Paint3D
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OpenTexture
unable to install dependencies
On Linux, I am trying to follow your exact recipe with:
- cuda 11.6
- pytorch 1.12.1
conda create -n paint3d python=3.8
conda activate
export CUDA_HOME=/usr/local/cuda-11.6
# following directions from here: https://pytorch.org/get-started/previous-versions/
conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.6 -c pytorch -c conda-forge
It fails with the following error:
$ conda install pytorch==1.12.1 torchvision==0.13.1 torchaudio==0.12.1 cudatoolkit=11.6 -c pytorch -c conda-forge
Collecting package metadata (current_repodata.json): \ WARNING conda.models.version:get_matcher(546): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.7.1.*, but conda is ignoring the .* and treating it as 1.7.1
done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Collecting package metadata (repodata.json): / WARNING conda.models.version:get_matcher(546): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.9.0.*, but conda is ignoring the .* and treating it as 1.9.0
WARNING conda.models.version:get_matcher(546): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.8.0.*, but conda is ignoring the .* and treating it as 1.8.0
WARNING conda.models.version:get_matcher(546): Using .* with relational operator is superfluous and deprecated and will be removed in a future version of conda. Your spec was 1.6.0.*, but conda is ignoring the .* and treating it as 1.6.0
done
Solving environment: failed with initial frozen solve. Retrying with flexible solve.
Solving environment: done
## Package Plan ##
environment location: /home/ubuntu/anaconda3/envs/paint3d
added / updated specs:
- cudatoolkit=11.6
- pytorch==1.12.1
- torchaudio==0.12.1
- torchvision==0.13.1
The following packages will be downloaded:
package | build
---------------------------|-----------------
blas-2.122 | mkl 14 KB conda-forge
blas-devel-3.9.0 | 22_linux64_mkl 14 KB conda-forge
brotli-python-1.1.0 | py38h17151c0_1 343 KB conda-forge
certifi-2024.7.4 | pyhd8ed1ab_0 156 KB conda-forge
cudatoolkit-11.6.2 | hfc3e2af_13 598.8 MB conda-forge
gmp-6.3.0 | hac33072_2 449 KB conda-forge
jpeg-9e | h0b41bf4_3 235 KB conda-forge
libblas-3.9.0 | 22_linux64_mkl 15 KB conda-forge
libcblas-3.9.0 | 22_linux64_mkl 14 KB conda-forge
libgfortran-ng-14.1.0 | h69a702a_0 49 KB conda-forge
libgfortran5-14.1.0 | hc5f4f2c_0 1.4 MB conda-forge
libhwloc-2.11.0 |default_h5622ce7_1000 2.3 MB conda-forge
liblapack-3.9.0 | 22_linux64_mkl 14 KB conda-forge
liblapacke-3.9.0 | 22_linux64_mkl 14 KB conda-forge
libxml2-2.12.7 | hc051c1a_1 688 KB conda-forge
llvm-openmp-18.1.7 | ha31de31_0 55.9 MB conda-forge
mkl-2024.1.0 | ha957f24_693 121.2 MB conda-forge
mkl-devel-2024.1.0 | ha770c72_693 34 KB conda-forge
mkl-include-2024.1.0 | ha957f24_693 680 KB conda-forge
numpy-1.24.4 | py38h59b608b_0 6.4 MB conda-forge
openh264-2.1.1 | h780b84a_0 1.5 MB conda-forge
pillow-9.4.0 | py38hde6dc18_1 43.8 MB conda-forge
python_abi-3.8 | 4_cp38 6 KB conda-forge
pytorch-1.12.1 |py3.8_cuda11.6_cudnn8.3.2_0 1.20 GB pytorch
tbb-2021.12.0 | h434a139_2 188 KB conda-forge
torchaudio-0.12.1 | py38_cu116 6.2 MB pytorch
torchvision-0.13.1 | py38_cu116 7.7 MB pytorch
typing_extensions-4.12.2 | pyha770c72_0 39 KB conda-forge
urllib3-2.2.2 | pyhd8ed1ab_0 93 KB conda-forge
------------------------------------------------------------
Total: 2.03 GB
The following NEW packages will be INSTALLED:
blas conda-forge/linux-64::blas-2.122-mkl
blas-devel conda-forge/linux-64::blas-devel-3.9.0-22_linux64_mkl
brotli-python conda-forge/linux-64::brotli-python-1.1.0-py38h17151c0_1
