Technology

Not Just ChatGPT: You Can Create 1980s-Style Images on Gemini and Meta AI Too | Step-by-Step Guide

The viral 1980s AI photo trend is taking social media by storm, with users transforming modern photographs into nostalgic retro portraits. While ChatGPT has become a popular choice for the trend, similar image-generation and editing capabilities are also available through tools such as Google Gemini and Meta AI. Here's how you can create an 1980s-inspired image using a simple prompt.

Share
Not Just ChatGPT: You Can Create 1980s-Style Images on Gemini and Meta AI Too | Step-by-Step Guide

Not just ChatGPT, you can create 1980s-style images on Gemini and Meta AI too

A new 1980s retro photo trend has taken social media by storm. People are uploading their modern photographs to AI tools and transforming them into images that look as though they were captured several decades ago—with vintage fashion, hairstyles, film grain, warm lighting and old-school backgrounds.

ChatGPT has been at the centre of the trend, but it isn't the only AI platform capable of producing this nostalgic look. Google Gemini and Meta AI can also be used to create or edit images with detailed natural-language instructions.

The trend has attracted attention because the AI can retain the subject's general appearance while changing the styling, surroundings, lighting and overall photographic character to evoke the 1980s. 

What is the 1980s AI photo trend?

The trend essentially involves taking a recent photograph and asking an AI image tool to reinterpret it as an authentic-looking photograph from the 1980s.

Depending on the prompt, the result can resemble:

  • A classic Bollywood portrait

  • An old family-album photograph

  • A vintage wedding picture

  • An 1980s magazine cover

  • A retro studio portrait

  • A period-correct street photograph

Typical visual elements include film grain, slightly faded colours, soft focus, warm lighting, vintage clothing, period hairstyles and analogue-camera aesthetics. 

How to create an 1980s image using Google Gemini

Step 1: Open Gemini

Open the Google Gemini app or website and start a new conversation.

Step 2: Upload your photograph

Select a clear photograph that you want to transform.

For the best results, choose an image where the face is clearly visible and the subject is reasonably well lit.

Step 3: Add a detailed prompt

Instead of simply writing "make this look like the 1980s", describe the visual details you want.

Try this prompt:

“Transform this photograph into a realistic 1980s Indian portrait. Keep the person's facial features, identity and natural expression consistent. Give the subject authentic 1980s clothing, hairstyle and accessories. Use warm analogue lighting, subtle film grain, slightly faded colours, soft focus and the look of a photograph taken on a vintage film camera. Create a period-accurate background and avoid modern objects, logos or technology.”

Step 4: Refine the result

If the first result does not look sufficiently authentic, add instructions such as:

“Make the image look less digitally generated and more like a genuine 1980s film photograph. Keep the face natural and add realistic analogue film texture.”

Google's image-generation technology supports natural-language image creation and editing, making this kind of iterative prompting possible. 

How to create the same look with Meta AI

The process with Meta AI is broadly similar.

Step 1: Open Meta AI

Open Meta AI through the supported Meta platform available to you.

Step 2: Upload your image

Choose the photograph you want to transform.

Step 3: Give Meta AI a specific instruction

Try:

“Turn this photo into an authentic 1980s Indian family-album photograph. Preserve the person's face and natural features. Change the clothes, hairstyle and background to match the 1980s. Add realistic 35mm film grain, warm vintage lighting, slight colour fading, soft focus and subtle imperfections typical of an old printed photograph. Do not add modern objects or text.”

Step 4: Ask for corrections

If the output looks too modern, try:

“Make it more convincingly 1980s. Reduce the digital sharpness, add natural analogue film grain and slightly faded colours, and use period-correct clothing and background details.”

The key is to describe the period rather than simply asking for an 'old photo'. Specific instructions about clothing, lighting, camera characteristics and surroundings generally give the AI more information about the desired aesthetic.

Best prompts for the 1980s AI photo trend

Classic Bollywood look

“Transform this photo into a glamorous 1980s Bollywood portrait. Preserve the person's facial identity. Add period-correct hairstyle, clothing and jewellery, warm studio lighting, 35mm film grain, soft focus and authentic vintage colour tones.”

