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GOVERNING DOWNLOAD TERMS: Use of this container is governed by the NVIDIA Software License Agreement and Product-Specific Terms for NVIDIA AI Products.

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Harmonizer Container Overview

Description:

This NIM container houses the Harmonizer model, which is a single-step image diffusion model trained as an online generative enhancer for neural-reconstruction image and video renderings. It transforms imperfect novel-view renderings produced by Neural Radiance Fields (NeRF) or 3D Gaussian Splatting (3DGS) reconstructions into temporally consistent outputs that are closer to real captures, while correcting illumination, shadow, and reconstruction-artifact issues that arise when dynamic objects are composited into reconstructed scenes.

The container components are ready for commercial use.

License/Terms of Use:

GOVERNING TERMS: Use of this container is governed by the NVIDIA Software License Agreement and Product-Specific Terms for NVIDIA AI Products.\nUse of the model is governed by the NVIDIA Open Model License Agreement.

You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.

Deployment Geography:

Global

Release Date:

Hugging Face 06/2026 via URL.

Program Class:

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n

tr:nth-child(odd)]:bg-surface-sunken\">

Model Name & Link	Use Case	How to Pull the Model
Harmonizer https://catalog.ngc.nvidia.com/orgs/nim/nvidia/models/Harmonizer/-	Online generative enhancer for neural-reconstruction image and video renderings.	Automatic

Deployment Details:

Visit the NIM Container Cosmos page for release documentation, deployment guides, and more.

Our AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA’s hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.

Container Version(s):

nvcr.io/nim/nvidia/harmonizer:latest

Security Common Vulnerabilities and Exposures (CVEs)

Please review the Security Scanning tab on NGC to view the latest security scan results.\nFor certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.

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. Developers should work with their internal developer team to ensure these software components meet requirements for the relevant industry and use case and address unforeseen product misuse.

Users are responsible for model inputs and outputs. Users are responsible for ensuring safe integration of this model, including implementing guardrails as well as other safety mechanisms, prior to deployment.

Please report quality, risk, security vulnerabilities or NVIDIA AI Concerns here.

Get Help

Getting started with the NIM

Deploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the Cosmos NIM page for release documentation, deployment guides and more.

Enterprise Support

Get access to knowledge base articles and support cases or submit a ticket.

