Modular JSON Template for Forest-Set Product Photography

Dettagli

CategoriaProdotti ed e-commerce
Formato1:1
InputSolo testo
Esempio generato conGPT Image 2.5
Modelli consigliatiSeedream 5 Pro, Nano Banana Pro, GPT Image 2
Autore originale@meng_dagg695 · Post originale su X
Modello originalenanobanana

Perché questo prompt funziona

Instead of one long sentence, this template splits product photography into modules: global settings (8K, macro clarity, no artifacts), then one block per image with subject, label text, cap material, environment, lighting, camera and palette. Module 1 is a frosted bottle of pale yellow shower gel with a honeycomb-textured silver cap on a mossy stump with yellow wildflowers and a spider web; module 2 is a matte green perfume bottle with a gold cap on a misty forest path. Run as one prompt, our result placed both bottles side by side in the same sunlit woodland, beaded with droplets. For one bottle per image, send each module separately. The source text ends mid-structure.

Come adattarlo

VariabileCosa cambiaEsempi
label_text_visibletext printed on each bottleyour brand name, FOREST
environment.settingsceneforest floor, beach rocks, marble bathroom
cap / bottle_materialpackaging detailsfrosted glass + silver honeycomb cap, matte green glass + gold cap

Consigli

  • Send one module per generation if you want separate images.
  • Spell label text exactly; keep it short.
  • Use your own brand name, not an existing one.

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