Dockerfile

FROM nvidia/cuda:12.4.1-devel-ubuntu22.04

ENV DEBIAN_FRONTEND=noninteractive
ENV PYTHONDONTWRITEBYTECODE=1
ENV PYTHONUNBUFFERED=1
ENV PYOPENGL_PLATFORM=egl
ENV CUDA_HOME=/usr/local/cuda
ENV PATH=${CUDA_HOME}/bin:${PATH}
ENV LD_LIBRARY_PATH=${CUDA_HOME}/lib64:${LD_LIBRARY_PATH}

ENV TORCH_CUDA_ARCH_LIST="8.9"
ENV CUDAARCHS="89"
ENV FORCE_CUDA=1
ENV MAX_JOBS=1
ENV CMAKE_BUILD_PARALLEL_LEVEL=1
ENV TORCH_EXTENSIONS_DIR=/workspace/torch_extensions

WORKDIR /workspace

RUN apt-get update && apt-get install -y --no-install-recommends \
    build-essential \
    git \
    git-lfs \
    wget \
    curl \
    unzip \
    vim \
    cmake \
    pkg-config \
    ninja-build \
    python3-dev \
    python3-setuptools \
    libeigen3-dev \
    libcgal-dev \
    libegl1-mesa-dev \
    libglib2.0-0 \
    libglvnd0 \
    libgl1 \
    libglx0 \
    libegl1 \
    libgles2 \
    libglvnd-dev \
    libgl1-mesa-dev \
    libgles2-mesa-dev \
    mesa-utils-extra \
    libxrender1 \
    libxi6 \
    libgconf-2-4 \
    libxkbcommon-x11-0 \
    libsm6 \
    libxext6 \
    libxrender-dev \
    && rm -rf /var/lib/apt/lists/*

RUN wget https://repo.anaconda.com/miniconda/Miniconda3-latest-Linux-x86_64.sh && \
    chmod +x Miniconda3-latest-Linux-x86_64.sh && \
    ./Miniconda3-latest-Linux-x86_64.sh -b -p /workspace/miniconda3 && \
    rm Miniconda3-latest-Linux-x86_64.sh

ENV PATH="/workspace/miniconda3/bin:${PATH}"

SHELL ["/bin/bash", "-lc"]

RUN conda tos accept --channel https://repo.anaconda.com/pkgs/main || true && \
    conda tos accept --channel https://repo.anaconda.com/pkgs/r || true && \
    conda create -n hunyuan3d21 python=3.10 -y

ENV PATH="/workspace/miniconda3/envs/hunyuan3d21/bin:${PATH}"
ENV LD_LIBRARY_PATH="/workspace/miniconda3/envs/hunyuan3d21/lib:${LD_LIBRARY_PATH}"

RUN conda install -n hunyuan3d21 -c nvidia/label/cuda-12.4.1 cuda -y && \
    conda install -n hunyuan3d21 -c conda-forge libstdcxx-ng ninja -y

RUN pip install --upgrade pip setuptools wheel && \
    pip install torch==2.5.1 torchvision==0.20.1 torchaudio==2.5.1 --index-url https://download.pytorch.org/whl/cu124

RUN git lfs install && \
    git clone https://github.com/Tencent-Hunyuan/Hunyuan3D-2.1.git

WORKDIR /workspace/Hunyuan3D-2.1

RUN grep -v '^bpy==' requirements.txt > /tmp/hunyuan_requirements_no_bpy.txt && \
    pip install -r /tmp/hunyuan_requirements_no_bpy.txt

RUN python - <<'PY'
import torch
print("Torch:", torch.__version__)
print("CUDA available:", torch.cuda.is_available())
print("CUDA:", torch.version.cuda)
PY

RUN cd hy3dpaint/custom_rasterizer && \
    MAX_JOBS=1 CUDAARCHS=89 TORCH_CUDA_ARCH_LIST="8.9" \
    pip install --no-build-isolation --no-cache-dir .

RUN cd hy3dpaint/DifferentiableRenderer && \
    MAX_JOBS=1 CUDAARCHS=89 TORCH_CUDA_ARCH_LIST="8.9" \
    bash compile_mesh_painter.sh

RUN cat > /workspace/health_server.py <<'PY'
from fastapi import FastAPI
app = FastAPI()

@app.get("/")
def root():
    return {
        "status": "stage-2-healthy",
        "service": "hunyuan3d-build-check",
        "message": "Stage 2 native Hunyuan build layers completed."
    }

@app.get("/health")
def health():
    return {"status": "healthy", "stage": 2}
PY

EXPOSE 7860

CMD ["bash", "-lc", "cd /workspace && uvicorn health_server:app --host 0.0.0.0 --port 7860"]