Refactor code structure for improved readability and maintainability

workers/gpu-diffusion/Dockerfile

@@ -0,0 +1,25 @@
+# Combined GPU diffusion worker: FLUX.2 img2img + SDXL inpaint.
+# Slim Python base + torch cu124 (torch bundles its own CUDA runtime/cuDNN, so we
+# skip the heavy nvidia/cuda base — that halves the image so it fits the worker's
+# container disk). The host NVIDIA driver is mounted by RunPod; torch supplies the
+# rest. No CUDA-version label = runs on any recent driver. Build ctx = repo root.
+FROM python:3.11-slim
+
+ENV DEBIAN_FRONTEND=noninteractive \
+    PYTHONUNBUFFERED=1 \
+    PIP_NO_CACHE_DIR=1
+
+RUN apt-get update && apt-get install -y --no-install-recommends \
+        git libgomp1 libgl1 libglib2.0-0 && \
+    rm -rf /var/lib/apt/lists/*
+
+WORKDIR /app
+
+RUN pip install --upgrade pip && \
+    pip install torch --index-url https://download.pytorch.org/whl/cu124
+COPY workers/gpu-diffusion/requirements.txt .
+RUN pip install -r requirements.txt
+
+COPY workers/gpu-diffusion/handler.py .
+
+CMD ["python3", "-u", "handler.py"]