Instructions to use microsoft/TRELLIS-image-large with libraries, inference providers, notebooks, and local apps. Follow these links to get started.
- Libraries
- Trellis
How to use microsoft/TRELLIS-image-large with Trellis:
# No code snippets available yet for this library. # To use this model, check the repository files and the library's documentation. # Want to help? PRs adding snippets are welcome at: # https://github.com/huggingface/huggingface.js
- Notebooks
- Google Colab
- Kaggle
Results for TRELLIS on living organisms (blind human votes, with reference photos)
I run Taxon3D, a blind pairwise arena where people compare two anonymised 3D models of a named
organism, with CC-licensed photos of the real thing beside them. TRELLIS 2 is currently in the
top tier of the image-to-3D board: Bradley-Terry score 1067, 95% interval 995 to 1137, over 51
head-to-head games. Its record against every opponent it has met is here:
https://taxon3d.org/models/replicate:trellis2?c=hf-trellis
Every task ships the input photo, so you can see exactly what the model was given. The set is
plants, fungi and animals, which are harder than props: thin surfaces, branching, self-occlusion.
Two things that might be useful here: the failure modes are visible per task, so you can see
which organisms it struggles with, and if a newer checkpoint exists I will run it on the same
tasks. Code is MIT and the votes are published on Hugging Face.
Happy to answer questions about the protocol.