Build a generative image model in Python with PyTorch that creates ad banners or visuals for marketing campaigns, integrated with a predictive analytics component (e.g., using Prophet for time-series forecasting) to predict campaign performance based on historical data. Generate images conditioned on these predictions (e.g., vibrant designs for high-engagement forecasts). Provide full code, including data preprocessing, model fine-tuning, and examples for real-time use in a business app targeting surged demand in content personalization.
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