Update configuration to use Docker with CUDA

Dockerfile

@@ -0,0 +1,32 @@
+FROM nvidia/cuda:12.3.1-devel-ubuntu22.04
+
+# Install Python and basic utilities
+RUN apt-get update && apt-get install -y \
+    python3.10 \
+    python3-pip \
+    git \
+    wget \
+    && rm -rf /var/lib/apt/lists/*
+
+# Set working directory
+WORKDIR /app
+
+# Copy application files
+COPY . .
+
+# Install Python dependencies
+RUN pip3 install --no-cache-dir -r requirements.txt
+
+# Install build dependencies
+RUN pip3 install --no-cache-dir ninja pybind11
+
+# Compile custom components
+RUN cd /app/hy3dgen/texgen/custom_rasterizer && python3 setup.py install
+RUN cd /app/hy3dgen/texgen/differentiable_renderer && bash compile_mesh_painter.sh
+
+# Set environment variables
+ENV NVIDIA_VISIBLE_DEVICES=all
+ENV PYTHONPATH=/app
+
+# Run the application
+CMD ["python3", "hg_app.py"]

README.md

@@ -3,7 +3,7 @@ title: Hunyuan3D-2 Clone
 emoji: 🌍
 colorFrom: purple
 colorTo: red
-sdk: gradio
+sdk: docker
 sdk_version: 4.44.1
 app_file: hg_app.py
 pinned: false
@@ -15,3 +15,4 @@ models:
 # Hunyuan3D-2 Clone
 
 This is a clone of the original Hunyuan3D-2 Space by Tencent.
+Hardware: T4 GPU