PLSR Models

PLSR progressively refines the geometry and PBR materials of coarse 3D objects using reference images. This repository contains two models built on TRELLIS.2:

Model	Purpose	Weights
Shape	Geometry super-resolution	shape/shape_adapter.safetensors
PBR	Material super-resolution	pbr/pbr_adapter.safetensors

Each weight file contains the trained LoRA and PLSR extension parameters. The corresponding shape/config.json and pbr/config.json define the model architecture and inference parameters. pipeline.json specifies the component paths and their TRELLIS.2 base weights.

The PLSR pipeline loads the TRELLIS.2 base weights, then applies these adapters. TRELLIS.2 and DINOv3 are loaded from their own repositories.

Load from local directories

Install the PLSR inference code and its dependencies, then download this model repository and the TRELLIS.2 and DINOv3 repositories. Use their local directories:

from plsr import PLSRPipeline

pipeline = PLSRPipeline.from_pretrained(
    "/path/to/PLSR_release",
    trellis2_repo_id="/path/to/TRELLIS.2-4B",
    dino_repo_id="/path/to/dinov3-vitl16-pretrain-lvd1689m",
)

Each path points to the root of a downloaded Hugging Face repository. The TRELLIS.2 and DINOv3 arguments also accept Hugging Face repo IDs: microsoft/TRELLIS.2-4B and facebook/dinov3-vitl16-pretrain-lvd1689m.

For installation instructions and inference examples, see the PLSR code repository.