Files
ubuntu-post-install/vendor/paintplus/Dockerfile.gpu
T
Claude b2d064573f Move ai-stack and paintplus vendored source under vendor/
Matches the existing vendor/easy-asterisk convention (used by
services/asterisk.sh) instead of two one-off top-level directories that
cluttered the repo root and didn't look like anything else next to
setup.sh, lib/, services/, extras/. Only the two services' own SRC_DIR
path resolution and header comments needed updating — nothing else in
the repo referenced the old ./ai-stack / ./paintplus paths.

Also documents vendor/ in README.md's Layout section.
2026-08-04 12:55:09 +00:00

83 lines
3.0 KiB
Docker

# =============================================================================
# EditmaskwithAI — GPU Container (NVIDIA CUDA)
#
# Usage:
# docker compose -f docker-compose.gpu.yml up --build
#
# Requirements on host:
# - NVIDIA driver ≥ 525 (for CUDA 12.x)
# - nvidia-container-toolkit installed and configured
# - docker compose v2 (or docker-compose with GPU device support)
#
# AMD ROCm users: replace the pytorch base image with a ROCm variant, e.g.
# rocm/pytorch:latest (and remove the nvidia-smi check below)
# =============================================================================
# ── Stage 1: Build miniPaint frontend ────────────────────────────────────────
FROM node:20-alpine AS frontend-build
WORKDIR /frontend
COPY frontend/package.json frontend/package-lock.json* ./
RUN npm install
COPY frontend/ ./
RUN npm run build
# ── Stage 2: PyTorch CUDA runtime ────────────────────────────────────────────
# pytorch/pytorch already includes torch + torchvision built for CUDA 12.1.
# Using the runtime (not devel) image keeps the layer lean.
FROM pytorch/pytorch:2.1.0-cuda12.1-cudnn8-runtime
WORKDIR /app
# System dependencies
RUN apt-get update && apt-get install -y --no-install-recommends \
libgl1 \
libglib2.0-0 \
libsm6 \
libxext6 \
libxrender-dev \
libgomp1 \
wget \
git \
&& rm -rf /var/lib/apt/lists/*
# Install Python dependencies — base + GPU extras
# BUILDID forces pip layers to re-run when you need fresh packages without a full --no-cache:
# BUILDID=$(date +%s) docker compose -f docker-compose.gpu.yml up --build
ARG BUILDID=1
COPY backend/requirements.txt .
COPY backend/requirements.gpu.txt .
RUN echo "BUILDID=$BUILDID" && pip install --no-cache-dir -r requirements.txt
RUN echo "BUILDID=$BUILDID" && pip install --no-cache-dir -r requirements.gpu.txt
# Smoke-test rembg (model downloads on first use)
RUN python -c "from rembg import remove; print('rembg OK')" \
|| echo "WARNING: rembg unavailable — Remove Background disabled"
# Smoke-test ben2 (weights download from HuggingFace on first use)
RUN python -c "import ben2; print('ben2 OK')" \
|| echo "WARNING: ben2 unavailable — Remove Background falls back to U2Net/rembg"
# Copy backend application
COPY backend/ .
# Entrypoint
COPY backend/entrypoint.sh /entrypoint.sh
RUN chmod +x /entrypoint.sh
# Scripts (SAM download, DB init, GPU setup, etc.)
COPY scripts/ /scripts/
RUN chmod +x /scripts/*.py 2>/dev/null || true
# Copy built frontend from Stage 1
COPY --from=frontend-build /frontend/index.html /app/static/
COPY --from=frontend-build /frontend/dist /app/static/dist
COPY --from=frontend-build /frontend/images /app/static/images
COPY --from=frontend-build /frontend/src/css /app/static/src/css
# Persistent data directories
RUN mkdir -p /app/data/projects /app/data/patches /app/data/models
EXPOSE 8000
ENTRYPOINT ["/entrypoint.sh"]