End of Support — \"This artifact is no longer supported. NVIDIA strongly recommends artifacts that are up to date and supported\"

FLUX.1-Dev Container Overview

Description:

This container houses FLUX.1 [dev] is a collection of generative image AI models creating high quality, realistic images:

FLUX.1-dev generates images from simple text prompts.
FLUX.1-Canny-dev combines the text prompt with an image input processed to canny edges to guide the output image structure.
FLUX.1-Depth-dev combines the text prompt with an image input processed to depth map leveraging LiheYoung/Depth-anything-large-hf model to guide the output image structure.

The container components are ready for non-commercial use. Contact sales@blackforestlabs.ai for commercial terms of FLUX.1-dev model.

Third-Party Community Consideration:

This model is not owned or developed by NVIDIA. This model has been developed and built to a third-party’s requirements for this application and use case; see link to:

License/Terms of Use:

GOVERNING TERMS: The NIM container is governed by the NVIDIA Software License Agreement and the Product-Specific Terms for NVIDIA AI Products. Contact sales@blackforestlabs.ai for commercial terms to use the Flux.1-dev model. ADDITIONAL INFORMATION: Apache License, Version 2.0, NVIDIA Open Model License Agreement and Llama 2 Community 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:

NGC: version 1.2.0 January 21, 2026
NGC: version 1.1.0 June 5, 2026
NGC: version 1.0.1 May 10, 2026
NGC: version 1.0.0 April 9, 2025
build.nvidia.com April 9, 2025 via https://build.nvidia.com/black-forest-labs/flux_1-dev
Huggingface August 1, 2024 via https://huggingface.co/black-forest-labs/FLUX.1-dev

FLUX.1-dev:

The FLUX.1-dev Container includes the following models:

\n\n\n\n\n\n\n\n\n\n\n\n\n\n\n\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
FLUX.1-dev	generates images from simple text prompts	Automatic
FLUX.1-Canny-dev	combines the text prompt with an image input processed to canny edges to guide the output image structure	Automatic
FLUX.1-Depth-dev	combines the text prompt with an image input processed to depth map leveraging LiheYoung/Depth-anything-large-hf model to guide the output image structure	Automatic
Depth-anything-large-hf	estimates depth map from an image input	Automatic

Deployment Details:

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.

References

Flux on Black Forest Labs
Flux blog post

Container Version(s):

nvcr.io/nim/black-forest-labs/flux.1-dev: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. When downloaded or used in accordance with our terms of service, 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 Visual Generative AI NIM page for release documentation, deployment guides and more.

NVIDIA Developer Community Forum

Get access to community knowledge base articles and support cases (https://forums.developer.nvidia.com/)

