Read the details that shape the image
Upload a photograph, illustration, product shot, poster, or other visual reference. The tool looks beyond the main subject to describe the scene, point of view, framing, depth, textures, dominant colors, light direction, contrast, and atmosphere. Those details give an AI image prompt useful specificity while keeping it readable.
For example, “a red chair in a room” can become a much clearer direction: a sculptural red lounge chair, placed off-center in a quiet sunlit interior, photographed at eye level with long afternoon shadows, warm plaster walls, and an understated editorial mood. The goal is not to copy the source pixel for pixel. It is to capture the visual language you want to carry into your next image.
Choose a prompt format that fits your workflow
Use a general prompt when you want a clean description to adapt freely. Select a structured prompt to separate subject, environment, composition, light, and style into editable parts. Graphic design format is useful for references with typography, layout, and brand character, while JSON gives teams and technical workflows clearly labeled fields.
You can also select the target model before generating your result. Different generators respond to different amounts of detail and different phrasing. Starting with a model-aware AI image prompt saves cleanup time, whether you are exploring in Flux, refining a Midjourney concept, or building an image direction for GPT Image or Stable Diffusion.