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\n\n### License/Terms of Use:\nGOVERNING TERMS: Use of this container is governed by the [NVIDIA Software License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement/) and [Product-Specific Terms for NVIDIA AI Products](https://www.nvidia.com/en-us/agreements/enterprise-software/product-specific-terms-for-ai-products/).\nUse of the model is governed by the [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/).\n\n\n\n\n**You are responsible for ensuring that your use of NVIDIA provided models complies with all applicable laws.**\n\n### Deployment Geography:
\nGlobal
\n\n### Release Date:
\nHugging Face 06/2026 via [URL](https://huggingface.co/nvidia/Harmonizer).
\n\n## Program Class:
\n| Model Name & Link | Use Case | How to Pull the Model |\n|---|---|---|\n| Harmonizer [https://catalog.ngc.nvidia.com/orgs/nim/nvidia/models/Harmonizer/-](https://catalog.ngc.nvidia.com/orgs/nim/nvidia/models/Harmonizer/-) | Online generative enhancer for neural-reconstruction image and video renderings. | Automatic |\n\n\n## Deployment Details:
\nVisit the NIM Container [Cosmos page](https://docs.nvidia.com/nim/cosmos/3.0.0/index.html) for release documentation, deployment guides, and more.
\n\nOur AI models are designed and/or optimized to run on NVIDIA GPU-accelerated systems. By leveraging NVIDIA’s hardware (e.g. GPU cores) and software frameworks (e.g., CUDA libraries), the model achieves faster training and inference times compared to CPU-only solutions.
\n\n\n## Container Version(s): \nnvcr.io/nim/nvidia/harmonizer:latest
\n\n## Security Common Vulnerabilities and Exposures (CVEs)\nPlease review the Security Scanning tab on NGC to view the latest security scan results.\nFor certain open-source vulnerabilities listed in the scan results, NVIDIA provides a response in the form of a Vulnerability Exploitability eXchange (VEX) document. The VEX information can be reviewed and downloaded from the Security Scanning tab.\n\n## Ethical Considerations: \nNVIDIA believes Trustworthy AI is a shared responsibility and we have established policies and practices to enable development for a wide array of AI applications. Developers should work with their internal developer team to ensure these software components meet requirements for the relevant industry and use case and address unforeseen product misuse.\n\nUsers are responsible for model inputs and outputs. Users are responsible for ensuring safe integration of this model, including implementing guardrails as well as other safety mechanisms, prior to deployment.\n\nPlease report quality, risk, security vulnerabilities or NVIDIA AI Concerns [here](https://www.nvidia.com/en-us/support/submit-security-vulnerability/).\n\n# Get Help\n\n## Getting started with the NIM\nDeploying and integrating the NIM is straightforward thanks to our industry standard APIs. Visit the [Cosmos NIM page](https://docs.nvidia.com/nim/cosmos/3.0.0/index.html) for release documentation, deployment guides and more.\n\n### Enterprise Support\n\nGet access to knowledge base articles and support cases or [submit a ticket](https://www.nvidia.com/en-us/data-center/products/ai-enterprise-suite/support/).","displayName","Harmonizer",["D",1790714014079],"publisher","NVIDIA","latestVersion","versions",[169,201],"imageUrl","/api/image/nim/nvidia/containers/harmonizer","rawImageUrl","canGuestDownload","latestVersionSizeInBytes",11150359312,"licenseTerms",{"_265":266,"_267":16,"_268":269,"_270":20,"_271":272},"isMultinodeEnabled","isMultiArchitecture","hasSignedTag","featureLabels",[256,257],"displayLabels",[253],"policyLabels",[],"systemLabels",[246],"products",[],"hasNimMetadata","computedResourceType",{"_215":247,"_248":247,"_249":250,"_75":251},"signed images","value","filter",{"_252":251,"_248":247},"system","field",{"_215":254,"_248":254,"_249":255,"_75":81},"NSPECT-DO2S-GAG1",{"_252":81,"_248":254},{"_215":263,"_248":263,"_249":264,"_75":261},{"_215":258,"_248":259,"_249":260,"_75":261},"NVIDIA NIM","nimmcro_nvidia_nim",{"_252":262,"_248":259},"feature","nvidia_nim","NVIDIA AI Enterprise Supported",{"_252":81,"_248":263},"governingTerms","

GOVERNING DOWNLOAD TERMS: Use of this container is governed by the NVIDIA Software License Agreement and Product-Specific Terms for NVIDIA AI Products.

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Under certain privacy laws, you have the right to direct us not to \"sell\" or \"share\" your personal information for targeted advertising. To opt-out of the \"sale\" and \"sharing\" of personal information through cookies, you must opt-out of optional cookies using the toggles below. To opt out of the \"sale\" and \"sharing\" of data collected by other means (e.g., online forms) you must also update your data sharing preferences through the NVIDIA Preference Center.

Click on the different category headings below to find out more and change the settings according to your preference. You cannot opt out of Required Cookies as they are deployed to ensure the proper functioning of our website (such as prompting the cookie banner and remembering your settings, etc.). By clicking \"Save and Accept\" or \"Decline All\" at the bottom, you consent to the use of cookies and other tools as described in our Cookie Policy in accordance with your settings and accept our Terms of Service (which contains important waivers). 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These cookies enable us to provide enhanced website functionality and personalization as well as make the marketing messages we send to you more relevant to your interests. 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These cookies may store a unique ID so that our system will remember you when you return. 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The cookie is used for measuring a visitor’s scroll activity to see how much of a page they view before moving on to another page.","_an_uid","This cookie is likely used for analytics purposes to track user behavior and site usage, which may include unique user identification for tracking.","tp","This cookie is associated with Adobe Analytics site tracking. It registers if the website's scroll-depth detection is active. This function remembers how far the user has scrolled on the current session across the website's sub-pages.","s_ips","_hly_vid","This cookie _hly_vid is used to record website and server performance with each visit to the site. 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It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","nvidiaCart","This domain is owned by NVIDIA Corporation which provides information about the company, its products, solutions, industries, news, events, and career opportunities.","nv_co","__uxq412__ses.88c1","AWS ELB application load balancerUsed to attribute commission to affiliates when you arrive at the website from an affiliate referral link. It is set when you click on one of our links and used to let the advertiser and us know the website from which you came.","learn.learn.nvidia.com","pctrk","Used to count page views by unauthenticated users against license usage.","bm_s","This cookie is associated with Akamai. 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