How to create viral 1980s vintage style photos using ChatGPT

HIGHLIGHTS

Turn your photos into nostalgic 1980s-style portraits with ChatGPT.

Upload a photo and use detailed prompts to get the retro look.

Try different prompts, scenes and edits to create your perfect vintage image.

You may have recently noticed a viral trend on Instagram where people are transforming their photos into 1980s vintage-style portraits using AI. While the AI photo trend is not something new, this one brings back the charm of the 1980s with its nostalgic colours, retro fashion, soft lighting, and old-school cinema vibes. Much like every other trend up until now, the 1980s viral photo trend is also backed by ChatGPT. If you’re wondering how to create these viral 1980s vintage-style photos using ChatGPT, here’s a quick guide including the prompt on how to get started.

How to create your own vintage 1980s photo with ChatGPT

If you want to create a 1980s vintage image for yourself, you’ll first need to head to the ChatGPT website > log in > upload a reference image > enter a detailed prompt for converting your image to 1980s style > tap the send button. 

Now, the AI tool will process the image and convert it into the 1980s style. If you do not like the output generated by the AI tool, then feel free to ask the AI tool to make the edits you want in the generated image. You can also re-prompt or use an entirely different image to get more desired output. Lastly, download the image and upload it on your social media.

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Viral 1980s prompt

If you don’t want to write a prompt yourself then you can also copy and paste the prompt provided below. Feel free to edit the prompt to your liking:

Prompt 1:

Using my uploaded photo, show me what I would have looked like around 1980. Preserve my identity, facial features, skin tone, age, and recognizable appearance. Reimagine my hair, clothing, accessories, and surroundings with bold, unmistakably mid-1980s styling expressive silhouettes, statement accessories, layered details, distinctive colors, and textures. Make it feel like a genuine 1985 photograph with analog grain, faded color, direct flash, and subtle softness. Add a period-accurate 1980s red-orange date stamp in the lower corner. No modern objects or text.

Prompt 2:

Using my uploaded photo, show me what I would have looked like around 1980 while preserving my identity, facial features, skin tone, age, natural proportions, and recognizable appearance. Reimagine my hair, clothing, and accessories with bold, authentic mid-1980s styling, and place me on a rainy city street at night with wet reflective pavement, puddles, vintage streetlights, glowing storefronts, umbrellas, misty rain, and blurred headlights. Make the scene feel like a genuine 1985 photograph with analog film grain, faded colors, direct flash, subtle softness, realistic reflections, and slight vintage imperfections. Add a subtle period-accurate red-orange 1980s date stamp in the lower corner. No modern objects, cars, technology, signage, text, or contemporary styling.

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Prompt 3:

Using my uploaded photo, show me what I would have looked like around 1980 while preserving my identity, facial features, skin tone, age, natural proportions, and recognizable appearance. Reimagine my hair, clothing, and accessories with bold, authentic mid-1980s styling, and place me on a scenic Hill Road with winding mountain roads, lush hills, misty air, vintage roadside details, and a nostalgic 1980s atmosphere. Make the scene feel like a genuine 1985 photograph with analog film grain, faded colors, direct flash, subtle softness, natural lighting, and slight vintage imperfections. Add a subtle period-accurate red-orange 1980s date stamp in the lower corner. No modern objects, cars, technology, signage, text, or contemporary styling.

Bhaskar Sharma

Bhaskar is a Senior Copy Editor at Digit India who keeps a close watch on everything shaping the world of technology from smartphones and home appliances to AI, government tech initiatives, digital safety, and the latest industry developments. Whether it's breaking news, in-depth features, hands-on reviews, practical how-to guides, or exclusive scoops, he translates complex tech into stories that are easy to understand and worth reading. His work has been featured in iGeeksBlog, GuidingTech, and other leading publications. Before joining Digit India, he served as an assistant editor at TechBloat. A B.Tech graduate and full-time tech journalist, he is driven by just one goal, which is to help readers stay informed, stay secure, and stay ahead in an ever-changing digital world.

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