Editor’s note: This post is part of Into the Omniverse, a blog series focused on how developers, 3D artists, and enterprises can transform their workflows using the latest advances in OpenUSD and NVIDIA Omniverse.
3D product configurators are changing the way industries like retail and automotive engage with customers by offering interactive, customizable 3D visualizations of products.
Developing Controllable Generative AI for Content Production
The new Omniverse Blueprint introduces a robust framework for integrating generative AI into 3D workflows to enable precise and controlled asset creation.
Key highlights of the blueprint include:
• Model conditioning to ensure that the AI-generated visuals adhere to specific brand requirements like colors and logos.
• Multimodal approach that combines 3D and 2D techniques to offer developers complete control over final visual outputs while ensuring the product’s digital twin remains accurate.
• Key components such as an on-brand hero asset, a simple and untextured 3D scene, and a customizable application built with the Omniverse Kit App Template.
• OpenUSD integration to enhance development of 3D visuals with precise visual generative AI.
• Integration of NVIDIA NIM, such as the Edify 360 NIM, Edify 3D NIM, USD Code NIM, and USD Search NIM microservices, allows the blueprint to be extensible and customizable. The microservices are available to preview on build.nvidia.com.
How Developers Are Building AI-Enabled Content Pipelines
Katana Studio developed a content creation tool with OpenUSD called COATcreate that empowers marketing teams to rapidly produce 3D content for automotive advertising. By using 3D data prepared by creative experts and vetted by product specialists in OpenUSD, even users with limited artistic experience can quickly create customized, high-fidelity, on-brand content for any region or use case without adding to production costs.
Global marketing leader WPP has built a generative AI content engine for brand advertising with OpenUSD. The Omniverse Blueprint for precise visual generative AI helped facilitate the integration of controllable generative AI in its content creation tools. Leading global brands like The Coca-Cola Company are already beginning to adopt tools from WPP to accelerate iteration on its creative campaigns at scale.
Conclusion
The NVIDIA Omniverse Blueprint for 3D conditioning for precise visual generative AI is revolutionizing the way developers build AI-enabled content pipelines. With its robust framework and customizable components, developers can integrate controllable generative AI into their workflows, ensuring precise and controlled asset creation.
Frequently Asked Questions
Q: What is the Omniverse Blueprint for 3D conditioning for precise visual generative AI?
A: The Omniverse Blueprint is a framework for integrating generative AI into 3D workflows to enable precise and controlled asset creation.
Q: What are the key components of the Omniverse Blueprint?
A: The blueprint includes model conditioning, multimodal approach, on-brand hero asset, simple and untextured 3D scene, and a customizable application built with the Omniverse Kit App Template.
Q: What is OpenUSD integration?
A: OpenUSD integration enhances development of 3D visuals with precise visual generative AI.
Q: What are the NVIDIA NIM microservices available to preview on build.nvidia.com?
A: The Edify 360 NIM, Edify 3D NIM, USD Code NIM, and USD Search NIM microservices are available to preview on build.nvidia.com.
Q: What are the benefits of using the Omniverse Blueprint?
A: The blueprint enables precise and controlled asset creation, offers complete control over final visual outputs, and accelerates development of AI-enabled content pipelines.
