Dockerfile

ARG CUDA_VERSION=12.4.1

FROM nvidia/cuda:${CUDA_VERSION}-runtime-ubuntu22.04

ARG CUDA_VERSION

RUN apt-get update && apt-get install -y \
    python3 python3-pip git ffmpeg wget curl && \
    pip3 install --upgrade pip

WORKDIR /app

# This allows caching pip install if only code has changed
COPY requirements.txt .

# Install dependencies
RUN pip3 install --no-cache-dir -r requirements.txt
RUN export CUDA_SHORT_VERSION=$(echo "${CUDA_VERSION}" | sed 's/\.//g' | cut -c 1-3) && \
    pip3 install --force-reinstall --no-cache-dir torch torchvision torchaudio --index-url "https://download.pytorch.org/whl/cu${CUDA_SHORT_VERSION}"

# Copy the source code to /app
COPY . .

VOLUME [ "/app/.framepack", "/app/outputs", "/app/loras", "/app/hf_download", "/app/modules/toolbox/model_esrgan", "/app/modules/toolbox/model_rife" ]

EXPOSE 7860

CMD ["python3", "studio.py"]