Cyberpunk Fashion Magazine Cover: Neon Night Portrait AI Image Prompt
Create a high-fashion cyberpunk magazine cover featuring a close-up street-style portrait of a young woman at night in a neon-lit capital city. She has long, thick cybernetic braids made of glossy black fiber-optic cables with blue, violet, and magenta highlights, metallic connector rings, and a circular tech ornament near one ear. Her face is intentionally covered by a square pixelated privacy block in muted brown-purple tones. She wears a black ribbed strappy top, a loose off-shoulder black leather jacket, and a wide futuristic chrome neck collar with panel details. In one hand she holds a small transparent cyberdeck or smartphone-like device with glowing blue interface graphics and attached cables running down into her outfit. The setting is a rainy urban night street with wet reflective pavement, blurred pedestrians, tall buildings, and colorful out-of-focus billboards and signs, photographed with shallow depth of field, cinematic bokeh, glossy reflections, and realistic editorial lighting. Design it as a fashion magazine cover with exactly 3 text elements: a huge thin white masthead at the top left reading {argument name="magazine title" default="NEURO"}, a small two-line caption at the top right reading {argument name="cover caption" default="FASHION SNAP\nCAPITAL CITY NIGHT"}, and a tiny issue/date mark at the bottom left reading {argument name="issue text" default="2126 / SPRING"}. Use a vertical cover composition, premium cyber-fashion aesthetic, photorealistic detail, cool blue-purple neon palette, and crisp typography.
Content: Subject: close-up young woman; Setting: rainy neon capital night street; Style: high-fashion cyberpunk magazine cover; Composition: vertical cover; Lighting: cinematic bokeh, glossy reflections; Color: cool blue-purple; Materials: fiber-optic braids, metal, leather, transparent device; Lens: shallow depth of field; Aspect: cover; Text: 3 customizable elements.
Pros: Rich details, customizable text parameters for easy adaptation.
Cons: Long prompt, requires high-performance model.
Reference image: No obvious reference-image dependency
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