Crisp3D vs TripoSR
Crisp3D
crisp3d.aiTripoSR
github.comSide by side
| Figure | Crisp3D | TripoSR |
|---|---|---|
| Price from | $2.66/mo | Free |
| Free plan | Yes | Yes |
| Free trial | — | — |
| Open source | — | — |
| Web | Yes | Yes |
| Linux | — | Yes |
| Self-hosted | — | Yes |
| Plans published | 7 | 1 |
| Spec score · AI 3D Model Generators | 8.3 (#7) | 7.7 (#18) |
Plans
Crisp3D
- FreeFree
- 1,000-credit top-up$22, paid once
- Pro$31.92 a year
- Ultra$95.92 a year
- 5,000-credit top-up$99, paid once
- 10,000-credit top-up$150, paid once
- Basic$191.04 a year
In their own words
Crisp3D
Crisp3D is a web tool for creating 3D models for printing from text prompts, photos, sketches, and concept images. It also offers AI texturing, 3D segmentation, and AI retopology to simplify dense geometry. Users can upload supported existing models to preview colors and finishes, split parts, add joints, or simplify geometry. Listed AI models include Tripo3D, Meshy, Hunyuan3D, and Hi3D; supported slicers include Bambu Studio, OrcaSlicer, Creality Print, ElegooSlicer, and Snapmaker Orca. Exports are available in GLB, FBX, OBJ, STL, and 3MF. The free plan permits one concurrent task and limited AI models; its models are public, non-commercial, and unavailable for download. Paid plans start at $25.90/mo. Paid users can choose private visibility, and commercial use is subject to the applicable license, platform terms, and rights in input materials. Subscription credits refresh each billing cycle and do not carry over. Crisp3D says uploaded files, prompts, and generated outputs are not used to train or improve AI models unless users opt into a separate program.
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.