Nano Banana Pro

The Queen: Automotive Fashion Portrait Prompt (JSON)

A structured JSON prompt for Nano Banana Pro to generate an 8K, photorealistic automotive fashion portrait. The subject is a young woman sitting on asphalt, leaning against the bumper of a matte metallic red-orange supercar, detailing her a

Prompt text

Original English text. Replace placeholders with your own details.

{
 "image_analysis": {
 "subject": {
 "type": "woman",
 "appearance": "young adult, fair skin, long straight dark brown hair draped over shoulder, detailed facial features, neutral to soft expression",
 "pose": "sitting on asphalt road, leaning back against car bumper, body angled slightly, looking directly at camera, hand resting on leg"
 },
 "attire": {
 "top": "{argument name="top apparel" default="black strapless corset bodice, gold buttons down the front, sweetheart neckline"}",
 "bottom": "{argument name="bottom apparel" default="black mini skirt or shorts (matching set)"}",
 "footwear": "black thigh-high leather boots",
 "accessories": "silver luxury watch on left wrist, layered gold pendant necklaces, small earrings"
 },
 "environment": {
 "main_prop": "matte metallic {argument name="car color" default="red-orange"} supercar (resembling a McLaren), focus on front bumper and headlight area",
 "surface": "grey textured asphalt road",
 "lighting": "soft natural daylight, even illumination on subject, soft sheen on car bodywork"
 },
 "technical_style": {
 "medium": "photography",
 "genre": "automotive fashion, editorial portrait",
 "quality": "8k, high resolution, photorealistic, sharp focus on subject",
 "camera_angle": "eye-level relative to seated subject, close-up shot"
 }
 },
 "prompt_tags": [
 "portrait",
 "supercar",
 "matte red car",
 "corset",
 "fashion model",
 "brunette",
 "luxury",
 "street style",
 "sitting on ground",
 "high definition",
 "depth of field"
 ]
}

Source & attribution

Vivek HY · 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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