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Cinematic portrait by a kerosene lamp v1.0.0

Use this resource to generate a cinematic portrait with high-contrast light

New

  • 421 downloads
  • 240 likes
  • 156 saves

Free

Install with the CLI

In a terminal, from the folder you want:

npx --yes palatekit@latest install fisherman-lamplight-portrait

First time: connect the CLI with

npx --yes palatekit@latest login

The prompt describes a fisherman in his sixties sitting in a cabin, who lifts his eyes to the camera without smiling. The kerosene lamp and the rain on the window create warm and cold contrast. You get a realistic, still portrait to keep identical across tests.

Mostly picked by

Updated November 2, 2026

Card for the “Cinematic portrait by a kerosene lamp” prompt

Details

Generates with
Your agent's model
Licence
MIT

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What you get

  • The full prompt, ready to paste
  • Versions for several video models (Seedance 2.0, Kling 3.0, Veo 3.1, Wan 2.7)

Good fit for

  • A documentary or short-film sequence
  • A character visual to test a mood

Not for

    Tags

    • video
    • portrait
    • light

    About

    You say

    “The same fisherman, seated by a window in daylight with soft light.”

    Card for the “Cinematic portrait by a kerosene lamp” prompt

    Prompt published by inconnu under the MIT license, delivered in its original version.

    Show more

    How to use it

    1. Paste the prompt into your video generator
    2. Adapt the subject, setting and duration
    3. Generate, then refine one shot at a time

    Content preview

    Files

    • fisherman-lamplight-portrait.md5.9 KB
    • LICENSE1.1 KB
    • NOTICE-PALATEKIT.md0.5 KB

    Origin and licence

    Listed unmodified

    Author
    inconnu
    Source
    github.com/manallen/awesome-ai-video-prompts/blob/19654b9a894986d3e1d02e5845bca5856b86f438/prompts/scenes/scene-03-character-portrait.json
    Licence
    MIT

    Notice

    « Cinematic portrait — lamplight on a weathered face » (inconnu, MIT) livré dans sa version d'origine : fiche en français et en anglais par PalateKit.

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