FLUX Kontext CFD is a project that creates a surrogate model for Computational Fluid Dynamics (CFD) using the AirfRANS dataset. This project trains LoRA adapters on preprocessed CFD contour images to enable rapid flow field predictions and parameter studies. The project supports multiple variables including pressure, velocity components (u_x, u_y), and turbulence (nut) visualizations. It enables quick exploration of airfoil geometry, angle of attack, and velocity variations through automated dataset generation and comprehensive analysis tools that compare generated results against ground truth with multiple metrics. The project focuses on three types of meaningful transformations: airfoil geometry changes, angle of attack (AoA) changes, and velocity changes, enabling the model to learn how different parameters affect flow patterns in CFD simulations.