installing dreamfusion on ubuntu wsl windows

Follow the instructions here:

threestudioでProlificDreamerを動かす (zenn.dev)

I used conda:

(base) andy@andys-pc:~$ conda activate newtest
(newtest) andy@andys-pc:~$ python –version
Python 3.11.8
(newtest) andy@andys-pc:~$ pip –version
pip 24.0 from /home/andy/miniconda3/envs/newtest/lib/python3.11/site-packages/pip (python 3.11)

(newtest) andy@andys-pc:~$ gcc -v
Using built-in specs.
COLLECT_GCC=gcc
COLLECT_LTO_WRAPPER=/usr/lib/gcc/x86_64-linux-gnu/11/lto-wrapper
OFFLOAD_TARGET_NAMES=nvptx-none:amdgcn-amdhsa
OFFLOAD_TARGET_DEFAULT=1
Target: x86_64-linux-gnu
Configured with: ../src/configure -v –with-pkgversion=’Ubuntu 11.4.0-1ubuntu1~22.04′ –with-bugurl=file:///usr/share/doc/gcc-11/README.Bugs –enable-languages=c,ada,c++,go,brig,d,fortran,objc,obj-c++,m2 –prefix=/usr –with-gcc-major-version-only –program-suffix=-11 –program-prefix=x86_64-linux-gnu- –enable-shared –enable-linker-build-id –libexecdir=/usr/lib –without-included-gettext –enable-threads=posix –libdir=/usr/lib –enable-nls –enable-bootstrap –enable-clocale=gnu –enable-libstdcxx-debug –enable-libstdcxx-time=yes –with-default-libstdcxx-abi=new –enable-gnu-unique-object –disable-vtable-verify –enable-plugin –enable-default-pie –with-system-zlib –enable-libphobos-checking=release –with-target-system-zlib=auto –enable-objc-gc=auto –enable-multiarch –disable-werror –enable-cet –with-arch-32=i686 –with-abi=m64 –with-multilib-list=m32,m64,mx32 –enable-multilib –with-tune=generic –enable-offload-targets=nvptx-none=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-nvptx/usr,amdgcn-amdhsa=/build/gcc-11-XeT9lY/gcc-11-11.4.0/debian/tmp-gcn/usr –without-cuda-driver –enable-checking=release –build=x86_64-linux-gnu –host=x86_64-linux-gnu –target=x86_64-linux-gnu –with-build-config=bootstrap-lto-lean –enable-link-serialization=2
Thread model: posix
Supported LTO compression algorithms: zlib zstd
gcc version 11.4.0 (Ubuntu 11.4.0-1ubuntu1~22.04)

I commented out tinycudann in the requirements.txt, installed everything else then installed tiny-cuda-nn by commenting it back in.

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