mirror of
https://github.com/RVC-Boss/GPT-SoVITS.git
synced 2025-08-24 13:39:48 +08:00
54 lines
1.3 KiB
Docker
54 lines
1.3 KiB
Docker
ARG CUDA_VERSION=124
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ARG CUDA_BASE=runtime
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FROM xxxxrt666/cuda-base:cu${CUDA_VERSION}-${CUDA_BASE}
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LABEL maintainer="XXXXRT"
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LABEL version="V4"
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LABEL description="Docker image for GPT-SoVITS"
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ARG CUDA_VERSION=12.4
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ENV CUDA_VERSION=${CUDA_VERSION}
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WORKDIR /workspace/GPT-SoVITS
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COPY . /workspace/GPT-SoVITS
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ARG LITE=false
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ENV LITE=${LITE}
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ARG WORKFLOW=false
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ENV WORKFLOW=${WORKFLOW}
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ARG TARGETPLATFORM
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ENV TARGETPLATFORM=${TARGETPLATFORM}
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ENV HOME="/root"
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RUN bash Docker/anaconda_install.sh
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ENV PATH="$HOME/anaconda3/bin:$PATH"
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SHELL ["/bin/bash", "-c"]
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ENV PATH="/usr/local/cuda/bin:$PATH"
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ENV CUDA_HOME="/usr/local/cuda"
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ENV MAKEFLAGS="-j$(nproc)"
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RUN bash Docker/setup.sh
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EXPOSE 9871 9872 9873 9874 9880
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ENV PYTHONPATH="/workspace/GPT-SoVITS"
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RUN conda init bash && echo "conda activate base" >> ~/.bashrc
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CMD ["/bin/bash", "-c", "\
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rm -rf /workspace/GPT-SoVITS/GPT_SoVITS/pretrained_models && \
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rm -rf /workspace/GPT-SoVITS/tools/asr/models && \
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rm -rf /workspace/GPT-SoVITS/tools/uvr5/uvr5_weights && \
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ln -s /workspace/model/pretrained_models /workspace/GPT-SoVITS/GPT_SoVITS/pretrained_models && \
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ln -s /workspace/model/models /workspace/GPT-SoVITS/tools/asr/models && \
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ln -s /workspace/model/uvr5_weights /workspace/GPT-SoVITS/tools/uvr5/uvr5_weights && \
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exec bash"] |