Image2Studio
Examples

gpt-image-2

Chocolate wafer product render (JSON-style)

Food Menu Visual prompt for product photography, ready to edit and generate in Image2Studio.

Food Menu Visual prompt for product photography, ready to edit and generate in Image2Studio.
Food Menu Visual prompt for product photography, ready to edit and generate in Image2Studio.
Prompt

/* PRODUCT_RENDER_CONFIG: Chocolate Wafer Hazelnut Edition VERSION: 2.0.1 AESTHETIC: Premium Commercial Food Photography */ { "ENVIRONMENT": { "Background": "Gradient(Dark_Warm_Brown)", "Atmospheric_FX": ["Floating_Particles", "Depth_Blur", "Cinematic_Bokeh"], "Lighting": { "Type": "Directional_Studio_Warmer", "Highlights": "Specular_Glossy_Reflections", "Shadow_Softness": "High" } }, "CORE_ASSETS": { "Primary_Subject": "Wafer_Rolls", "Physics": "Zero_Gravity_Diagonal_X_Composition", "Material_Properties": { "Outer": "Milk_Chocolate_Coating", "Surface_Texture": "Irregular_Nut_Clusters_Embedded", "Interior_Cross_Section": { "Structure": "Crispy_Hollow_Wafer", "Core": "Silky_Chocolate_Cream_Filling" } } }, "PARTICLE_SYSTEMS": [ { "Object": "Chocolate_Blocks", "Detail": "Rectangular_Embossed_Letter_B", "State": "Floating" }, { "Object": "Hazelnuts", "State": "Halved_and_Fragmented", "Distribution": "Random_Orbit" } ], "FLUID_DYNAMICS": { "Element": "Chocolate_Splash", "Behavior": "Dynamic_Backdrop_Flow", "Viscosity": "Thick_Glossy" }, "RENDER_OUTPUT": { "Resolution": "8K_UHD", "Aspect_Ratio": "3:4", "Quality_Flags": ["Hyper_Realistic", "Sharp_Foreground", "Indulgent_Mood"] } }

Prompt structure
  • Modelgpt-image-2
  • Use casefood-menu-visual
  • Stylephotorealistic, 3d-render, luxury
  • Aspect ratioportrait
Best used for
  • Use casefood-menu-visual
  • Stylephotorealistic, 3d-render, luxury
  • Recommended specsportrait
  • ModelGPT Image 2
How to customize

Use this Chocolate wafer product render (JSON-style) prompt as a base. Replace the subject, product details, environment, lighting, brand colors, and output ratio while keeping the food-menu-visual intent and photorealistic, 3d-render, luxury direction stable.

Editable variables
  • SubjectReplace the product, person, scene, interface, or object being generated.
  • Use caseKeep or rewrite the destination as food menu visual, ad creative, cover image, poster, or ecommerce hero.
  • Frameportrait
  • Brand cuesAdd colors, materials, props, text-safe space, and the platform where the image will be used.
Recommended specs

Choose the frame for the destination first, then use 1K, 2K, or 4K based on output quality needs. Product images and posters usually benefit from higher resolution.

Pre-generation checklist
  • CheckSubject, lighting, composition, and frame are specific enough to review.
  • CheckText-safe space is included when the image will carry a headline or ad copy.
  • CheckResolution, credit cost, and final destination are checked before generation.
Why this prompt works

Chocolate wafer product render (JSON-style) works because it starts from the image job, then controls subject, composition, lighting, style, and frame. It is best for food menu visual while keeping the photorealistic, 3d-render, luxury direction stable.

Common questions
  • Can I use it directly?Yes. Replace the subject, brand cues, and frame, then generate in Image2Studio.
  • Which ratio should I use?portrait