---
title: Hi3Dv1
emoji: 🗿
colorFrom: gray
colorTo: purple
sdk: gradio
sdk_version: 6.30.0
app_file: app.py
python_version: "3.10"
short_description: Image to high-res 3D mesh with Hi3Dv1 refinement
startup_duration_timeout: 1h
license: other
license_name: hi3d-open-license-agreement-1.0
license_link: LICENSE
models:
  - hi3d-official/Hi3Dv1.0
  - tencent/Hunyuan3D-2mini
  - facebook/dinov2-large
  - openai/clip-vit-large-patch14
---

# Hi3Dv1 demo

Image → coarse mesh ([Hunyuan3D-2mini-Turbo](https://huggingface.co/tencent/Hunyuan3D-2mini), or upload your own) →
high-resolution geometry refinement with [hi3d-official/Hi3Dv1.0](https://huggingface.co/hi3d-official/Hi3Dv1.0).

*Powered by Hi3D 1.0* — <http://hi3d.ai/>

- The `sparc3d/` package is the official inference code from <https://github.com/hi3d-official/Hi3Dv1.0>
  (Hi3D Open License Agreement 1.0, plus retained Apache-2.0/MIT terms — see `LICENSE`, `NOTICE`,
  `THIRD_PARTY_LICENSES.md`, `AUTHORS`). One patch: sparse convolutions use spconv's Native algorithm
  (`SPCONV_ALGO=native`) so they run on ZeroGPU's Blackwell GPUs.
- **Advanced settings → "Also show the coarse (intermediate) mesh"** reveals the coarse mesh the pipeline
  refines (viewer + GLB download) next to the final result; it is hidden by default.
- Hunyuan3D-2mini is a third-party model under the Tencent Hunyuan Community License.
- Example images come from [microsoft/TRELLIS](https://github.com/microsoft/TRELLIS) (MIT License, © Microsoft Corporation).