This model contains the pretrained weights for
LGM: Large Multi-View Gaussian Model for High-Resolution 3D Content Creation
.
Project Page
Introduction
LGM can generate 3D objects from image or text within 5 seconds at high-resolution based on Gaussian Splatting.
Model Details
The model is trained on a ~80K 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="ashawkey/LGM", filename="model_fp16_fixrot.safetensors")
Please refer to our
repo
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}
}
LGM huggingface.co is an AI model on huggingface.co that provides LGM's model effect (), which can be used instantly with this ashawkey LGM model. huggingface.co supports a free trial of the LGM model, and also provides paid use of the LGM. Support call LGM model through api, including Node.js, Python, http.
LGM huggingface.co is an online trial and call api platform, which integrates LGM's modeling effects, including api services, and provides a free online trial of LGM, you can try LGM online for free by clicking the link below.
LGM is an open source model from GitHub that offers a free installation service, and any user can find LGM on GitHub to install. At the same time, huggingface.co provides the effect of LGM install, users can directly use LGM installed effect in huggingface.co for debugging and trial. It also supports api for free installation.