// AI news · 2026-11-12 · Hugging Face Blog
Hugging Face Releases Fine-Tuning Guide for TRELLIS.2
Hugging Face provides fine-tuning scripts and containers for TRELLIS.2, a 3D generation model, enabling local or cloud-based training.
Published 2026-11-12 08:00 (Beijing time)Source Hugging Face BlogAuto-summarised, fact-checked against source
01Summary
The model uses a unified latent representation to support diverse output formats. To improve accuracy on specific tasks like footwear geometry, LoRA adapters are applied to key stages—sparse structure and shape generation—while keeping other components frozen. Training leverages the GSO dataset and requires access to DINOv3 via Hugging Face account.
Summarised from the original article by an open-source model, then checked automatically: every number and English name must appear in the source. The original article is authoritative.
02Key points
- TRELLIS.2 uses unified latent representation for multi-format 3D output.
- LoRA adapters are applied to structure and shape generation stages only.
- GSO dataset with 188 footwear objects is used to improve geometry accuracy.
- Training requires DINOv3 access and a HF_TOKEN for authentication.
03Source
The Definitive Fine-Tuning Guide for 3D Generation Models
Hugging Face Blog · published 2026-11-12 08:00 Beijing time
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