Nano Banana Pro
Prompts

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Prompts

1
Feb 8, 2026

Ultra Analog Film Candid Romance Scene

Ultra Analog Film Candid Romance Scene

A highly structured JSON prompt designed for generating an ultra-analog film image of a couple kissing on a pedestrian bridge at blue hour. The prompt specifies detailed camera settings, film stock characteristics (Portra 800/Cinestill 800T vibe), subject appearance, and texture fidelity for a hyper-realistic, candid romance aesthetic.

Prompt
{ "meta": { "project": "analog_bridge_kiss_city_bokeh", "style": "ultra_analog_film_candid_romance", "aspect_ratio": "4:5", "output_type": "single_image", "priority": "highest" }, "scene": { "location": "pedestrian bridge / waterfront promenade at dusk", "environment": "city skyline across water, distant high-rises softly blurred, bridge structure creating a dark diagonal leading line on the right", "time": "blue hour (post-sunset)", "weather": "clear, cool air", "mood": "intimate, spontaneous, lived-in night" }, "subjects": { "couple": { "pose": "standing close at the railing, kissing", "woman": { "appearance": "short dark hair tucked behind ear, subtle natural makeup", "wardrobe": "dark jacket, minimal jewelry", "action": "left hand cradling the back of his head/neck while kissing, calm soft expression" }, "man": { "appearance": "wavy medium-length hair, light stubble", "wardrobe": "tan/brown leather jacket over a white t-shirt, dark jeans, thin chain necklace", "action": "leaning back slightly into the railing, relaxed posture, one hand resting near hip/railing" } } }, "composition": { "framing": "medium close shot, couple centered slightly right, railing visible at waist level, skyline bokeh in background", "foreground": "subtle dark vignette / edge occlusion like a film gate or lens hood", "background": "soft city lights as round bokeh, water surface barely visible, bridge structure forming a bold diagonal" }, "camera": { "lens": "35mm vintage prime (or 50mm equivalent), wide open", "aperture_feel": "f/1.8–f/2.0 shallow depth of field", "focus": "focus locked on faces and lips; background heavily defocused", "exposure": "slightly underexposed highlights protected; no blown sky", "stabilization": "handheld documentary feel, steady (no jitter)" }, "analog_look": { "film_stock": "Kodak Portra 800 (blue-hour friendly) OR Cinestill 800T vibe (very subtle halation)", "grain": "prominent but natural film grain", "contrast": "low-mid contrast, lifted blacks, soft roll-off in highlights", "color": "cool blue ambient shadows + warm skin tones; gentle amber practical lights", "halation": "subtle around distant point lights only (not exaggerated)", "lens_character": "slight softness, mild chromatic aberration at edges, gentle corner falloff", "imperfections": "tiny dust specks, faint gate weave feel, very light vignette" }, "texture_fidelity": { "skin": "real pores, natural sheen, no plastic smoothing", "leather": "visible grain, creases, patina on jacket", "fabric": "t-shirt cotton weave visible, jacket lining subtle texture", "hair": "individual strands and flyaways, no clumping" }, "constraints": { "perfect_anatomy": true, "correct_hands": true, "no_extra_fingers": tru }

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Common Questions

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.
They are curated mainly from public Twitter/𝕏 sources. If you are the author and wish to opt out, please contact us for immediate removal.
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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