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[BRANDNAME] | [SUBJECT_TOGGLE]. Actas a LeadGraphicDesigner.
PHASE1: ARCHITECTURALSETTING.
Create a minimalist 2D vector illustration of a vintage-style storefront representing [BRANDNAME].
- Autonomously design the facade (Modernist, Industrial, or Classic) to match the brand's heritage.
PHASE 2: SUBJECT LOGIC (TOGGLE SYSTEM).
- If [SUBJECT_TOGGLE] is "OFF": Show only the empty storefront.
- If [SUBJECT_TOGGLE] is "ON": Autonomously add 1-2 characters or a pet that fits the brand's lifestyle.
PHASE3: DYNAMICTYPOGRAPHY (CORRECTED).
- Header: Autonomously generate a high-status "Club" or "Community" title based on the nature of [BRANDNAME]. * Examples: ForStarbucks — "Coffee Roasters Society"; forNike — "Elite Runners Club"; forApple — "Digital Creators Guild".
- Branding: Place the [BRANDNAME] logo clearly on the storefront awning.
- ContextualInfo: Below the awning, add "EST. [REAL FOUNDING YEAR]" and "[REAL ORIGIN CITY]".
PHASE4: VISUALSTYLE.
- Two-tone palette: [BRANDSIGNATURECOLOR] on a pure white background.
- Style: 1950s-60s RetroLineArt. No gradients, no shadows.
TECHSPECS:
Flat 2D vector, 8k resolution, monochrome aesthetic, centered composition.
Product Marketing - Retro Line Art Storefront Illustration Generator Template
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A structured, multi-phase prompt template designed to generate a minimalist, 2D vector illustration of a vintage-style storefront for a specific brand. It uses a toggle system to include or exclude subjects, dynamically generates a 'Club' or 'Community' title, and enforces a 1950s-60s retro line art style with a two-tone color palette.
A highly detailed prompt for generating an architectural concept rendering of a modern café storefront. The core concept is blending clean technical sketch aesthetics (pencil lines, hatching, annotations) with high-end photorealism. It specifies composition (symmetrical façade, black-framed window), interior details (warmly lit, plants, counter), and exterior elements (lamp, sandwich board), emphasizing contrast between monochrome sketch lines and selective color accents.
A highly detailed JSON prompt designed to generate an editorial-style car selfie of a young woman, specifying her outfit (crop top, loose jeans, Nike sneakers), the lighting conditions, and a background featuring a Walmart storefront and a Japanese flag.
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Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data
Data collected and processed: IP addresses, Device characteristics, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Authentication-derived identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Non-precise location data, Precise location data
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Authentication-derived identifiers, Browsing and interaction data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, User-provided data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Users’ profiles, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device characteristics, Device identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
Data collected and processed: IP addresses, Device identifiers, Probabilistic identifiers, Browsing and interaction data, Non-precise location data, Privacy choices
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