Unlike text generation, ChatGPT’s new image model works off a diffusion system behind the scenes, it literally denoises static until it looks like something. This means it's incredibly sensitive to initial prompt structure, noun density, and even visual symmetry of described objects.
So instead of just “a red water bottle on a table,” try this:
"A matte red insulated water bottle, centered on a white marble countertop, soft daylight from the left, shallow depth of field, natural shadows, crisp branding visible, high-gloss reflection beneath."
That small change? Night and day difference.
Break your prompts into this format:
[Object] + [Material & Detail] + [Setting & Context] + [Lighting] + [Camera/Angle/Focus] + [Post-processing/Vibe]
Example:
“A pastel pink ceramic mug with a smooth matte finish, resting on a linen napkin in a sunlit breakfast nook, overhead natural lighting with soft shadows, captured in a 50mm DSLR-style shot, with slight film grain and warm tones.”
You're not just describing a product, you’re directing a commercial shoot.