certifi conda-forge/noarch::certifi-2024.7.4-pyhd8ed1ab_0
charset-normalizer conda-forge/noarch::charset-normalizer-3.3.2-pyhd8ed1ab_0
cudatoolkit conda-forge/linux-64::cudatoolkit-11.6.2-hfc3e2af_13
ffmpeg pytorch/linux-64::ffmpeg-4.3-hf484d3e_0
freetype conda-forge/linux-64::freetype-2.12.1-h267a509_2
gmp conda-forge/linux-64::gmp-6.3.0-hac33072_2
gnutls conda-forge/linux-64::gnutls-3.6.13-h85f3911_1
icu conda-forge/linux-64::icu-73.2-h59595ed_0
idna conda-forge/noarch::idna-3.7-pyhd8ed1ab_0
jpeg conda-forge/linux-64::jpeg-9e-h0b41bf4_3
lame conda-forge/linux-64::lame-3.100-h166bdaf_1003
lcms2 conda-forge/linux-64::lcms2-2.15-hfd0df8a_0
lerc conda-forge/linux-64::lerc-4.0.0-h27087fc_0
libblas conda-forge/linux-64::libblas-3.9.0-22_linux64_mkl
libcblas conda-forge/linux-64::libcblas-3.9.0-22_linux64_mkl
libdeflate conda-forge/linux-64::libdeflate-1.17-h0b41bf4_0
libgfortran-ng conda-forge/linux-64::libgfortran-ng-14.1.0-h69a702a_0
libgfortran5 conda-forge/linux-64::libgfortran5-14.1.0-hc5f4f2c_0
libhwloc conda-forge/linux-64::libhwloc-2.11.0-default_h5622ce7_1000
libiconv conda-forge/linux-64::libiconv-1.17-hd590300_2
liblapack conda-forge/linux-64::liblapack-3.9.0-22_linux64_mkl
liblapacke conda-forge/linux-64::liblapacke-3.9.0-22_linux64_mkl
libpng conda-forge/linux-64::libpng-1.6.43-h2797004_0
libstdcxx-ng conda-forge/linux-64::libstdcxx-ng-14.1.0-hc0a3c3a_0
libtiff conda-forge/linux-64::libtiff-4.5.0-h6adf6a1_2
libwebp-base conda-forge/linux-64::libwebp-base-1.4.0-hd590300_0
libxcb conda-forge/linux-64::libxcb-1.13-h7f98852_1004
libxml2 conda-forge/linux-64::libxml2-2.12.7-hc051c1a_1
llvm-openmp conda-forge/linux-64::llvm-openmp-18.1.7-ha31de31_0
mkl conda-forge/linux-64::mkl-2024.1.0-ha957f24_693
mkl-devel conda-forge/linux-64::mkl-devel-2024.1.0-ha770c72_693
mkl-include conda-forge/linux-64::mkl-include-2024.1.0-ha957f24_693
nettle conda-forge/linux-64::nettle-3.6-he412f7d_0
numpy conda-forge/linux-64::numpy-1.24.4-py38h59b608b_0
openh264 conda-forge/linux-64::openh264-2.1.1-h780b84a_0
openjpeg conda-forge/linux-64::openjpeg-2.5.0-hfec8fc6_2
pillow conda-forge/linux-64::pillow-9.4.0-py38hde6dc18_1
pthread-stubs conda-forge/linux-64::pthread-stubs-0.4-h36c2ea0_1001
pysocks conda-forge/noarch::pysocks-1.7.1-pyha2e5f31_6
python_abi conda-forge/linux-64::python_abi-3.8-4_cp38
pytorch pytorch/linux-64::pytorch-1.12.1-py3.8_cuda11.6_cudnn8.3.2_0
pytorch-mutex pytorch/noarch::pytorch-mutex-1.0-cuda
requests conda-forge/noarch::requests-2.32.3-pyhd8ed1ab_0
tbb conda-forge/linux-64::tbb-2021.12.0-h434a139_2
torchaudio pytorch/linux-64::torchaudio-0.12.1-py38_cu116
torchvision pytorch/linux-64::torchvision-0.13.1-py38_cu116
typing_extensions conda-forge/noarch::typing_extensions-4.12.2-pyha770c72_0
urllib3 conda-forge/noarch::urllib3-2.2.2-pyhd8ed1ab_0
xorg-libxau conda-forge/linux-64::xorg-libxau-1.0.11-hd590300_0
xorg-libxdmcp conda-forge/linux-64::xorg-libxdmcp-1.1.3-h7f98852_0
zlib conda-forge/linux-64::zlib-1.2.13-h4ab18f5_6
zstd conda-forge/linux-64::zstd-1.5.6-ha6fb4c9_0
The following packages will be DOWNGRADED:
_openmp_mutex 4.5-2_gnu --> 4.5-2_kmp_llvm
libzlib 1.3.1-h4ab18f5_1 --> 1.2.13-h4ab18f5_6
Proceed ([y]/n)? y
Downloading and Extracting Packages
InvalidArchiveError('Error with archive /home/ubuntu/anaconda3/pkgs/llvm-openmp-18.1.7-ha31de31_0.conda. You probably need to delete and re-download or re-create this file. Message was:\n\nfailed with error: File is not a zip file')
Any suggestions on this? Or, are there any tips on how to get the right version of pytorch, compiled with the right version of cuda?
