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Bhai Dooj is all about celebrating the timeless bond between brothers and sisters. This year, instead of posting standard festive greetings, a beautiful new trend is taking over social media: recreating nostalgic childhood memories using AI. Siblings are using vintage-style AI prompts to step back in time, bringing back those sweet 80s and 90s verandah setups, simple steel thalis, and innocent childhood smiles.
In this guide, we have created 4 highly detailed, original AI photo prompts that will help you transform your current pictures into emotional, retro-themed Bhai Dooj masterpieces. Whether you want to recreate the classic tika ceremony, a playful sweet-stealing moment, or a cozy evening gift exchange, these prompts will deliver stunningly realistic results.
Note: Every sample image below was made by the Prompt Banao team from the exact prompt shown, using Gemini. People in the samples are AI-generated, not real. Your result will look different with your own photo.

Sample made with this prompt in Gemini.
Using my uploaded photo as the reference, keep my face and features exactly the same, and transform me into a 10-year-old Indian sister wearing a simple red cotton salwar kameez, sitting on a colorful hand-woven mat in a sun-drenched 1990s house verandah. Next to me is my little brother in a striped polo t-shirt. I am lovingly applying a vermilion tilak on his forehead. A traditional stainless steel thali with sweets and a clay diya sits nearby. Vintage 35mm film aesthetic, warm golden hour lighting, soft grain, shallow depth of field, 4:5 aspect ratio.
Tip: For the best face swap and age-regression, upload a clear, front-facing photo with even lighting and a neutral smile.

Sample made with this prompt in Gemini.
Using my uploaded photo as the reference, keep my face and features exactly the same, portraying me as an 8-year-old Indian brother in a vintage collared shirt. I am playfully stealing a piece of kaju katli from a brass puja thali held by my elder sister, who is wearing an orange frock and laughing. Set in a classic Indian living room with wooden furniture and a retro floral curtain. Soft indoor flash photography, slightly faded colors, nostalgic 80s vibe, 4:5 aspect ratio.
Tip: To capture the authentic 80s feel, write specific retro clothing items like 'polka dots' or 'knitted cardigan' in your edits.

Sample made with this prompt in Gemini.
Using my uploaded photo as the reference, keep my face and features exactly the same, depicting me as a young adult Indian sister in a traditional yellow bandhani dupatta. I am performing the Bhai Dooj aarti for my younger brother, who is sitting on a wooden stool wearing a white kurta. We are on a nostalgic open terrace during twilight, with a warm orange sky in the background. Captured with a vintage DSLR camera, soft focus, warm nostalgic glow, emotional cinematic color grade, 4:5 aspect ratio.
Tip: If the background feels too busy, you can add 'soft focus background' to make the main characters stand out.

Sample made with this prompt in Gemini.
Using my uploaded photo as the reference, keep my face and features exactly the same, and show me as a young teenage brother in a vintage knitted sweater. I am happily handing a wrapped gift box to my older sister, who is wearing a green knitted cardigan. We are sitting on a classic vintage sofa under warm yellow lamplight. Polaroid photograph style, soft flash, square composition, retro color tones, nostalgic winter evening vibe, 1:1 aspect ratio.
Tip: Use the 1:1 aspect ratio for this prompt to perfectly mimic a real retro Polaroid photo frame.
Yes! You can use them with free tools like Bing Image Creator or Gemini, though tools that support face-reference (like Remaker AI or ChatGPT) will work best for keeping your exact face.
Upload a high-quality, front-facing portrait with neutral lighting. Avoid filters, sunglasses, or extreme angles so the AI can map your features accurately.
Absolutely! We have included prompts designed from both the brother’s and the sister’s perspective. Just choose the one that fits your role.


