AI Store Packaging Designer
Generate complete packaging design proposals in one click
AI Store Packaging Designer
Generate complete packaging design proposals in one click
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Description
Designed for physical stores, dining, beverage, bakery, and food e-commerce brands. Enter your brand's Chinese and English names, slogan, category, primary and secondary colors, style, and packaging needs, and the AI automatically generates a complete packaging proposal board. It includes three modes: store take-out packaging system proposals, multi-layout tote bag grid proposals, and full SKU packaging proposals for snacks and food. The visuals are consistent throughout, with professional layout partitioning suitable for brainstorming, previewing concepts, and communicating with manufacturers.
Recommended by
Dancang
Why we love this skill
Transforms brand information into a complete packaging proposal board ready for discussion, covering store take-out systems, multi-layout tote bags, and food multi-SKU scenarios. It generates visual directions while planning materials, layouts, colors, applications, and drawing prompts, making it ideal for quickly validating creative ideas before opening a store.
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ImageSeries Packaging Design
Turn a brand idea into a series packaging design proposal board for review, communication, and sampling. It suits brand projects involving snacks, food, beverages, coffee, baked goods, skincare, fresh food, and gifts that require multiple materials to be presented together. You only need to provide available information such as the theme, brand name, and product contents. When the style, colors, or copy are incomplete, the direction can also be filled in based on the product category, target audience, consumer context, and shelf environment. The proposal plans a packaging system around real sales and delivery scenarios, including primary packaging, multiple-flavor SKUs, sharing packs, gift boxes, sample packs, paper bags, labels, and information cards. It also takes the brand character, color palette, typography, materials and finishes, structural functions, and series extensions into account as a unified system. Brand names, series names, primary colors, IP elements, or headlines you provide explicitly are retained and not replaced without permission; elements added by the system are presented as adjustable design options. The final result is a high-resolution landscape packaging proposal board combining primary packaging mockups, series applications, supporting materials, dieline layouts, product ingredients or scene elements, material color swatches, structural details, and bilingual Chinese-English labels. It presents a complete direction for the brand’s packaging design and is suitable for internal discussions, product launch planning, design communication, and visual confirmation before supplier sampling.
ImageBrand Packaging Proposal Board
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ImageStorefront Sign AI Wordsmith
A professional prompt generator for commercial storefront signs, designed for aspiring business owners and designers. Provide your store category and name, then optionally add a style, slogan, or IP elements. It automatically creates standardized English image-generation prompts compatible with leading AI image models such as Qwen Image, GPT Image, and Nano Banana. Core capabilities ・Automatically lays out a three-layer storefront structure: primary sign text, 3D sculptural IP elements, and storefront materials and surroundings ・Optimizes Chinese sign text rendering to greatly reduce AI typos and distorted lettering ・Recommends an image model based on your needs ・Uses a 16:9 landscape composition by default, suitable for realistic storefront photos and trendy, social-media-ready store concepts ・Supports custom styles, including night-market stalls, neighborhood shops, trendy cafés, hot pot restaurants, and tea drink shops Best for: brick-and-mortar entrepreneurs, advertising and storefront sign designers, and AI art enthusiasts who want to quickly generate storefront concepts for previewing designs before opening and comparing sign proposals.
Information
- Version
- v2
- Last updated
- Runtime credits
- Usage-based
- Models
- Auto
