CPU3DAI tools for 3D, video and audio

3DTopia: 3D generator — what it does and what you need to run it

3DTopia is an open-source 3D generator that tackles the task of quickly creating 3D objects from a text description. The tool is aimed at those who need a prototype or a model draft without a long wait.

What it does

  • Generates a 3D model from a text prompt (text-to-3D).
  • According to the developers, model creation takes up to five minutes.
  • A two-stage process: after the first stage, mesh refinement is applied via the threefiner tool.
  • Exports the result in glb format — the authors point to a file with the .glb extension as the final mesh.

What you need to run it

  • Platform: as described by the author, CUDA is required. The developers reference successful testing of the PyTorch 1.12.0 and CUDA 11.3 combination.
  • Language: Python.
  • License: Apache-2.0.
  • Code: open source, repository available at github.com/3DTopia/3DTopia. The last code change is dated 2024-03-10, and the repository was created on 2024-01-19.
  • Running on your own hardware: possible with a suitable GPU that supports CUDA. The authors do not mention a cloud service.

Who it suits

The tool will be useful for developers and researchers who are ready to set up a Python environment with CUDA and want to quickly get draft 3D models from text. The open license allows integrating the generator into your own projects.

It will not suit those who expect a ready-made application with a graphical interface or do not have an NVIDIA GPU with CUDA support. It is also worth noting that the authors do not provide VRAM requirements — this parameter remains unknown.

3DTopia occupies the niche of fast open-source generators, betting on speed and code transparency. At the same time, the user will have to figure out dependency installation and environment setup on their own — the documentation, judging by the repository, is minimal.

3DTopia pipeline Text-to-3D generation in 5 minutes Text prompt Object description in natural language Input Coarse geometry Initial shape diffusion-based Stage 1 Mesh refinement Detailing and smoothing Stage 2 · threefiner Model Final 3D mesh GLB Tech stack Platform CUDA 11.3 Language Python Framework PyTorch 1.12.0 License Apache-2.0 Repo: github.com/3DTopia/3DTopia · Open source · Last updated: 03/10/2024
How the 3DTopia pipeline works. The diagram is drawn from the tool’s fact sheet.

Fact sheet

Code licenseApache-2.0 source
PlatformCUDA per the author’s description source
Export formatsglb per the author’s description source
LanguagePython source
Last code change2024-03-10 source
Repository created2024-01-19 source
Changes often — as of 2026-08-19
Latest releasedata source
Release date2024-03-09 source
GitHub stars731 source
Forks55 source

Values are collected automatically from official sources and were checked on 2026-08-19. Each one links to its source, and values taken from the developer’s pages also carry a verbatim quote — hover over the note. Pricing and versions are shown as of the check date and change most often; verify on the vendor’s site before buying.

See also