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Brand name: [Brand Name] Main title: [Main Title] Subtitle: [Subtitle] Collection label: [Collection Label] P… - AI prompt reference from CC Prompt Galaxy

Oversized [Product Type] High-Fashion Editorial AI Image Prompt

Prompt

Brand name: [Brand Name] Main title: [Main Title] Subtitle: [Subtitle] Collection label: [Collection Label] Product type: [Product Type] Product material and key details: [Product Material And Key Details] Main color palette: [Main Color Palette] Model styling: [Model Styling] Model interaction: [Model Interaction] Create a 9:16 high-fashion editorial poster featuring an oversized [Product Type] transformed into a giant wearable object installation. Show most of the product clearly and keep its complete silhouette recognizable. Preserve premium product craftsmanship, including realistic material texture, stitching, polished edges, metal hardware, structural joints, reflections, surface finishing, and other details specific to the product. It should look like a real luxury product enlarged to architectural scale, not a rough prop or simplified 3D object. Use an asymmetrical composition: place the oversized product on one side and a realistic full-body adult female model on the other. The model should physically interact with the object by leaning against it, holding it, pushing it, or using it for balance. The pose should show believable weight, contact, and body tension rather than a standard fashion pose. Use a clean neutral studio background with subtle perspective lines, architectural outlines, and soft directional light. Add a large black condensed headline behind the subjects, with partial overlap from the model and product. Place faint oversized outline typography or low-opacity perspective text farther in the background to create depth.

AI Image Content Analysis

Content: Structured with placeholders, scene, composition, lighting, and typography, emphasizing product details, model interaction, and depth for a 9:16 high-fashion editorial poster.

Pros: Clear structure, rich details, good for complex composition.

Cons: Depends on user-filled variables and high model capability.

Reference image: No obvious reference-image dependency

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