Nano Banana Pro
Prompts

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Prompts

1
BY@Bethany
Mar 19, 2026

1970s Retro Kitchen Portrait with K-Pop Idol

1970s Retro Kitchen Portrait with K-Pop Idol - 1
1970s Retro Kitchen Portrait with K-Pop Idol - 2
1970s Retro Kitchen Portrait with K-Pop Idol - 3
1970s Retro Kitchen Portrait with K-Pop Idol - 4

A highly detailed JSON prompt for Nano Banana to generate a 1970s retro-aesthetic kitchen scene featuring a K-Pop idol (Sadie Sink, Millie Bobby Brown, Emma Myers, or Bethany). It requires using a biometric reference image for facial structure, specifies a playful pose (sitting on the counter, winking), and meticulously details the wardrobe (burgundy and white romper, Mary Jane heels) and environment (checkered backsplash, vintage props, soft-box studio lighting).

Prompt
{ "subject": { "identity": { "biometric_reference": "Your reference image", "facial_biometry": { "structure": "To be derived from the reference image", "eyes": "To be derived from the reference image", "nose": "To be derived from the reference image", "mouth": "To be derived from the reference image", "hair": "To be derived from the reference image" } }, "body": { "somatotype": "To be derived from the reference image", "skin": { "tone": "To be derived from the reference image", "physics": "Subsurface scattering enabled, realistic epidermal micro-texture, zero beautify smoothing, visible natural skin pores", "details": "To be derived from the reference image" } } }, "wardrobe": { "top_piece": "Off-the-shoulder white #FFFFFF cotton-spandex romper, elasticated puff sleeves, centered dark burgundy #4B0000 silk ribbon bow", "legwear": "Opaque white #FFFFFF knee-high cotton socks, matte texture", "footwear": "Glossy dark burgundy #4B0000 Mary Jane platform heels, double ankle straps with silver buckles", "accessories": "Dark burgundy #4B0000 velvet hair ribbons, matching thin dark burgundy choker with a small metallic pendant" }, "pose_action": { "primary_pose": "Sitting on a kitchen countertop, right leg extended, left leg slightly bent, leaning on right arm for support", "expression": "Playful wink with right eye closed, authentic nasolabial fold activation, natural smile showing upper dentition", "interaction": "Left hand holding a small vintage-style snack package, fingers articulated with anatomically correct joints" }, "scene": { "environment": "1970s retro-aesthetic kitchen", "background_elements": { "wall": "Off-white matte finish with vintage Japanese-style city-pop posters and magazine clippings", "backsplash": "Checkered dark burgundy #4B0000 and white #F5F5FF square ceramic tiles, realistic grout lines", "countertop": "White marble texture with subtle grey veining", "props": "Vintage beige record player with a rotating black vinyl disc, dark burgundy aluminum cans #4B0000, scattered yellow and dark burgundy snack bags" }, "cabinetry": "Muted dark burgundy #4B0000 lower cabinets with polished chrome handles, integrated retro oven unit" }, "lighting": { "setup": "Soft-box studio lighting mimicking 70s film photography, warm color temperature", "physics": "Accurate specular highlights on glossy surfaces, soft contact shadows on the countertop, ambient occlusion in tile corners", "reflection_integrity": "Realistic mirror-like reflections on the vinyl record and chrome handles, no distorted geometries" }, "ca"

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Nano Banana Pro is Google's latest multimodal AI model featuring multimodal understanding (text, images, and video), high-quality generation from photorealistic to artistic styles, fast iteration with quick edits and variations, diverse styles from pixel art to oil paintings, precise control over composition and lighting, and complex multi-object, multi-character scene rendering.
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Simply copy the prompt and use it in YouMind with the 'Nano Banana Pro' image generation model according to the description. We are working on a tighter integration for one-click usage in the future.
It helps you consolidate your content creation and learning best practices into YouMind Shortcuts. This enables one-click generation based on your materials—like turning a YouTube video into a blog post or extracting quotes from an article.
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