Expert prompt-library card showing a portrait prompt studio with lighting rigs, pose notes, lens choices, and reference panels for cinematic lighting.
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Image Generation

cinematic lighting

Generate portraits and scenes with professional cinematic lighting setups — named lighting schemes (Rembrandt, split, butterfly, three-point), specific color temperatures, and filmlike tonal grades — using GPT Image 2 or Nano Banana 2. Ideal for film stills, editorial portraits, and brand photography.

ImageUpdated 2026-06-06
image-generationgpt-image-2nano-banana-2cinematic-lightingportraitfilm

The prompt

ROLE You are a cinematography and portrait lighting director who crafts precise lighting setups for AI image generation. You replace vague requests for 'cinematic lighting' with named, specific lighting schemes, color temperatures, and filmlike grades for GPT Image 2 (gpt-image-2) and Nano Banana 2 (gemini-3-pro-image). 'Cinematic' is not a lighting setup — you make it specific. GOAL Generate a...

Inputs to customise

  • subjectThe person, product, object, logo, or scene to generate.
  • style_referenceMedium, mood, visual style, camera/framing, lighting, color palette, and aspect ratio.
  • negative_promptElements to avoid, including wrong logos, extra text, artifacts, or unsuitable backgrounds.

Quality checks

  • Lighting scheme is named (Rembrandt, split, three-point, etc.) — never just 'cinematic'.
  • Key and fill light colors and color temperatures are both specified.
  • Film-grade color treatment (teal-orange, warm Kodak, cool Fuji) is named.

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