Hi3D vs TripoSR
Hi3D
hi3d.aiTripoSR
github.comSide by side
| Figure | Hi3D | TripoSR |
|---|---|---|
| Price from | Free | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| iOS | Yes | — |
| Android | Yes | — |
| API | Yes | — |
| Self-hosted | — | Yes |
| Plans published | 4 | 1 |
| Spec score · AI 3D Model Generators | 8.1 (#12) | 7.7 (#18) |
| Intended users | Hi3D presents use cases including 3D printing, game design, film and VFX, art and sculpture, architecture, and fashion and jewelry design. | The project describes its intended audience as researchers, developers, and creatives working in 3D generative AI and 3D content creation. |
Plans
In their own words
Hi3D
Hi3D is an AI image-to-3D tool that turns images into models using Math Magic’s Sparc3D and Ultra3D models. It supports both single-image and multi-view generation, along with text-to-3D, AI texturing, 3D relief generation, and a tool for dividing characters into printable parts. Exports include FBX, GLB, OBJ, STL, and USDZ, and models can be sent directly to Bambu Studio and OrcaSlicer. The wider integration list includes Snapmaker, Creality Print, ElegooSlicer, ComfyUI, and Blender. Developers and enterprises can use its Open Platform API; API operations are priced by model and resolution, with one credit listed at $0.020. The Free plan includes 100 lifetime credits, up to 10 asset generations, one concurrent task, and storage for seven models; those models are public under CC BY 4.0. Paid plans include private and commercial use, and the listed pricing note says paid plans start at $19.90/mo. Hi3D Scan supports video capture or gallery upload for model reconstruction. Platforms include Android, iOS, web, and API.
TripoSR
TripoSR is a free, MIT-licensed open-source model that reconstructs a 3D object from one image. Tripo AI and Stability AI developed it collaboratively for researchers, developers, and creatives working in 3D generative AI and content creation. The project states that generation can take less than 0.5 seconds on an NVIDIA A100 GPU. Its repository provides command-line inference and a local Gradio app launched with Python. The app offers background removal, foreground-ratio and marching-cubes-resolution controls, and OBJ or GLB output. Inference accepts one or more image paths and can bake textures instead of vertex colors, with configurable texture resolution. Default settings use about 6 GB of VRAM for one image. Local setup lists Python 3.8 or newer, PyTorch, and requirements.txt dependencies; CUDA is optional when available. TripoSR supports image-to-3D and AI texturing, but not text-to-3D. Its listed platforms are Linux, self-hosted, and web.