Nano Banana Pro

High-Contrast Cinematic Portrait

A highly specific JSON prompt for generating a raw, high-contrast cinematic portrait. It emphasizes preserving natural asymmetry and sharp bone definition using dramatic split lighting (warm orange key light and deep teal fill light), while

Prompt text

Original English text. Replace placeholders with your own details.

{
 "type": "image_generation_prompt",
 "output_goal": "Create a cinematic portrait of a woman with a distinct facial structure, preserving sharp bone definition, natural proportions, and realistic hair behavior. The face must remain raw and unbalanced, with visible natural asymmetry and no beautification or softening.",
 "style": "cinematic LED portrait, raw editorial aesthetic, soft focus with structured facial planes, subtle film grain",
 "subject": {
 "pose": "direct frontal framing with slight natural tension",
 "expression": "neutral, slightly intense, unsmiling",
 "skin": "fair skin tone influenced only by lighting, natural texture, no tone correction or smoothing"
 },
 "hair": {
 "style": "slightly messy, loosely pulled back with uneven flyaways and imperfect strands framing the face"
 },
 "wardrobe": {
 "top": "black thin-strap dress with a clean, minimal neckline",
 "jewelry": "delicate necklace with a small circular locket resting at the center of the chest"
 },
 "lighting": {
 "key": "strong warm orange LED light from one side of the face",
 "fill": "deep teal LED shadow from the opposite side",
 "blend": "minimal blending, high-contrast cinematic split lighting"
 },
 "camera": {
 "depth": "shallow depth of field",
 "look": "editorial portrait perspective without facial reshaping"
 },
 "negative_prompt": "beautified face, rounded jaw, facial symmetry correction, clean studio lighting, polished hair, soft glam styling, face smoothing, artificial perfection"
}

Source & attribution

Saul Goodman · Awesome Nano Banana Pro Prompts

Source-listed license: CC-BY-4.0. Prompt text is preserved; titles and previews may be shortened for display. Source examples are not NexGateHub test results.

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