What specific text prompt elements are most effective in controlling image composition?

Several text prompt elements are highly effective for controlling image composition in ChatGPT ImageGen. Explicit spatial descriptions are crucial; these include specifying the position of objects (e.g., 'a cat on the left', 'a tree in the background'), their relative locations (e.g., 'a small house behind a large oak'), and their arrangement within the scene. Adjectives and adverbs that define spatial relationships (e.g., 'a tall building', 'a wide river') also play a significant role. Framing instructions, such as 'close-up shot', 'wide-angle view', or 'aerial perspective', dictate the camera angle and field of view, influencing how much of the scene is visible and the relative scale of objects. Rules of composition, while not directly translatable into single keywords, can be evoked using phrases that suggest them, such as 'rule of thirds' or 'symmetrical composition'; while the model won't perfectly adhere to these rules, it will tend to arrange elements in a way that aligns with them. Details regarding the environment or setting provide context and indirectly shape the composition; for example, specifying 'a sunny beach' or 'a dark forest' will influence the overall distribution of elements and the lighting conditions, ultimately impacting the compositional feel. Lastly, specifying the aspect ratio directly influences composition by dictating the overall shape of the image frame (e.g. '16:9 aspect ratio').