Subject and likeness
Use 1 image and keep the defining subject details intact. Focus on this subject requirement: preserve facial structure, expression, hair shape, and the details that make the person recognizable.
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Urban portrait with vintage CRTs
Create an Urban portrait with vintage CRTs with a portrait-focused composition that keeps the person recognizable and visually engaging. Start from the reference image so the subject, source structure, or key visual details stay anchored while the style changes. This recipe is useful for profile photos, social avatars, personal branding, character studies, and portrait variations.
Best for / not ideal for
Use this section to decide whether Urban portrait with vintage CRTs is the right recipe before spending credits on variations.
Best for
Urban portrait with vintage CRTs concepts where the example image is close to the result you want.
Not ideal for
Formal ID photos, passport photos, or strict corporate headshots.
Best for
Visual directions built around a portrait-first look that preserves identity while changing the visual treatment.
Not ideal for
Subtle retouching where the original photo should barely change.
Best for
Compositions that benefit from a background that frames the person without competing with facial features.
Not ideal for
Product-only images with no person or character as the subject.
Best for
Fast testing with Seedream 4.5, GPT Image 1.5, and Gemini 3 Pro Image in 3:4 (Portrait).
Not ideal for
Cases where exact wardrobe, pose, and lighting must be legally or medically precise.
How to adapt the prompt
Keep the core idea of Urban portrait with vintage CRTs, then change the details that control identity, style, color, background, and framing.
Style intensity
Dial the style up or down while preserving this intent: a portrait-first look that preserves identity while changing the visual treatment.
Color palette
Keep, limit, or replace the color direction while respecting this goal: colors that support the face, skin tone, wardrobe, and mood without overpowering the subject.
Background simplicity
Use the background as a control surface: a background that frames the person without competing with facial features.
Composition and crop
Start with 3:4 (Portrait). Then adjust the framing around this composition goal: frame the subject clearly for 3:4 (Portrait), with readable facial features and enough breathing room.
Common fixes
If Urban portrait with vintage CRTs is close but not usable yet, make one of these targeted prompt edits before changing everything.
Subject drift
If the subject drifts, add a direct instruction to preserve facial structure, expression, hair shape, and the details that make the person recognizable.
Too busy or chaotic
Ask for fewer competing elements while preserving the intended style: a portrait-first look that preserves identity while changing the visual treatment.
Colors overpower the subject
Limit saturation, reduce competing colors, and keep the palette aligned with this goal: colors that support the face, skin tone, wardrobe, and mood without overpowering the subject.
Image feels flat
Strengthen light direction, depth, and separation using this lighting goal: directional light that gives the face depth while keeping the result flattering.
Prompt variants
Use these as short alternate directions for Urban portrait with vintage CRTs; each variant keeps the recipe recognizable while pushing a different outcome.
Minimal version
A cleaner Urban portrait with vintage CRTs with fewer competing details, restrained color, and a simpler background.
Editorial version
A more campaign-ready Urban portrait with vintage CRTs with stronger styling, clearer hierarchy, and more deliberate lighting.
Softer version
A calmer Urban portrait with vintage CRTs with softer contrast, gentler color, and a quieter background.
Polished version
A refined Urban portrait with vintage CRTs tuned for Seedream 4.5, GPT Image 1.5, and Gemini 3 Pro Image, composed for 3:4 (Portrait), and cleaned up for final use.
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