Urban portrait with vintage CRTs

A moody portrait framed by stacked CRT TVs and film grain.

Generate a photo like thisExplore the prompt
Example result3:4 (Portrait)
Recommended Workflows
Seedream 4.5, GPT Image 1.5, Gemini 3 Pro Image
Recommended Aspect Ratio
3:4 (Portrait)
Reference Images Required
1 image
Tagsportraitphotographyvintage

01 / The recipe

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.

Want the best model for this? See comparison

Moody urban portrait of me standing against stacked vintage crt tvs and old electronics on a worn wooden floor. I wear an oversized white t-shirt and loose dark pants, hands in pockets, relaxed posture. Cinematic top lighting with deep shadows and rich texture. Shot on 35mm, f/2.8, iso 400, 1/125s. Apply fuji classic chrome preset with warm highlights, strong contrast, slight desaturation, light film grain, and soft vignette for a nostalgic, non-blue tone look. Don't change the face. Use the provided image as face reference.

02 / Make it yours

A little direction goes a long way.

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.
  • Visual directions built around a portrait-first look that preserves identity while changing the visual treatment.
  • Compositions that benefit from a background that frames the person without competing with facial features.
  • Fast testing with Seedream 4.5, GPT Image 1.5, and Gemini 3 Pro Image in 3:4 (Portrait).

Not ideal for

  • Formal ID photos, passport photos, or strict corporate headshots.
  • Subtle retouching where the original photo should barely change.
  • Product-only images with no person or character as the subject.
  • 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.

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.
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.