
Start with the recommended models, use cases, and steps, then decide how to apply the template directly.
These templates work best when you keep the visual structure, then replace the subject, style, or commercial goal. Start with Google Imagen4, then switch to a similar alternative based on the result.
If you are unsure which model to use first, start with one of the author's recommendations.
Start with the recommended models, use cases, and steps, then decide how to apply the template directly.
Produce AI-edited hyperreal food photography. Keep global_settings at 8K ultra-high definition, vertical 3:4, extreme sharpness, high dynamic range, and professional studio lighting. Emphasize crisp textures, frozen motion, liquid dynamics, and surface details against clean, controlled, noise-free backgrounds. module_1 — Image 1 – Ice Cream Cone with Purple Splash: Feature waffle-cone ice cream as the subject. Make the cone light brown with a diamond-grid texture and matte finish. Add two off-white / vanilla scoops: one creamy with clearly defined scoop ridges, the other slightly uneven with melting edges. Use raspberries and blackberries as toppings. Coat the scene in a thick, glossy purple sauce that splashes outward and downward while dripping over the scoops and cone. Freeze the splash in motion, suspending liquid droplets in midair with translucent edges. Use a deep dark-maroon / black studio backdrop with a subtle gradient. Apply high-contrast studio lighting, specular highlights across the sauce and ice cream, and dimensional shadow below the cone. module_2 — Image 2 – Chocolate Ice Cream Bar with Bite: Feature a chocolate-coated ice cream bar on a wooden stick. Set coating exploded_view=false. Use a milk-chocolate surface embedded with nut pieces and give it a rough, uneven, crunchy texture. Place bite_detail at the top edge. Show interior_layers of chocolate ice cream and a thin, darker chocolate layer, bounded by jagged bite marks. Use a light-wood stick with a smooth rounded end. Float small chocolate fragments in the air, scattering them outward from the bar. Set the product against a warm-brown gradient in a clean studio environment. Use directional studio lighting to create strong highlights on the chocolate bumps and soft shadows. module_3 — Image 3 – Red Berry Popsicle with Fruits: Feature a rectangular red popsicle with a frosted surface, visible ice crystals, rounded corners, and vertical grooves. Use a light wooden stick and set visible=true. Surround it with whole strawberries with green tops, blueberries, raspberries, mint leaves, and pieces of crushed ice. Set color_palette to bright red, deep blue, fresh green, and clear ice. Fill the entire background with fruit and ice in a top-down macro food arrangement. Apply even, bright lighting that produces wet shine on the fruit skins and crystalline reflections in the ice.
Following this sequence usually produces a usable result faster than copying the prompt without a plan.
If you do not have a preference, starting with Google Imagen4 is usually a reliable choice.
Preserve composition, lighting, materials, and style, then replace the subject, brand information, and use case.
Image templates are most valuable when they speed up iteration, so do not judge the direction from a single result.
Quickly decide whether this template fits your current task.
This template works especially well for the following tasks.
If you are unsure which model to use first, start with one of the author's recommendations.
These templates work best when you keep the visual structure, then replace the subject, style, or commercial goal. Start with Google Imagen4, then switch to a similar alternative based on the result.
These templates work best when you keep the visual structure, then replace the subject, style, or commercial goal. Start with Google Imagen4, then switch to a similar alternative based on the result.
These templates work best when you keep the visual structure, then replace the subject, style, or commercial goal. Start with Google Imagen4, then switch to a similar alternative based on the result.
Compare templates of the same type to find the prompt direction that fits you best.

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