Create README.md

README.md

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+---
+license: apache-2.0
+pipeline_tag: text-to-3d
+tags:
+- text-to-3d
+- image-to-3d
+---
+
+# 3DTopia-XL
+
+This repo contains the pretrained weights for *3DTopia-XL: Scaling High-quality 3D Asset Generation via Primitive Diffusion*.
+
+### [Project Page]() | [Arxiv](https://arxiv.org/abs/xxxx.xxxxx) | [Weights](https://huggingface.co/FrozenBurning/3DTopia-XL)
+
+
+## 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.
+
+<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/62fc8cf7ee999004b5a8b982/f1F1He3lqsBeRq38sX8ev.mp4"></video>
+
+## Model Details
+The model is trained on a ~256K subset of [Objaverse](https://huggingface.co/datasets/allenai/objaverse).
+For more details, please refer to our paper.
+
+## Usage
+
+To download the model:
+```python
+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](https://github.com/3DTopia/3DTopia-XL) for more details on loading and inference.