The jump from beginner mush to actually cool output is all about ditching vague words and building a visual scene like you’re describing a photo to a blind person. You gotta feed it a subject, a specific lighting mood like golden hour or overcast, a defined color palette, and some texture or medium references, think oil on canvas or gritty film grain, otherwise it defaults to that plastic airbrushed look nobody wants. Pairing down the fluff and making every word earn its place is the core of prompt optimization, and there’s a solid breakdown of that logic here https://eignex.com/ .

Don’t just list objects, use weights and brackets to tell the model what matters most. Putting (detailed eyes) in parentheses makes it focus there, while stuff like [busy background] gets pushed to the back burner.