For Hugging Face’s AI builders, creators, and researchers—if you’ve been hunting for a seamless way to turn 2D images into production-ready 3D models, let’s talk about Seed3D (https://www.seed3dai.com/).
This tool cuts through the noise: upload a single 2D image (JPG/PNG/WEBP, up to 10MB), wait 5–30 mins, and get a simulation-grade 3D model with 6K PBR textures, crisp text/logos (no distortion!), and support for GLB/OBJ/USD formats—perfect for integrating into Unity, Omniverse, or custom AI pipelines.
No 3D modeling skills required, fully automated, and commercial-use friendly—game-changing for multi-modal projects, embodied AI simulations, or generative content pipelines.
Here’s the question for the community:
What’s the first AI workflow you’d plug Seed3D into? Would you pair it with text-to-image models for end-to-end “text → 2D → 3D” generation? Use it to augment training data for your 3D-aware models? Or integrate it into a metaverse/XR build?
I’m curious to hear how fellow developers and creators would leverage this—drop your ideas below, and don’t forget to test Seed3D yourself at https://www.seed3dai.com/! Has anyone already tried it with their Hugging Face projects? Share your results!