Dockerfile

# 1. 使用与 README 要求一致的 PyTorch 版本
FROM pytorch/pytorch:2.4.1-cuda12.1-cudnn9-devel

# 设置非交互式安装
ENV DEBIAN_FRONTEND=noninteractive

# 2. 安装系统依赖
RUN apt-get update && apt-get install -y \
    git \
    git-lfs \
    ffmpeg \
    libgl1-mesa-glx \
    libglib2.0-0 \
    && rm -rf /var/lib/apt/lists/*

# 设置工作目录
WORKDIR /app

# 3. 克隆仓库
RUN git clone https://github.com/MeiGen-AI/InfiniteTalk.git

# 进入仓库目录
WORKDIR /app/InfiniteTalk

# 4. 安装 Python 依赖 (关键修改在这里！！！)
RUN pip install --no-cache-dir --upgrade pip

# 确保安装了编译工具 (ninja, packaging 等)
RUN pip install --no-cache-dir ninja packaging wheel setuptools

# 【核心修复】加上 --no-build-isolation
# 这样它就能找到镜像里自带的 torch 了
RUN pip install --no-cache-dir --no-build-isolation flash_attn==2.7.4.post1

# 继续安装其他依赖
RUN pip install -U xformers==0.0.28 --index-url https://download.pytorch.org/whl/cu121
RUN pip install --no-cache-dir misaki[en] psutil
RUN pip install --no-cache-dir -r requirements.txt
RUN pip install --no-cache-dir gradio huggingface_hub

# 5. 设置权限
RUN useradd -m -u 1000 user
RUN chown -R user:user /app
USER user

# 6. 环境变量
ENV GRADIO_SERVER_NAME="0.0.0.0"

# 7. 复制启动脚本 (确保你有 run.py)
COPY --chown=user:user run.py /app/InfiniteTalk/run.py

# 8. 启动
CMD ["python", "run.py"]