I tried this with Nano Banana. It tried but just wasn't that great. GPT Image 2 kind of nailed it Prompt: 2x2 grid, do this for 4 AI inferred themes and shapes Anchor: A perfectly organized top-down knolling flat-lay of every object associated with [Theme (e.g. a Surfer / a Baker / Tokyo / the 1980s)] ::4 Macro Shape: Objects arranged so their collective outline forms the silhouette of [Master Shape (e.g. a wave / a chef's hat / Mount Fuji)] — order within, meaning at the edge. Infer 20–30 fitting items ::5 Composition: Strict 90° grid alignment, even spacing, generous margin ::3 Material Physics: Real objects, soft studio shadows, consistent matte finish ::2 Illumination: Flat overhead softbox, no glare ::2 Render Stack: Knolling photography, organized-neatly aesthetic, product flat-lay ::1 Negative: [tilted objects, overlap, mess, motion blur, duplicate items, off-theme objects] :: -1

I tried this with Nano Banana. It tried but just wasn’t that great. GPT Image 2

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I tried this with Nano Banana. It tried but just wasn’t that great. GPT Image 2 kind of nailed it

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2x2 grid, do this for 4 AI inferred themes and shapes Anchor: A perfectly organized top-down knolling flat-lay of every object associated with [Theme (e.g. a Surfer / a Baker / Tokyo / the 1980s)] ::4 Macro Shape: Objects arranged so their collective outline forms the silhouette of [Master Shape (e.g. a wave / a chef’s hat / Mount Fuji)] — order within, meaning at the edge. Infer 20–30 fitting items ::5 Composition: Strict 90° grid alignment, even spacing, generous margin ::3 Material Physics: Real objects, soft studio shadows, consistent matte finish ::2 Illumination: Flat overhead softbox, no glare ::2 Render Stack: Knolling photography, organized-neatly aesthetic, product flat-lay ::1 Negative: [tilted objects, overlap, mess, motion blur, duplicate items, off-theme objects] :: -1

I tried this with Nano Banana. It tried but just wasn't that great. GPT Image 2

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I tried this with Nano Banana. It tried but just wasn’t that great. GPT Image 2

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