Claude
38e80f8fb8
BEN2 becomes the new default local backend (clean cutouts, strong on hair/fur edges), with BiRefNet-HR available as a high-res/print alternate and U2Net kept as the lightweight fallback. Both are MIT-licensed and download weights from HuggingFace on first use (cached via the existing hf_cache bind mount), unlike U2Net/SAM which need an explicit download script. - config: new BG_REMOVAL_MODEL setting (default "ben2") - tools.py: remove-background-base64 now tries local backends in order (request.model override > BG_REMOVAL_MODEL > ben2/u2net), falling back to rembg's birefnet-general session as a last resort - requirements.gpu.txt / Dockerfile.gpu: add ben2 + transformers deps needed for the new backends, with a build-time smoke test for ben2 - frontend: model dropdown in the Remove Background dialog, threaded through api.js to the new request field Co-Authored-By: Claude Sonnet 4.6 <noreply@anthropic.com> Claude-Session: https://claude.ai/code/session_01Ro4PwQKvSc3CH19LSN21Ht
83 lines
3.0 KiB
Docker
83 lines
3.0 KiB
Docker
# =============================================================================
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# EditmaskwithAI — GPU Container (NVIDIA CUDA)
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#
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# Usage:
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# docker compose -f docker-compose.gpu.yml up --build
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#
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# Requirements on host:
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# - NVIDIA driver ≥ 525 (for CUDA 12.x)
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# - nvidia-container-toolkit installed and configured
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# - docker compose v2 (or docker-compose with GPU device support)
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#
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# AMD ROCm users: replace the pytorch base image with a ROCm variant, e.g.
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# rocm/pytorch:latest (and remove the nvidia-smi check below)
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# =============================================================================
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# ── Stage 1: Build miniPaint frontend ────────────────────────────────────────
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FROM node:20-alpine AS frontend-build
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WORKDIR /frontend
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COPY frontend/package.json frontend/package-lock.json* ./
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RUN npm install
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COPY frontend/ ./
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RUN npm run build
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# ── Stage 2: PyTorch CUDA runtime ────────────────────────────────────────────
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# pytorch/pytorch already includes torch + torchvision built for CUDA 12.1.
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# Using the runtime (not devel) image keeps the layer lean.
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FROM pytorch/pytorch:2.1.0-cuda12.1-cudnn8-runtime
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WORKDIR /app
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# System dependencies
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RUN apt-get update && apt-get install -y --no-install-recommends \
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libgl1 \
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libglib2.0-0 \
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libsm6 \
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libxext6 \
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libxrender-dev \
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libgomp1 \
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wget \
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git \
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&& rm -rf /var/lib/apt/lists/*
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# Install Python dependencies — base + GPU extras
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# BUILDID forces pip layers to re-run when you need fresh packages without a full --no-cache:
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# BUILDID=$(date +%s) docker compose -f docker-compose.gpu.yml up --build
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ARG BUILDID=1
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COPY backend/requirements.txt .
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COPY backend/requirements.gpu.txt .
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RUN echo "BUILDID=$BUILDID" && pip install --no-cache-dir -r requirements.txt
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RUN echo "BUILDID=$BUILDID" && pip install --no-cache-dir -r requirements.gpu.txt
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# Smoke-test rembg (model downloads on first use)
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RUN python -c "from rembg import remove; print('rembg OK')" \
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|| echo "WARNING: rembg unavailable — Remove Background disabled"
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# Smoke-test ben2 (weights download from HuggingFace on first use)
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RUN python -c "import ben2; print('ben2 OK')" \
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|| echo "WARNING: ben2 unavailable — Remove Background falls back to U2Net/rembg"
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# Copy backend application
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COPY backend/ .
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# Entrypoint
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COPY backend/entrypoint.sh /entrypoint.sh
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RUN chmod +x /entrypoint.sh
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# Scripts (SAM download, DB init, GPU setup, etc.)
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COPY scripts/ /scripts/
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RUN chmod +x /scripts/*.py 2>/dev/null || true
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# Copy built frontend from Stage 1
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COPY --from=frontend-build /frontend/index.html /app/static/
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COPY --from=frontend-build /frontend/dist /app/static/dist
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COPY --from=frontend-build /frontend/images /app/static/images
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COPY --from=frontend-build /frontend/src/css /app/static/src/css
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# Persistent data directories
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RUN mkdir -p /app/data/projects /app/data/patches /app/data/models
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EXPOSE 8000
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ENTRYPOINT ["/entrypoint.sh"]
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