Dockerfile

# FramePack-FastAPI with External Model Mount

FROM nvidia/cuda:12.1-devel-ubuntu22.04

# Install system dependencies
RUN apt-get update && apt-get install -y \
    python3.10 \
    python3.10-dev \
    python3-pip \
    curl \
    git \
    build-essential \
    libgl1-mesa-glx \
    libglib2.0-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    libgomp1 \
    ffmpeg \
    && rm -rf /var/lib/apt/lists/*

# Create symlink for python
RUN ln -s /usr/bin/python3.10 /usr/bin/python

# Install uv
COPY --from=ghcr.io/astral-sh/uv:latest /uv /bin/uv

# Set working directory
WORKDIR /app

# Copy dependency files
COPY pyproject.toml requirements.txt ./

# Create virtual environment and install dependencies
RUN uv venv /opt/venv
ENV PATH="/opt/venv/bin:$PATH"

# Install Python dependencies
RUN uv pip install --no-cache -r requirements.txt

# Copy application code
COPY . .

# Create necessary directories
RUN mkdir -p outputs/images temp_queue_images loras

# Create model mount points
RUN mkdir -p /app/hf_download
VOLUME ["/app/hf_download"]

# Set environment variables
ENV PYTHONPATH="/app:$PYTHONPATH"
ENV PYTHONUNBUFFERED=1
ENV HF_HOME="/app/hf_download"
ENV TRANSFORMERS_CACHE="/app/hf_download"
ENV HF_DATASETS_CACHE="/app/hf_download"

# Expose port
EXPOSE 8000

# Health check
HEALTHCHECK --interval=30s --timeout=30s --start-period=5s --retries=3 \
    CMD curl -f http://localhost:8000/docs || exit 1

# Start command
CMD ["uvicorn", "api.api:app", "--host", "0.0.0.0", "--port", "8000"]