Candid Street Photography with Cat
A hyper-realistic prompt for capturing a lifestyle street scene of a woman with a pet, featuring shallow depth of field and warm 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
Hyper-realistic street snapshots, the main subject is{argument name="subject" default="A beautiful young woman with long dark hair"} Wearing{argument name="clothing" default="Wearing a white fitted tank top, pink wide-leg pants, and white sneakers, with a beige canvas bag on her back."} They were casually sitting on the sidewalk, and {argument name="action" default="Gently stroke a tabby cat"} A vibrant public street atmosphere, colorful shops, cinematic natural light, soft shadows, casual snapshot perspectives, lifestyle photography, a warm travel atmosphere, high detail, shallow depth of field, realistic skin texture, natural poses, iPhone photography style, 9:16 portrait mode.Prompt variables
Editable argument placeholders found in the prompt, with their default values.
Variable
subject
Default
A beautiful young woman with long dark hair
Variable
clothing
Default
Wearing a white fitted tank top, pink wide-leg pants, and white sneakers, with a beige canvas bag on her back.
Variable
action
Default
Gently stroke a tabby cat
Reuse and source notes
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- 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.