Old family album

“Turn this photograph into a genuine-looking 1980s Indian family album photo. Preserve the people and their facial features. Use vintage clothing, an old-fashioned home interior, warm analogue lighting, slightly faded colours, film grain and subtle imperfections.”

1980s wedding photograph

“Recreate this as an authentic Indian wedding photograph from the 1980s. Keep the people recognisable and natural. Add period-accurate traditional clothing, hairstyles, jewellery and decorations, with realistic 35mm film grain and vintage print colours.”

Retro magazine cover

“Transform this portrait into an elegant 1980s Indian film magazine photoshoot. Keep the person's facial features natural, add authentic 1980s fashion and hairstyle, dramatic studio lighting, analogue film grain and a slightly faded vintage colour palette.”

Gemini vs Meta AI vs ChatGPT

All three can be useful for this trend, but the final result can vary depending on the model, the photograph and the prompt.

ChatGPT: Useful for detailed image-editing instructions and iterative changes.

Gemini: Google's image-generation and editing capabilities make it another option for creating retro portraits and experimenting with different visual styles. 

Meta AI: Another convenient option for users already within Meta's ecosystem and looking to experiment with AI-generated or edited visuals.

The viral trend itself is less about a particular platform and more about how precisely the user describes the desired 1980s aesthetic.

Tips for getting a more realistic result

For a convincing retro photograph, don't stop at "make it old."

Mention specific details such as:

  • 35mm analogue film

  • Natural film grain

  • Slightly faded colours

  • Warm or tungsten lighting

  • Soft focus

  • Period-specific clothing

  • 1980s hairstyles

  • Vintage jewellery

  • Older interiors or streets

  • No smartphones or modern technology

  • No contemporary logos

  • Authentic photographic imperfections

Recent examples of the trend show that users are particularly interested in recreating Bollywood, family-album and fashion-photography aesthetics from the 1980s. 

Don't forget to check the AI-generated image

AI-generated photographs can sometimes introduce strange details, including distorted jewellery, inaccurate text, unnatural hands or inconsistent background objects.

Before posting the image, carefully check the face, hands, clothing, accessories and background.

Also remember that an AI-generated retro image is a modern creation—not an actual photograph from the 1980s. If you share it publicly, labelling it as AI-generated can help avoid misleading viewers.

Enjoyed this story? Share it.

Share

Keep reading

More in Technology

View all
With Laya, Sol, Articul8 Puts Language Scholars at Heart of Heritage AI

Technology

With Laya, Sol, Articul8 Puts Language Scholars at Heart of Heritage AI

AI company Articul8 is developing a heritage-focused approach to artificial intelligence through Laya, a Sanskrit model, and Sol, a Tamil m…

3 min read
Scientifically Speaking: The Mouse With Human Brain Tissue
Breaking

Technology

Scientifically Speaking: The Mouse With Human Brain Tissue

Scientists have transplanted lab-grown human brain tissue into genetically engineered mice, creating a new model for studying human brain de…

3 min read
Nippon Express Group Eyes 3x India Business by 2028, Flags India’s Scale as a Challenge
Breaking

Technology

Nippon Express Group Eyes 3x India Business by 2028, Flags India’s Scale as a Challenge

Japanese logistics major Nippon Express Group plans to triple its India business by the end of 2028, targeting revenue of around $380 millio…

8 min read
AI Can Scale Quickly, but Traditional Governance Is Not Enough: Why Enterprises Need a Control Layer
Breaking

Technology

AI Can Scale Quickly, but Traditional Governance Is Not Enough: Why Enterprises Need a Control Layer

Artificial intelligence can move rapidly from pilot projects into products, workflows and enterprise decision-making, but traditional govern…

8 min read
Course Correction? How the Last 10 Days Changed the Way We See AI
Breaking

Technology

Course Correction? How the Last 10 Days Changed the Way We See AI

A series of events over the past 10 days has sharply changed the debate around artificial intelligence, shifting attention from AI's economi…

9 min read
Applied Materials Sees No Demand Risk for India's Chip Push; Ecosystem, Infrastructure the Real Tests
Breaking

Technology

Applied Materials Sees No Demand Risk for India's Chip Push; Ecosystem, Infrastructure the Real Tests

Applied Materials India president Avi Avula said demand is unlikely to be the main obstacle to India's semiconductor ambitions, with both do…

9 min read