The MVDream extension for threestudio. The original implementation can be found at https://github.com/bytedance/MVDream-threestudio. We thank them for their contribution to the 3D generation community. To use it, please install threestudio first and then install this extension in threestudio custom
directory.
cd custom
git clone https://github.com/DSaurus/threestudio-mvdream.git
cd threestudio-mvdream
# First install xformers (https://github.com/facebookresearch/xformers#installing-xformers)
# cuda 11.8 version
pip3 install -U xformers --index-url https://download.pytorch.org/whl/cu118
# cuda 12.1 version
# pip3 install -U xformers --index-url https://download.pytorch.org/whl/cu121
# Then install other dependencies
pip install -r requirements.txt
# MVDream without shading (memory efficient)
python launch.py --config custom/threestudio-mvdream/configs/mvdream-sd21.yaml --train --gpu 0 system.prompt_processor.prompt="an astronaut riding a horse"
# MVDream with shading (used in paper)
python launch.py --config custom/threestudio-mvdream/configs/mvdream-sd21-shading.yaml --train --gpu 0 system.prompt_processor.prompt="an astronaut riding a horse"
# resume training from the last checkpoint, you may replace last.ckpt with any other checkpoints
python launch.py --config path/to/trial/dir/configs/parsed.yaml --train --gpu 0 resume=path/to/trial/dir/ckpts/last.ckpt
# if the training has completed, you can still continue training for a longer time by setting trainer.max_steps
python launch.py --config path/to/trial/dir/configs/parsed.yaml --train --gpu 0 resume=path/to/trial/dir/ckpts/last.ckpt trainer.max_steps=20000
# you can also perform testing using resumed checkpoints
python launch.py --config path/to/trial/dir/configs/parsed.yaml --test --gpu 0 resume=path/to/trial/dir/ckpts/last.ckpt
# note that the above commands use parsed configuration files from previous trials
# which will continue using the same trial directory
# if you want to save to a new trial directory, replace parsed.yaml with raw.yaml in the command
# only load weights from saved checkpoint but dont resume training (i.e. dont load optimizer state):
python launch.py --config path/to/trial/dir/configs/parsed.yaml --train --gpu 0 system.weights=path/to/trial/dir/ckpts/last.ckpt
If you find MVDream helpful, please consider citing:
@article{shi2023MVDream,
author = {Shi, Yichun and Wang, Peng and Ye, Jianglong and Mai, Long and Li, Kejie and Yang, Xiao},
title = {MVDream: Multi-view Diffusion for 3D Generation},
journal = {arXiv:2308.16512},
year = {2023},
}