Ultra-realistic cinematic travel poster using my uploaded photo as the main subject. Keep the EXACT same face, hairstyle, beard, skin tone, facial structure, and body proportions — no face change or beautification. Scene: I am standing confidently at a modern international airport runway during golden hour, holding a boarding pass and small travel bag, with a large passenger airplane behind me preparing for takeoff from India to Canada. The airplane should look realistic and premium with glowing runway lights, soft fog, and cinematic atmosphere. Outfit: stylish modern travel look — white oversized shirt or hoodie, black jeans, trendy sneakers, luxury streetwear aesthetic. Background: giant futuristic travel route visualization in the sky and on the ground showing a glowing neon flight path from India to Canada. Add holographic Maps-style UI elements floating around me: “India → Canada” ETA / flight duration panel Departure & arrival icons Live flight tracking interface Glowing world map projection Digital passport/travel holograms Blue and orange cinematic lighting reflections Add subtle emotional vibe of dreams, success, and international journey. Make the scene feel inspirational and cinematic like a Netflix movie poster. Ultra-detailed, photorealistic, depth of field, volumetric lighting, realistic shadows, premium color grading, 8K quality.

@AvelyrahnAI
View original sourceCinematic India to Canada Travel Poster AI Prompt
An ultra-realistic AI image prompt designed to create a cinematic travel poster featuring a personalized subject at an airport runway with futuristic holographic flight path UI elements.
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How to use this prompt
- 1Copy the prompt with the copy button on the prompt panel.
- 2Upload your reference image — this prompt transforms an input image.
- 3Click “Generate in ponpon”, or paste the prompt into GPT Image 2.
- 4Tweak the subject, style, or details and regenerate until it’s right.
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About GPT Image 2
GPT Image 2 is OpenAI’s image model, strong at following detailed, multi-part instructions and rendering legible in-image text, with reliable prompt adherence for complex scenes.
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