facefusion-api/Dockerfile

ARG VARIANT=cpu

# ---- CPU base ----
FROM python:3.12-slim AS base-cpu

RUN apt-get update && apt-get install -y --no-install-recommends \
    ffmpeg curl libgl1-mesa-glx libglib2.0-0 \
    && rm -rf /var/lib/apt/lists/*

COPY requirements-cpu.txt /tmp/requirements-cpu.txt
COPY requirements.txt /tmp/requirements.txt
RUN pip install --no-cache-dir -r /tmp/requirements-cpu.txt && rm /tmp/requirements*.txt

# ---- GPU base ----
FROM nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04 AS base-gpu

ENV DEBIAN_FRONTEND=noninteractive

RUN apt-get update && apt-get install -y --no-install-recommends \
    software-properties-common \
    && add-apt-repository ppa:deadsnakes/ppa \
    && apt-get update \
    && apt-get install -y --no-install-recommends \
    python3.12 python3.12-venv python3.12-dev \
    ffmpeg curl libgl1-mesa-glx libglib2.0-0 \
    && ln -sf /usr/bin/python3.12 /usr/bin/python3 \
    && ln -sf /usr/bin/python3 /usr/bin/python \
    && python3 -m ensurepip --upgrade \
    && python3 -m pip install --no-cache-dir --upgrade pip \
    && rm -rf /var/lib/apt/lists/*

COPY requirements-gpu.txt /tmp/requirements-gpu.txt
COPY requirements.txt /tmp/requirements.txt
RUN pip install --no-cache-dir -r /tmp/requirements-gpu.txt && rm /tmp/requirements*.txt

# ---- Final stage ----
FROM base-${VARIANT} AS final

# CWD must be the FaceFusion submodule root so resolve_file_paths('facefusion/...')
# resolves correctly (FaceFusion uses relative paths from CWD internally)
WORKDIR /app/facefusion-src

# Copy the FaceFusion submodule (preserving its directory structure)
COPY facefusion/ /app/facefusion-src/

# Copy API application code and config
COPY app/ /app/app/
COPY facefusion.ini /app/facefusion-src/facefusion.ini

RUN mkdir -p /data/uploads /data/outputs /data/models /data/temp /data/jobs

# Symlink models directory so FaceFusion's resolve_relative_path('../.assets/models/...')
# resolves to the persistent volume (relative to facefusion/filesystem.py)
RUN mkdir -p /app/facefusion-src/.assets && \
    ln -sf /data/models /app/facefusion-src/.assets/models

VOLUME ["/data/uploads", "/data/outputs", "/data/models", "/data/temp", "/data/jobs"]

ENV PYTHONPATH=/app

EXPOSE 8000

HEALTHCHECK --interval=30s --timeout=5s --start-period=30s --retries=3 \
    CMD curl -f http://localhost:8000/api/v1/health || exit 1

CMD ["python", "-m", "uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "1"]