metadata

license: apache-2.0
pipeline_tag: image-to-3d
tags:
  - text-to-3d
  - image-to-3d
datasets:
  - fka/awesome-chatgpt-prompts
language:
  - aa
metrics:
  - accuracy
base_model: microsoft/Phi-3.5-MoE-instruct
library_name: diffusers

3DTopia-XL

This repo contains the pretrained weights for 3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion.

Project Page | Arxiv | Weights | Code

Introduction

3DTopia-XL scales high-quality 3D asset generation using Diffusion Transformer (DiT) built upon an expressive and efficient 3D representation, PrimX. The denoising process takes 5 seconds to generate a 3D PBR asset from text/image input which is ready for the graphics pipeline to use.

Model Details

The model is trained on a ~256K subset of Objaverse. For more details, please refer to our paper.

Usage

To download the model:

from huggingface_hub import hf_hub_download
ckpt_path = hf_hub_download(repo_id="frozenburning/3DTopia-XL", filename="model_sview_dit_fp16.pt")
vae_ckpt_path = hf_hub_download(repo_id="frozenburning/3DTopia-XL", filename="model_vae_fp16.pt")

Please refer to our repo for more details on loading and inference.