90s Indonesian Drama Rain Scene
Emotional footage styled like a 1990s Indonesian trendy drama, depicting a couple running through a sudden city rain shower at night.
This is a seedance-2-0 prompt case for Portrait & Character. Use the copy-ready prompt below to generate similar visuals, and review Awesome Seedance 2.0 Video Prompts attribution plus commercial-use rights before reuse.
Need the full prompt set? Use the Portrait & Character topic hub for more related examples, or open the GPT Image 2 prompt library for the full example index, reusable structures, and source attribution.
Prompt
Copy-ready prompt
Nostalgic and emotional footage in the style of a 1990s Indonesia trendy drama. City at night. An Indonesian salaryman and a Sundanesse office lady in their early twenties are running together in a sudden rain shower. Both are soaking wet, with rain clinging to their hair and clothes, laughing breathlessly. The man is wearing a dark suit typical of the 90s.
More cases in this category
Prioritized by category, input mode compatibility, quality, and lower risk.

Vintage Film Projection Portrait
Image to Imageunknown

Neon Ghost Night Portrait
Text to Imageunknown

Windblown Woman on Misty Mountain
Text to Imageunknown

Photoreal Claire Face Restoration
Image to Imageunknown

Faded Summer Memory Style DNA
Text to Imageunknown

Direct Flash Editorial Portrait
Text to Imageunknown
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 restricted. Review the original source, license, brand constraints, and legal requirements before paid usage.
Where does this case come from?
This case is imported from Awesome Seedance 2.0 Video Prompts; keep attribution visible and check the source URL before reuse.