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NVIDIA strongly recommends artifacts that are up to date and supported\"\n\n# FLUX.1-Dev Container Overview\n\n## Description:\nThis container houses FLUX.1 [dev] is a collection of generative image AI models creating high quality, realistic images: \n* FLUX.1-dev generates images from simple text prompts. \n* FLUX.1-Canny-dev combines the text prompt with an image input processed to canny edges to guide the output image structure. \n* FLUX.1-Depth-dev combines the text prompt with an image input processed to depth map leveraging LiheYoung/Depth-anything-large-hf model to guide the output image structure. \n\nThe container components are ready for non-commercial use. Contact sales@blackforestlabs.ai for commercial terms of FLUX.1-dev model.\n\n## Third-Party Community Consideration:\nThis model is not owned or developed by NVIDIA. This model has been developed and built to a third-party’s requirements for this application and use case; see link to:\n* [black-forest-labs/FLUX.1-dev Model Card](https://huggingface.co/black-forest-labs/FLUX.1-dev)\n* [black-forest-labs/FLUX.1-Canny-dev Model Card](https://huggingface.co/black-forest-labs/FLUX.1-Canny-dev)\n* [black-forest-labs/FLUX.1-Depth-dev Model Card](https://huggingface.co/black-forest-labs/FLUX.1-Depth-dev)\n* [LiheYoung/Depth-anything-large-hf Model Card](https://huggingface.co/LiheYoung/depth-anything-large-hf)\n\n### License/Terms of Use:\nGOVERNING TERMS: The NIM container is governed by the [NVIDIA Software License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-software-license-agreement/) and the [Product-Specific Terms for NVIDIA AI Products](https://www.nvidia.com/en-us/agreements/enterprise-software/product-specific-terms-for-ai-products/). Contact sales@blackforestlabs.ai for commercial terms to use the Flux.1-dev model. ADDITIONAL INFORMATION: [Apache License, Version 2.0](https://huggingface.co/datasets/choosealicense/licenses/blob/main/markdown/apache-2.0.md), [NVIDIA Open Model License Agreement](https://www.nvidia.com/en-us/agreements/enterprise-software/nvidia-open-model-license/) and [Llama 2 Community Model License Agreement](https://github.com/meta-llama/llama-models/blob/main/models/llama2/LICENSE).\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:
\n* NGC: version 1.2.0 January 21, 2026\n* NGC: version 1.1.0 June 5, 2026\n* NGC: version 1.0.1 May 10, 2026\n* NGC: version 1.0.0 April 9, 2025\n* build.nvidia.com April 9, 2025 via [https://build.nvidia.com/black-forest-labs/flux_1-dev](https://build.nvidia.com/black-forest-labs/flux_1-dev)\n* Huggingface August 1, 2024 via https://huggingface.co/black-forest-labs/FLUX.1-dev
\n\n## FLUX.1-dev:
\nThe FLUX.1-dev Container includes the following models:\n\n| Model Name & Link | Use Case | How to Pull the Model |\n|-------------------------------------------------------------------------------------|------------------------------------------------------------------------------------------------------------------------------------------------------------|-----------------------|\n| [FLUX.1-dev](https://huggingface.co/black-forest-labs/FLUX.1-dev) | generates images from simple text prompts | Automatic |\n| [FLUX.1-Canny-dev](https://huggingface.co/black-forest-labs/FLUX.1-Canny-dev) | combines the text prompt with an image input processed to canny edges to guide the output image structure | Automatic |\n| [FLUX.1-Depth-dev](https://huggingface.co/black-forest-labs/FLUX.1-Depth-dev) | combines the text prompt with an image input processed to depth map leveraging LiheYoung/Depth-anything-large-hf model to guide the output image structure | Automatic |\n| [Depth-anything-large-hf](https://huggingface.co/LiheYoung/depth-anything-large-hf) | estimates depth map from an image input | Automatic |\n\n## Deployment Details:
\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## References\n\n* [Flux on Black Forest Labs](https://blackforestlabs.ai/) \n* [Flux blog post](https://blackforestlabs.ai/announcing-black-forest-labs/) \n\n## Container Version(s): \nnvcr.io/nim/black-forest-labs/flux.1-dev: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:\n\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. When downloaded or used in accordance with our terms of service, 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 [Visual Generative AI NIM page](https://docs.nvidia.com/nim/visual-genai/latest/overview.html) for release documentation, deployment guides and more.\n\n## NVIDIA Developer Community Forum\nGet access to community knowledge base articles and support cases (https://forums.developer.nvidia.com/)","FLUX.1-dev",["D",1790111161036],[346,344,340,335,333,331,327,342,348,329,325],"/api/image/nim/black-forest-labs/containers/flux.1-dev",19250973664,"hasSignedTag",[379],[371,372,373],[],[367],[],{"_91":368,"_123":368,"_124":369,"_126":370},"signed images",{"_128":370,"_123":368},"system",{"_91":122,"_123":122,"_124":378,"_126":127},{"_91":376,"_123":376,"_124":377,"_126":127},{"_91":374,"_123":374,"_124":375,"_126":127},"NSPECT-KAAV-7OC0",{"_128":127,"_123":374},"NIM",{"_128":127,"_123":376},{"_128":127,"_123":122},{"_91":380,"_123":381,"_124":382,"_126":383},"NVIDIA NIM","nimmcro_nvidia_nim",{"_128":384,"_123":381},"feature","nvidia_nim",{"_219":1505,"_221":1506},"ngcApps",[1458],"csaApiBaseUrl","https://www.nvidia.com/ai-agents/csa-agent/dcsm","datadogRum",{"_1439":1440,"_1441":1442,"_1443":1444,"_1445":1446,"_1447":396,"_251":422,"_1448":1449,"_1450":51,"_1451":146,"_1452":146,"_1453":1454,"_1455":146,"_1456":1457},"amplitude",{"_1436":1437,"_1060":-7,"_1438":26},"disableJs","environment","prod","featureFlagsBlob","JTdCJTIydGVzdEZsYWclMjIlM0FmYWxzZSUyQyUyMnNob3dTZWFyY2hMYWJlbFNldEZpbHRlcnMlMjIlM0FmYWxzZSUyQyUyMmVuYWJsZUNzYVdpZGdldCUyMiUzQWZhbHNlJTJDJTIyY29udGFpbmVyU2Nhbm5pbmdSZWRlc2lnbk0yJTIyJTNBdHJ1ZSU3RA==","featureFlagsGuarded","isDevLikeEnv","isPlaywright","isMobileDevice","categorizedOrgs",{"_1430":1431,"_1432":1433,"_1434":1435},"currentOrgContext","currentContextRoles",[],"enterpriseOrgs",[],"manageableExternalUserGroups",[],"ngcApiOrigin","ngcHelmOrigin","origin","https://catalog.ngc.nvidia.com","usesMocks","theme","year",2026,"now",1794510820801,"1.31.0","defaultSearchSuggestions",{"_1330":506,"_1331":1332,"_1333":1334,"_1335":1336},"announcements",[],"consentState",{"_462":1320,"_1321":26,"_1322":26,"_1323":146,"_1324":1325},"consentConfig",{"_444":445,"_446":447,"_448":449,"_450":451,"_452":453,"_454":455,"_456":457,"_458":459,"_460":461,"_462":463},"showContactAdmin",1794510820802,[],[],[436,437,438,439,440,441,442],{"_40":61,"_42":64,"_44":60,"_46":-5,"_48":-5,"_50":51},{"_40":61,"_42":63,"_44":60,"_46":-5,"_48":-5,"_50":51},{"_40":61,"_42":62,"_44":60,"_46":-5,"_48":-5,"_50":51},{"_40":54,"_42":59,"_44":60,"_46":-5,"_48":-5,"_50":51},{"_40":54,"_42":55,"_44":60,"_46":-5,"_48":-5,"_50":51},{"_40":52,"_42":53,"_44":60,"_46":-5,"_48":-5,"_50":51},{"_40":41,"_42":43,"_44":45,"_46":47,"_48":443,"_50":51},4,"mainInfoText","We and our third-party partners (including social media, advertising, and analytics partners) use cookies and other tracking technologies to collect, store, monitor, and process certain information about you when you visit our website. The information collected might relate to you, your preferences, or your device. We use that information to make the site work, analyze performance and traffic on our website, provide a more personalized web experience, and assist in our marketing efforts.

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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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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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