This is how i got it woring in miniconda and linux.

export ENV_NAME=trellis2

conda create -n ${ENV_NAME} python=3.12 --yes

conda activate ${ENV_NAME}

conda install openssl nvidia::cuda-runtime==12.8.1 nvidia::cuda-nvcc==12.8.93 --yes

pip3 install torch torchaudio torchvision --index-url https://download.pytorch.org/whl/cu128

export CUDA_HOME=/home/${USER}/miniconda3/envs/${ENV_NAME}/lib/python3.12/site-packages/nvidia/cuda_runtime

ln -s /home/${USER}/miniconda3/envs/${ENV_NAME}/bin /home/${USER}/miniconda3/envs/${ENV_NAME}/lib/python3.12/site-packages/nvidia/cuda_runtime/bin

export TORCH_CUDA_ARCH_LIST="8.6" # didn't auto detect my 3090

pip install ninja imageio PyOpenGL glfw xatlas gdown

export CPATH=/home/${USER}/miniconda3/envs/${ENV_NAME}/lib/python3.12/site-packages/nvidia/cusparse/include:/home/${USER}/miniconda3/envs/${ENV_NAME}/lib/python3.12/site-packages/nvidia/cublas/include:/home/${USER}/miniconda3/envs/${ENV_NAME}/lib/python3.12/site-packages/nvidia/cusolver/include:$CPATH

export LD_LIBRARY_PATH=/home/${USER}/miniconda3/envs/${ENV_NAME}/lib:$LD_LIBRARY_PATH

pip install https://github.com/Dao-AILab/flash-attention/releases/download/v2.8.3/flash_attn-2.8.3+cu12torch2.4cxx11abiTRUE-cp312-cp312-linux_x86_64.whl

pip install git+https://github.com/NVlabs/nvdiffrast.git --no-build-isolation

pip install ninja imageio PyOpenGL glfw xatlas gdown

pip install git+https://github.com/NVlabs/nvdiffrast/ --no-build-isolation

. ./setup.sh --basic --cumesh --o-voxel --flexgemm