Add Dockerfile
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FROM nvidia/cuda:12.1.1-cudnn8-devel-ubuntu22.04
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# Configure environment
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ENV DEBIAN_FRONTEND=noninteractive \
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PIP_PREFER_BINARY=1 \
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CUDA_HOME=/usr/local/cuda-12.1 \
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TORCH_CUDA_ARCH_LIST="8.6"
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# Redirect shell
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RUN rm /bin/sh && ln -s /bin/bash /bin/sh
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# Install prereqs
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RUN apt-get update && apt-get install -y --no-install-recommends \
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curl \
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git-lfs \
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ffmpeg \
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libgl1-mesa-dev \
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libglib2.0-0 \
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git \
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python3-dev \
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python3-pip \
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# Lunar Tools prereqs
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libasound2-dev \
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libportaudio2 \
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&& apt clean && rm -rf /var/lib/apt/lists/* \
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&& ln -s /usr/bin/python3 /usr/bin/python
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# Set symbolic links
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RUN echo "export PATH=/usr/local/cuda/bin:$PATH" >> /etc/bash.bashrc \
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&& echo "export LD_LIBRARY_PATH=/usr/local/cuda/lib64:$LD_LIBRARY_PATH" >> /etc/bash. bashrc \
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&& echo "export CUDA_HOME=/usr/local/cuda-12.1" >> /etc/bash.bashrc
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# Install Python packages: Basic, then CUDA-compatible, then custom
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RUN pip3 install \
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wheel \
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ninja && \
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pip3 install \
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torch==2.1.0 \
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torchvision==0.16.0 \
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xformers>=0.0.22 \
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triton>=2.1.0 \
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--index-url https://download.pytorch.org/whl/cu121 && \
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pip3 install git+https://github.com/lunarring/latentblending \
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git+https://github.com/chengzeyi/stable-fast.git@main#egg=stable-fast
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# Optionally store weights in image
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# RUN mkdir -p /root/.cache/torch/hub/checkpoints/ && curl -o /root/.cache/torch/hub/checkpoints//alexnet-owt-7be5be79.pth https://download.pytorch.org/models/alexnet-owt-7be5be79.pth
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# RUN git lfs install && git clone https://huggingface.co/stabilityai/sdxl-turbo /sdxl-turbo
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# Clone base repo because why not
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RUN git clone https://github.com/lunarring/latentblending.git
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