Dockerfile

FROM debian:bullseye-slim
ENV NVIDIA_VISIBLE_DEVICES all
ENV NVIDIA_DRIVER_CAPABILITIES compute,utility
ENV NVIDIA_REQUIRE_CUDA "cuda>=8.0"
ENV LD_LIBRARY_PATH=/usr/local/cuda-11.8/targets/x86_64-linux/lib:/usr/local/cuda-11.8/targets/x86_64-linux/include:/usr/local/cuda/include:/usr/local/cuda-11.8:/usr/local/cuda/lib:/usr/local/cuda/lib64:$LD_LIBRARY_PATH

RUN apt-get update && apt-get install -y gnupg2 curl

RUN curl -fsSL https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64/7fa2af80.pub | gpg --dearmor -o /usr/share/keyrings/cuda-archive-keyring.gpg

# Add the NVIDIA repository to the APT sources list
RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/cuda/repos/ubuntu1804/x86_64/3bf863cc.pub

RUN apt-key adv --fetch-keys https://developer.download.nvidia.com/compute/machine-learning/repos/ubuntu1804/x86_64/7fa2af80.pub

RUN echo "deb https://developer.download.nvidia.com/compute/cuda/repos/debian11/x86_64 /" > /etc/apt/sources.list.d/cuda.list

# Install FFmpeg

RUN apt-get update && \
    apt-get install -y python3-pip ffmpeg libcublas-11-8 libcudnn8=8.6.0.163-1+cuda11.8
    #libcudnn8=8.8.0.121-1+cuda11.8

USER root

ARG DEBIAN_FRONTEND=noninteractive

LABEL github_repo="https://github.com/SWivid/F5-TTS"

RUN set -x \
    && apt-get update \
    && apt-get -y install wget curl man git less openssl libssl-dev unzip unar build-essential aria2 tmux vim \
    && apt-get install -y openssh-server sox libsox-fmt-all libsox-fmt-mp3 libsndfile1-dev ffmpeg \
    && rm -rf /var/lib/apt/lists/* \
    && apt-get clean

WORKDIR /workspace

RUN git clone https://github.com/SWivid/F5-TTS.git \
    && cd F5-TTS \
    && pip install -e .[eval]

ENV SHELL=/bin/bash

WORKDIR /workspace/F5-TTS