56 lines
2.0 KiB
Docker
56 lines
2.0 KiB
Docker
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ARG VARIANT=cpu
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# ---- CPU base ----
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FROM python:3.12-slim AS base-cpu
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RUN apt-get update && apt-get install -y --no-install-recommends \
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ffmpeg curl libgl1-mesa-glx libglib2.0-0 \
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&& rm -rf /var/lib/apt/lists/*
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COPY requirements-cpu.txt /tmp/requirements.txt
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RUN pip install --no-cache-dir -r /tmp/requirements.txt && rm /tmp/requirements.txt
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# ---- GPU base ----
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FROM nvidia/cuda:12.4.1-cudnn-runtime-ubuntu22.04 AS base-gpu
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RUN apt-get update && apt-get install -y --no-install-recommends \
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python3 python3-pip python3-venv \
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ffmpeg curl libgl1-mesa-glx libglib2.0-0 \
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&& ln -sf /usr/bin/python3 /usr/bin/python \
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&& rm -rf /var/lib/apt/lists/*
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COPY requirements-gpu.txt /tmp/requirements.txt
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RUN pip install --no-cache-dir --break-system-packages -r /tmp/requirements.txt && rm /tmp/requirements.txt
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# ---- Final stage ----
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FROM base-${VARIANT} AS final
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# CWD must be the FaceFusion submodule root so resolve_file_paths('facefusion/...')
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# resolves correctly (FaceFusion uses relative paths from CWD internally)
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WORKDIR /app/facefusion-src
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# Copy the FaceFusion submodule (preserving its directory structure)
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COPY facefusion/ /app/facefusion-src/
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# Copy API application code and config
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COPY app/ /app/app/
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COPY facefusion.ini /app/facefusion-src/facefusion.ini
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RUN mkdir -p /data/uploads /data/outputs /data/models /data/temp /data/jobs
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# Symlink models directory so FaceFusion's resolve_relative_path('../.assets/models/...')
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# resolves to the persistent volume (relative to facefusion/filesystem.py)
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RUN mkdir -p /app/facefusion-src/.assets && \
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ln -sf /data/models /app/facefusion-src/.assets/models
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VOLUME ["/data/uploads", "/data/outputs", "/data/models", "/data/temp", "/data/jobs"]
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ENV PYTHONPATH=/app
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EXPOSE 8000
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HEALTHCHECK --interval=30s --timeout=5s --start-period=30s --retries=3 \
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CMD curl -f http://localhost:8000/api/v1/health || exit 1
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CMD ["python", "-m", "uvicorn", "app.main:app", "--host", "0.0.0.0", "--port", "8000", "--workers", "1"]
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