Try the following. It worked for me.
# update the path and hugging face API key
export WORKSPACE_DIR=/your/workspace/dir
export LD_LIBRARY_PATH=/usr/local/cuda/lib64/
cd $WORKSPACE_DIR/repos
git clone https://github.com/OpenTexture/Paint3D.git
cd $WORKSPACE_DIR/repos/Paint3D/
conda create -y -n paint3d python=3.8.5
conda activate paint3d
export LD_LIBRARY_PATH=/usr/local/cuda/lib64/
pip3 install torch==2.0.0 torchvision==0.15.1 torchaudio==2.0.1 --index-url https://download.pytorch.org/whl/cu118
pip3 install kaolin==0.14.0 -f https://nvidia-kaolin.s3.us-east-2.amazonaws.com/torch-2.0.0_cu118.html
pip3 install albumentations==1.3.0
pip3 install opencv-python==4.6.0.66
pip3 install imageio==2.9.0
pip3 install imageio-ffmpeg==0.4.2
pip3 install pytorch-lightning==1.4.2
pip3 install omegaconf==2.1.1
pip3 install test-tube>=0.7.5
pip3 install streamlit==1.12.1
pip3 install einops==0.3.0
pip3 install transformers==4.27.1
pip3 install webdataset==0.2.5
pip3 install kornia==0.6
pip3 install open_clip_torch==2.0.2
pip3 install invisible-watermark>=0.1.5
pip3 install streamlit-drawable-canvas==0.8.0
pip3 install torchmetrics==0.6.0
pip3 install diffusers==0.25.0
pip3 install accelerate==0.29.2
pip3 install loguru==0.7.2
pip3 install trimesh==3.20.2
pip3 install xatlas==0.0.7
pip3 install "huggingface_hub[cli]"
python3 -c "from huggingface_hub.hf_api import HfFolder; HfFolder.save_token('Your hugging face api key')"
python pipeline_paint3d_stage1.py --sd_config controlnet/config/depth_based_inpaint_template.yaml --render_config paint3d/config/train_config_paint3d.py --mesh_path demo/objs/Suzanne_monkey/Suzanne_monkey.obj --outdir outputs/stage1
python pipeline_paint3d_stage2.py --sd_config controlnet/config/UV_based_inpaint_template.yaml --render_config paint3d/config/train_config_paint3d.py --mesh_path demo/objs/Suzanne_monkey/Suzanne_monkey.obj --texture_path outputs/stage1/res-0/albedo.png --outdir outputs/stage2
python pipeline_UV_only.py --sd_config controlnet/config/UV_gen_template.yaml --render_config paint3d/config/train_config_paint3d.py --mesh_path demo/objs/teapot/scene.obj --outdir outputs/test_teapot
python pipeline_paint3d_stage1.py --sd_config controlnet/config/depth_based_inpaint_template.yaml --render_config paint3d/config/train_config_paint3d.py --mesh_path demo/objs/Suzanne_monkey/Suzanne_monkey.obj --prompt " " --ip_adapter_image_path demo/objs/Suzanne_monkey/img_prompt.png --outdir outputs/img_stage1
python pipeline_paint3d_stage2.py --sd_config controlnet/config/UV_based_inpaint_template.yaml --render_config paint3d/config/train_config_paint3d.py --mesh_path demo/objs/Suzanne_monkey/Suzanne_monkey.obj --texture_path outputs/img_stage1/res-0/albedo.png --prompt " " --ip_adapter_image_path demo/objs/Suzanne_monkey/img_prompt.png --outdir outputs/img_stage2
conda deactivate
