101 lines
3.8 KiB
Docker
101 lines
3.8 KiB
Docker
# get the development image from nvidia cuda 12.4 (using devel for full CUDA toolkit)
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FROM nvidia/cuda:12.4.1-devel-ubuntu22.04
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LABEL name="hunyuan3d21" maintainer="hunyuan3d21"
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# create workspace folder and set it as working directory
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RUN mkdir -p /workspace
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WORKDIR /workspace
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# update package lists and install git, wget, vim, libegl1-mesa-dev, and libglib2.0-0
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RUN apt-get update && apt-get install -y build-essential git wget vim libegl1-mesa-dev libglib2.0-0 unzip git-lfs
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RUN apt-get update && DEBIAN_FRONTEND=noninteractive apt-get install -y --no-install-recommends pkg-config libglvnd0 libgl1 libglx0 libegl1 libgles2 libglvnd-dev libgl1-mesa-dev libegl1-mesa-dev libgles2-mesa-dev cmake curl mesa-utils-extra libxrender1
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# Install additional dependencies for compilation
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RUN apt-get install -y libeigen3-dev python3-dev python3-setuptools libcgal-dev
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ENV PYTHONDONTWRITEBYTECODE=1
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ENV PYTHONUNBUFFERED=1
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ENV LD_LIBRARY_PATH=/usr/lib64:$LD_LIBRARY_PATH
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ENV PYOPENGL_PLATFORM=egl
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# Set CUDA environment variables
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ENV CUDA_HOME=/usr/local/cuda
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ENV PATH=${CUDA_HOME}/bin:${PATH}
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ENV LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}
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ENV TORCH_CUDA_ARCH_LIST="6.0;6.1;7.0;7.5;8.0;8.6;8.9;9.0"
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# install conda
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RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
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chmod +x Miniconda3-latest-Linux-x86_64.sh && \
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./Miniconda3-latest-Linux-x86_64.sh -b -p /workspace/miniconda3 && \
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rm Miniconda3-latest-Linux-x86_64.sh
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# update PATH environment variable
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ENV PATH="/workspace/miniconda3/bin:${PATH}"
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# initialize conda
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RUN conda init bash
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# create and activate conda environment
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RUN conda create -n hunyuan3d21 python=3.10 && echo "source activate hunyuan3d21" > ~/.bashrc
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ENV PATH="/workspace/miniconda3/envs/hunyuan3d21/bin:${PATH}"
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# Set conda to always auto-approve
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RUN conda config --set always_yes true
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RUN conda install Ninja
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RUN conda install cuda -c nvidia/label/cuda-12.4.1 -y
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# Update libstdcxx-ng to fix compatibility issues (auto-confirm)
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RUN conda install -c conda-forge libstdcxx-ng -y
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RUN pip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/cu124
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# Clone Hunyuan3D-2.1 repository
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RUN git clone https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1.git
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# Remove Chinese mirror sources and torchdiffeq from requirements.txt
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RUN cd /workspace/Hunyuan3D-2.1 && \
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sed -i '/--extra-index-url https:\/\/mirrors\.cloud\.tencent\.com\/pypi\/simple\//d' requirements.txt && \
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sed -i '/--extra-index-url https:\/\/mirrors\.aliyun\.com\/pypi\/simple/d' requirements.txt
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# Install Python dependencies from modified requirements.txt
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RUN pip install -r Hunyuan3D-2.1/requirements.txt
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# Install custom_rasterizer
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RUN cd /workspace/Hunyuan3D-2.1/hy3dpaint/custom_rasterizer && \
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# Set compilation environment variables
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export TORCH_CUDA_ARCH_LIST="6.0;6.1;7.0;7.5;8.0;8.6;8.9;9.0" && \
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export CUDA_NVCC_FLAGS="-allow-unsupported-compiler" && \
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# Install with editable mode
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pip install -e .
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# Install DifferentiableRenderer
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RUN cd /workspace/Hunyuan3D-2.1/hy3dpaint/DifferentiableRenderer && \
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bash compile_mesh_painter.sh
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RUN cd /workspace/Hunyuan3D-2.1 && \
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wget https://github.com/xinntao/Real-ESRGAN/releases/download/v0.1.0/RealESRGAN_x4plus.pth -P ckpt
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# Set working directory to the cloned repository
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WORKDIR /workspace/Hunyuan3D-2.1
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# Set global library paths to ensure proper linking at runtime
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ENV LD_LIBRARY_PATH="/workspace/miniconda3/envs/hunyuan3d21/lib:${LD_LIBRARY_PATH}"
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RUN apt-get install -y libxi6 libgconf-2-4 libxkbcommon-x11-0 libsm6 libxext6 libxrender-dev
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# Activate conda environment by default
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RUN echo "conda activate hunyuan3d21" >> ~/.bashrc
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SHELL ["/bin/bash", "--login", "-c"]
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# Cleanup
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RUN rm -f /workspace/*.zip && \
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apt-get clean && \
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rm -rf /var/lib/apt/lists/*
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# Set default command
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CMD ["/bin/bash"]
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