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Hugging Face Publishes a TRELLIS.2 Fine-Tuning Guide for 3D Footwear

1 reports 1 reporting sources first reported Updated 1 day ago

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Hugging Face published scripts, Docker containers, and a walkthrough for fine-tuning TRELLIS.2 on custom 3D assets, either locally or with Hugging Face Jobs. In an experiment on 188 footwear objects from Google Scanned Objects, the authors added LoRA adapters to the sparse-structure and shape diffusion transformers while keeping the texture transformer frozen. On nine held-out objects, the adapters raised mean F-score from 0.276 to 0.803 and lowered Chamfer distance from 0.174 to 0.033. The guide requires Hugging Face account access to DINOv3, a gated model. Users supplying their own dataset must upload its meshes to the Hub before starting.

Generated by AI from reports · Updated 11 hours ago

Latest development11/12 08:00 (UTC+8)
A Guide to Fine-Tuning TRELLIS.2 for 3D Footwear GenerationHugging Face Blog

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11/12
  1. Hugging Face BlogPicks
    A Guide to Fine-Tuning TRELLIS.2 for 3D Footwear Generation

    Hugging Face provides scripts and Docker containers for fine-tuning TRELLIS.2 on custom 3D assets locally or with Hugging Face Jobs. In an experiment using 188 footwear objects from Google Scanned Objects, the authors added LoRA adapters to the sparse-structure and shape DiTs while freezing the texture DiT. On nine held-out objects, the adapters improved the mean F-score from 0.276 to 0.803 and reduced Chamfer distance from 0.174 to 0.033.

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