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+# Use a PyTorch image that includes CUDA and development tools (for nvcc)
+FROM pytorch/pytorch:2.2.2-cuda11.8-cudnn8-devel
+
+# Set environment variables for CUDA
+ENV CUDA_HOME=/usr/local/cuda
+ENV PATH=$CUDA_HOME/bin:$PATH
+ENV LD_LIBRARY_PATH=$CUDA_HOME/lib64:$LD_LIBRARY_PATH
+
+# Install system dependencies
+RUN apt-get update && apt-get install -y \
+    git \
+    build-essential \
+    ninja-build \
+    libaio-dev \
+    ffmpeg \
+    && rm -rf /var/lib/apt/lists/*
+
+# Clone repository
+RUN git clone https://github.com/Wan-Video/Wan2.2.git .
+
+# Upgrade pip and setuptools to latest
+RUN pip install --upgrade pip setuptools wheel
+
+# Install requirements except flash_attn
+RUN grep -v "flash_attn" requirements.txt > requirements_temp.txt && \
+    pip install --no-cache-dir -r requirements_temp.txt
+
+RUN pip install --upgrade typing-extensions
+# Install flash-attn (MUST be after CUDA is set)
+RUN pip install flash-attn --no-build-isolation
+
+# Install decord and librosa
+RUN pip install decord librosa
+
+# Set work directory (optional)
+WORKDIR /workspace
+
+# Default to interactive shell
+CMD ["/bin/bash"]