Urban Streetwear Sidewalk Portrait
A stylish urban portrait prompt featuring retro gaming graffiti, 90s fashion, and cinematic natural lighting.
This is a gpt-image-2 prompt case for Portrait & Character. Use the copy-ready prompt below to generate similar visuals, and review YouMind OpenLab awesome-gpt-image-2 attribution plus commercial-use rights before reuse.
Prompt
Copy-ready prompt
A street-style portrait in the sunlight: a stylish young man sits casually on a concrete sidewalk, with a closed metal garage door in the background, painted with {argument name="background theme" default="Retro Street Fighter II style graffiti"} He was wearing{argument name="outfit top" default="shiny black oversized shirt"} Layered silver necklaces, paired with{argument name="outfit bottom" default="Loose-fitting jeans with distressed graphic patches"} And black and white sneakers. Wearing retro 90s headphones, his expression is calm and confident. The soft natural light has a delicate halo, presenting a cinematic urban magazine quality. From a slightly downward angle, the skin tone is realistic, and the details and textures are rich.Prompt variables
Editable argument placeholders found in the prompt, with their default values.
Variable
background theme
Default
Retro Street Fighter II style graffiti
Variable
outfit top
Default
shiny black oversized shirt
Variable
outfit bottom
Default
Loose-fitting jeans with distressed graphic patches
Reuse and source notes
Use this prompt safely after previewing the case.
- 1.Copy the prompt or open it directly in Dovoo with the generation button.
- 2.Adjust variables, aspect ratio, and reference images for your own use case.
- 3.Before publishing or paid usage, verify source rights, attribution requirements, and brand or likeness risks.
Can I use this prompt commercially?
Commercial-use status is unknown. Review the original source, license, brand constraints, and legal requirements before paid usage.
Where does this case come from?
This case is imported from YouMind OpenLab awesome-gpt-image-2; keep attribution visible and check the source URL before reuse.