MySocialPrompt

Why Your AI Images Look Generic (and What the Good Ones Do Differently) There is a particular look that gives AI images away. Smooth, symmetrical, vaguely cinematic, lit by a sun that seems to be everywhere at once. It is not that the models are weak. It is that most of us ask them for the average of everything, and they politely deliver it. If your results feel flat, the problem is rarely the tool. It is usually the sentence. Vague in, generic out A prompt like "a woman in a city at night" leaves a hundred decisions to the model: age, clothing, lens, weather, color palette, time of night, how close the camera sits. The model fills each gap with the most statistically comfortable choice, and the result looks like everyone else's. People who consistently get striking images do something different. They make those decisions on purpose. They name the lens and the light source. They describe texture, not just subject. They say what the image should not feel like. Their prompts read less like a wish and more like a brief handed to a photographer. Why this is hard to learn alone The catch is that nobody hands you the brief format. Each model also reads language slightly differently, so a phrase that sings on one can fall apart on another. Most people learn this by burning generation credits, one disappointing batch at a time. The shortcut is other people's experiments The fastest way to see what a good prompt looks like is to read a lot of them, next to the images they produced. That is what MySocialPrompt is for. It is a free community library where creators publish their prompts together with the results, tagged by model and by theme, from portrait and photography to design, 3D and marketing visuals. Read three portrait prompts side by side and patterns start to jump out. One author always specifies the lens. Another describes the lighting before the subject. A third keeps a short closing line about mood. You are not memorizing rules; you are absorbing the habits of people who already got it right, in the order they actually use them. You can also filter by model, which matters more than it sounds. Seeing how the same kind of idea is phrased for GPT Image versus Nano Banana or Midjourney takes some of the mystery out of why your own attempts behave differently from one tool to the next. Small habits that make a big difference Whatever tool you use, a few habits travel well. Save the prompts that worked, along with the model that produced them. Change one thing at a time when iterating, so you know what caused the improvement. And keep a handful of reference images you admire, along with the words that created them. On MySocialPrompt, saving and following are built in, so the references you collect turn into a personal feed that tilts toward the styles you care about. A free account is all it takes, and you can browse before you commit. Generic images are not a verdict on your taste. They are what happens when taste has no vocabulary yet. Borrow some, and the vocabulary arrives faster than you would think.