AI image generators can feel intimidating at first, mostly because getting good results depends on prompting techniques that aren’t obvious. Here’s a practical path to better results.
Start with a clear subject and style
Begin with a specific description of the main subject, then add style descriptors — “watercolor painting,” “photorealistic,” “minimalist line art” — since style has a huge effect on the final result and most tools respond well to explicit style language.
Add composition and lighting details
Once you have a subject and style, refine with details about composition (close-up, wide shot, from above), lighting (soft morning light, dramatic shadows), and mood. These details give the model much more to work with than a bare subject description alone.
Iterate rather than expecting perfection on the first try
Most image generation tools let you generate several variations and refine from there. Treat your first prompt as a starting point — look at what the model produced, identify what you want to change, and adjust your prompt or use editing tools to refine specific areas rather than starting completely over each time.
Understand the current limits
Fine details like hands, text within images, and precise spatial relationships between objects remain areas where AI image generators are more likely to make mistakes. Knowing this in advance helps you plan around it — for example, adding text in post-production rather than asking the model to generate it directly.