.
Input/Output Specifications
Input
- Input Type(s): Text+Image, Text+Video
- Input Format(s):
- Text: String
- Image: jpg, png, jpeg, webp
- Video: mp4
- Input Parameters:
- Text: One-dimensional (1D)
- Image: Two-dimensional (2D)
- Video: Three-dimensional (3D)
- Other Properties Related to Input:
- The input string should contain fewer than 300 words and should provide descriptive content for world generation, such as a scene description, key objects or characters, background, and any specific actions or motions to be depicted within the 1-second duration.
- The input image and video should be of 1024x640 resolution.
Output
- Output Type(s): Video
- Output Format(s): mp4
- Output Parameters: Three-dimensional (3D)
- Other Properties Related to Output:
- For text+image input, the generated video will be a 32-frame clip with a resolution of 1024x640 pixels, conditioned on the input image as the first video frame.
- For text+video input, the generated video will be a 24-frame clip with a resolution of 1024x640 pixels, conditioned on the first 9 frames of the input video.
- The content of the video will visualize the input text description as a short animated scene, capturing the main elements mentioned in the input.
Software Integration:
Runtime Engine(s):
Supported Hardware Microarchitecture Compatibility:
- NVIDIA Blackwell
- NVIDIA Hopper
- NVIDIA Ampere
Note: We have only tested doing inference with BF16 precision.
Operating System(s):
- Linux (We have not tested on other operating systems.)
Usage
- See Cosmos for details.
Evaluation
Please see our technical paper for detailed evaluations.
Inference Time and GPU Memory Usage
These numbers may vary based on system specifications and are provided for reference only.
| Offloading Strategy | Cosmos-1.0-Autoregressive-5B-Video2World | Cosmos-1.0-Autoregressive-13B-Video2World |
|---|---|---|
| No offloading | 66.2 GB | > 80 GB |
| Guardrails | 58.7 GB | 76.6 GB |
| Guardrails & T5 encoder | 41.3 GB | 58.0 GB |
| Guardrails & T5 encoder & Diffusion decoder | 29.0 GB | 46.9 GB |
| Guardrails & T5 encoder & Diffusion decoder & Tokenizer | 28.8 GB | 46.7 GB |
| Guardrails & T5 encoder & Diffusion decoder & Tokenizer & AR model | 21.1 GB | 30.9 GB |
End-to-end inference runtime on one H100 with no offloading for 5B model and guardrail offloading for 13B, after model initialization:
| Cosmos-1.0-Autoregressive-5B-Video2World | Cosmos-1.0-Autoregressive-13B-Video2World |
|---|---|
| ~73 seconds | ~150 seconds |
Failure Analysis
Our models now support video extension up to 33 frames. Starting from either a single image or a 9-frame video input, it can generate the remaining frames to reach the 33-frame length (generating 32 or 24 frames respectively).
We have evaluated all eight possible configurations (4 models × 2 vision input types: image or video) using 100 test videos from physical AI domains. Below are the failure rates for each configuration:
| Model | Image input | Video input (9 frames) |
|---|---|---|
| Cosmos-1.0-Autoregressive-4B | 15% | 1% |
| Cosmos-1.0-Autoregressive-5B-Video2World | 7% | 2% |
| Cosmos-1.0-Autoregressive-12B | 2% | 1% |
| Cosmos-1.0-Autoregressive-13B-Video2World | 3% | 0% |
We define failure cases as videos with severe distortions, such as:
- Sudden appearance of large unexpected objects
- Video degrading to a single solid color
Note that the following are not considered failures in our analysis:
- Static video frames
- Minor object distortions or artifacts
Ethical Considerations
NVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. When downloaded or used in accordance with our terms of service, developers should work with their internal model team to ensure this model meets requirements for the relevant industry and use case and addresses unforeseen product misuse.
For more detailed information on ethical considerations for this model, please see the subcards of Explainability, Bias, Safety & Security, and Privacy below. Please report security vulnerabilities or NVIDIA AI Concerns here.
Plus Plus (++) Promise
We value you, the datasets, the diversity they represent, and what we have been entrusted with. This model and its associated data have been:
- Verified to comply with current applicable disclosure laws, regulations, and industry standards.
- Verified to comply with applicable privacy labeling requirements.
- Annotated to describe the collector/source (NVIDIA or a third-party).
- Characterized for technical limitations.
- Reviewed to ensure proper disclosure is accessible to, maintained for, and in compliance with NVIDIA data subjects and their requests.
- Reviewed before release.
- Tagged for known restrictions and potential safety implications.
Bias
| Field | Response |
|---|---|
| Participation considerations from adversely impacted groups protected classes in model design and testing: | None |
| Measures taken to mitigate against unwanted bias: | None |
Explainability
| Field | Response |
|---|---|
| Intended Application & Domain: | World Generation |
| Model Type: | Transformer |
| Intended Users: | Physical AI developers |
| Output: | Videos |
| Describe how the model works: | Generates videos based on video inputs |
| Technical Limitations: | The model may not follow the video input accurately. |
| Verified to have met prescribed NVIDIA quality standards: | Yes |
| Performance Metrics: | Quantitative and Qualitative Evaluation |
| Potential Known Risks: | The model's output can generate all forms of videos, including what may be considered toxic, offensive, or indecent. |
| Licensing: | NVIDIA Open Model License |
Privacy
| Field | Response |
|---|---|
| Generatable or reverse engineerable personal information? | None Known |
| Protected class data used to create this model? | None Known |
| Was consent obtained for any personal data used? | None Known |
| How often is dataset reviewed? | Before Release |
| Is a mechanism in place to honor data subject right of access or deletion of personal data? | Not Applicable |
| If personal data was collected for the development of the model, was it collected directly by NVIDIA? | Not Applicable |
| If personal data was collected for the development of the model by NVIDIA, do you maintain or have access to disclosures made to data subjects? | Not Applicable |
| If personal data was collected for the development of this AI model, was it minimized to only what was required? | Not Applicable |
| Is there provenance for all datasets used in training? | Yes |
| Does data labeling (annotation, metadata) comply with privacy laws? | Yes |
| Is data compliant with data subject requests for data correction or removal, if such a request was made? | Not Applicable |
Safety
| Field | Response |
|---|---|
| Model Application(s): | World Generation |
| Describe the life critical impact (if present). | None Known |
| Use Case Restrictions: | NVIDIA Open Model License |
| Model and dataset restrictions: | The Principle of least privilege (PoLP) is applied limiting access for dataset generation and model development. Restrictions enforce dataset access during training, and dataset license constraints adhered to. Model checkpoints are made available on Hugging Face, and may become available on cloud providers' model catalog. |
- Downloads last month
- 29