Write prompts the way you’d describe a scene to another person. Models work best with clear, conversational language versus keyword stuffing or cryptic shortcuts. When you explain what you see in natural terms, the model has the context it needs to interpret your intent with better accuracy.
Group related concepts together, such as subject, composition, style, etc. This logical grouping helps models parse complex ideas without confusion. Think of it as giving the model a clear blueprint rather than a pile of scattered instructions.
Every detail you include or leave out guides the model’s decisions. More specificity doesn’t always mean better results. It’s more about knowing which details matter for your vision and which ones the model should interpret on its own. This balance gives you control without overconstraint.
