Gravity is one of the hardest problems in AI product photography. Our early models produced gorgeous lifestyle backgrounds, but the products themselves looked like cutouts pasted on top. Shadows pointed the wrong way, light sources didn't match, and buyers notice that instantly even if they can't say why. We ended up building a custom rendering pipeline that maps the product's actual geometry and forces the model to generate physically accurate shadows and reflections instead of guessing. Curious how other technical founders here are solving spatial consistency in image generation. Are you leaning on prompt engineering, custom backend logic, or something else entirely?
