Hi3D just open-sourced their 3D generation model, trained on ~2M objects. You can run inference in-browser or self-host.
Architecture is production-ready—studios are already shipping with it. Free tier handles standard meshes, paid tier unlocks high-poly outputs + API access for agentic workflows.
The interesting part: their API lets LLM agents generate 3D assets autonomously. So your AI design assistant can now spawn game props, product mockups, or CAD prototypes without manual intervention.
Self-hosting means you keep training data internal, which matters for proprietary asset pipelines. Model weights are on GitHub, inference stack runs locally.
This shifts 3D gen from "cool demo" to "integrated toolchain component." If you're building design automation or procedural content systems, worth testing against your asset specs.
Architecture is production-ready—studios are already shipping with it. Free tier handles standard meshes, paid tier unlocks high-poly outputs + API access for agentic workflows.
The interesting part: their API lets LLM agents generate 3D assets autonomously. So your AI design assistant can now spawn game props, product mockups, or CAD prototypes without manual intervention.
Self-hosting means you keep training data internal, which matters for proprietary asset pipelines. Model weights are on GitHub, inference stack runs locally.
This shifts 3D gen from "cool demo" to "integrated toolchain component." If you're building design automation or procedural content systems, worth testing against your asset specs.