"Prototyping can be a time-consuming process for 3D artists and developers, requiring hours of manual tweaking on models that might only end up getting scrapped. Nvidia reckons its latest AI Blueprint can help make that a thing of the past by applying generative AI to 3D modelling. At the electronics trade show IFA Berlin today, the maker of many of the best graphics cards, launched its new AI Blueprint for 3D Object Generation."
"The pipeline allows artists to use text prompts to populate 3D scenes with models that can then be modified in Blender, one of the best 3D modelling software programs, if needed. Nvidia notes that in traditional workflows, 3D artists create placeholder assets to populate prototypes of 3D scenes, adjusting core elements before visuals can be refined and finalised. A lot this is throwaway work, it says, and artists lose time on tedious modeling when they could be engaged in creative exploration."
"The blueprint's built-in large language model will then generate 20 possible objects to include in the scene with the Llama 3.1 8B NVIDIA NIM microservice accelerating the results. NVIDIA SANA, a text-to-image framework, generates previews of the potential objects, and each one can be regenerated, modified or discarded, giving the artist creative control. The assets can also be refined in Blender (automatic export is provided) or in other 3D modelling software."
Nvidia's AI Blueprint automates 3D prototyping by turning text prompts into scene assets and visual previews. A built-in large language model suggests up to 20 candidate objects per prompt, with inference accelerated by the Llama 3.1 8B NVIDIA NIM microservice. NVIDIA SANA generates text-to-image previews that can be regenerated, modified, or discarded, preserving artist control. Generated assets export automatically for refinement in Blender or other 3D modelling software. The pipeline reduces time spent creating temporary placeholder models and enables faster iteration, allowing artists to focus more on creative exploration than on repetitive modeling tasks.
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