Hair_stable_new / Dockerfile
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feat(space): install CUDA-enabled PyTorch (cu121) for GPU on Space
70b7f99
# syntax=docker/dockerfile:1
FROM python:3.10-slim
ENV PIP_NO_CACHE_DIR=1 \
PYTHONDONTWRITEBYTECODE=1 \
PYTHONUNBUFFERED=1 \
HF_HUB_ENABLE_HF_TRANSFER=1 \
HF_HOME=/data/hf \
TRANSFORMERS_CACHE=/data/hf \
DIFFUSERS_CACHE=/data/hf \
HUGGINGFACE_HUB_CACHE=/data/hf
WORKDIR /app
# System deps
RUN apt-get update && apt-get install -y --no-install-recommends \
git \
gcc \
libgl1 \
libglib2.0-0 \
libgthread-2.0-0 \
libgomp1 \
libgcc-s1 \
&& rm -rf /var/lib/apt/lists/*
# Copy code
COPY . /app
# Install deps
RUN python -m pip install --upgrade pip && \
python -m pip install -r requirements.txt && \
# Install CUDA-enabled PyTorch wheels (CUDA 12.1); required for GPU on Spaces
python -m pip install --index-url https://download.pytorch.org/whl/cu121 torch torchvision torchaudio --upgrade --force-reinstall && \
# Ensure xformers is not installed (optional perf lib; skip for compatibility)
python -m pip uninstall -y xformers || true && \
# Speed up and lower RAM during model load (avoid upgrading hub)
python -m pip install --no-deps accelerate && \
# Ensure compatible hub version providing required symbols
python -m pip install --upgrade --force-reinstall "huggingface-hub==0.20.3" "diffusers==0.23.0"
EXPOSE 7860
ENV DATA_DIR=/data
RUN mkdir -p /data /data/hf && chmod -R 777 /data /data/hf
CMD ["python", "-m", "uvicorn", "server:app", "--host", "0.0.0.0", "--port", "7860"]