Update README.md

README.md

@@ -3,10 +3,44 @@ license: mit
 pipeline_tag: text-to-3d
 tags:
 - image-to-3d
+- text-to-3d
 ---
 
 # LGM
 
 This model contains the pretrained weights for *LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation*.
 
-[Project Page](https://me.kiui.moe/lgm/) | [Arxiv](https://arxiv.org/abs/2402.05054)
+### [Project Page](https://me.kiui.moe/lgm/) | [Arxiv](https://arxiv.org/abs/2402.05054) | [Weights](https://huggingface.co/ashawkey/LGM)
+
+
+## Introduction
+LGM can generate 3D objects from image or text within 5 seconds at high-resolution based on Gaussian Splatting.
+
+<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/63367f9a9895307563659be6/9CVJZ5ZXkhheDPKl3M0pM.mp4"></video>
+
+<video controls autoplay src="https://cdn-uploads.huggingface.co/production/uploads/63367f9a9895307563659be6/6DM_hNEDLRJOz95pgVjek.mp4"></video>
+
+
+## Model Details
+The model is trained on a ~80K 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="ashawkey/LGM", filename="model_fp16.safetensors")
+```
+Please refer to our [repo](https://github.com/3DTopia/LGM) for more details on loading and inference.
+
+## Citation
+
+```
+@article{tang2024lgm,
+  title={LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation},
+  author={Tang, Jiaxiang and Chen, Zhaoxi and Chen, Xiaokang and Wang, Tengfei and Zeng, Gang and Liu, Ziwei},
+  journal={arXiv preprint arXiv:2402.05054},
+  year={2024}
+}
+```