
90s Retro Film Driving Shot
A high-energy, sun-drenched close-up shot of a character driving a convertible along a highway, styled with vintage film grain.
This is a gpt-image-2 prompt case for 人像角色. 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 high-energy, retro-movie close-up shot. The camera is positioned directly in front of the windshield, creating a dynamic wide-angle perspective. The character (based on an uploaded image) is driving a {argument name="car type" default="Retro convertible"} exist{argument name="location" default="California Highways"} Driving on the road; the car's color is random but coordinates with the character's atmosphere and style. The main body is {argument name="expression" default="laughing out loud"} The foreground features a blurred hand holding a steering wheel (with a strong background blur effect), keeping the focus strictly locked on the facial expression. The overall aesthetic presents a high-saturation, high-contrast, sunny style, with a unique 90s retro film grain texture and magazine-style feel.Prompt variables
Editable argument placeholders found in the prompt, with their default values.
More cases in this category
Prioritized by category, input mode compatibility, quality, and lower risk.






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.