AI Identity Preservation Prompt: I Tested a Real Photo to See How Well It Works

A Realistic Photo Experiment.

I tested an experimental AI image generation prompt designed to preserve facial identity from a reference photo while changing the scene, pose, clothing control, lighting, and photographic style.

Identity Preservation AI Image Generation Photorealistic Prompt Reference Image Prompt Experiment

The Question Behind This Experiment

This experiment started with a simple question: can a detailed AI image generation prompt preserve the recognizable identity of people from a reference photograph while creating a completely different photographic scene?

Instead of using a short instruction such as “make a realistic couple photo”, I built the prompt in several layers. Identity comes first, followed by pose and interaction, getup and dress, environment, lighting, camera characteristics, texture and finally instructions designed to reduce common image-generation errors.

The goal was not to create a magic formula. I wanted to see how much control could be achieved by describing the important visual elements more precisely.

The experiment in one sentence Preserve the people as closely as possible while placing them inside a new, carefully controlled photorealistic scene.

Step 1 — The Reference Image

The original photograph is used as the primary visual reference. The prompt specifically asks the image model to retain recognizable facial characteristics instead of treating the photograph only as general inspiration.

Original Reference Photo

Source photograph used as the identity and appearance reference.

Step 2 — Full AI Image Generation Prompt

Here is the complete experimental prompt. It is intentionally displayed inside a scrollable prompt viewer so the entire instruction can be read and copied without making the page extremely long.

Identity Preservation Prompt

Use the uploaded photo as the primary identity reference for both people. Preserve both faces as closely and faithfully as possible to the reference, including face shape, eyes, eyebrows, nose, lips, jawline, skin tone, natural asymmetry, age appearance, facial hair and distinctive features. Keep their expressions natural, candid and emotionally believable. Do not redesign, beautify, merge or replace their identities.

Create an ultra-photorealistic lifestyle editorial portrait in a sunlit Kerala courtyard. The man stands slightly behind and to the right of the woman, gently leaning toward her and placing a soft affectionate kiss directly on the upper forehead, centered above her eyebrows and clearly away from her eyes, eyelids, nose, cheek and lips. His lips must visibly contact only her forehead. She tilts her head naturally toward him with softly closed eyes, chin slightly lifted and a genuine warm, relaxed smile. His left hand rests modestly at her waist while her arms remain relaxed at her sides.

Preserve the couple’s original clothing exactly as shown in the reference photo, including the man’s maroon kurta and the woman’s original maroon saree, blouse, gold border, jewelry, bangles and hairstyle. Do not replace, recolor or redesign their outfits.

Use a cream plaster wall with a dark wrought-iron decorative panel and graphic shadow on the left, dense tropical palm foliage on the right, and natural ground with a few dry leaves. Warm late-morning sunlight from upper left, realistic rim light, natural shadows and subtle jewelry highlights. Eye-level camera, vertical 3:4 composition, three-quarter body from mid-thigh upward, centered couple. Simulate 50mm at f/2.2, ISO 100, handheld candid photography with both faces sharply focused and the background softly separated.

Use realistic skin pores, fine hair strands, fabric weave and environmental textures, natural warm skin tones and realistic dynamic range. High-resolution Full HD/4K, professional photorealistic quality. Avoid identity drift, facial distortion, plastic skin, excessive retouching, unnatural anatomy, malformed hands or fingers, artificial lighting, HDR, oversaturation, CGI or illustration.

Pose & Interaction — What Can Be Changed?

The pose is mainly controlled by the interaction and positioning instructions in the prompt. If you want to use the same AI photo editing prompt for a different pose, this is one of the first sections to modify.

Pose elements that can be changed

• Position: Who stands in front, behind, left or right.
• Body posture: Standing, sitting, walking, leaning or turning.
• Body angle: Front-facing, side-facing or three-quarter position.
• Head direction: Looking at the camera, looking at each other or looking away.
• Head tilt: Natural tilt toward another person or a specific direction.
• Hand placement: Hands at the waist, shoulders, sides or holding another object.
• Interaction: Standing together, holding hands, hugging or another natural interaction.
• Expression: Smile, relaxed expression, serious expression or candid emotion.
• Camera relationship: How the subjects face and relate to the camera.

Getup / Dress — What Can Be Changed?

The clothing instructions are separate from the pose instructions. This makes it easier to reuse the same reference image prompt while experimenting with different outfits or maintaining the original clothing.

Getup and clothing elements that can be changed

• Main outfit: Saree, kurta, shirt, suit, dress or other clothing.
• Color: Change the primary or secondary clothing colors.
• Fabric: Cotton, silk, linen, wool or another material.
• Design: Plain, printed, embroidered or traditional styling.
• Jewelry: Necklace, earrings, bangles, rings or other accessories.
• Hairstyle: Keep the original hairstyle or specify a new one.
• Footwear: Traditional, casual or formal footwear.
• Overall look: Traditional, casual, festive, formal or editorial.

Step 3 — The Tested Result

This is where the experiment becomes more useful than simply publishing the prompt. The image below is the actual test result I am using to evaluate how well the instructions work together.

Generated Test Result

Photorealistic result generated from the reference photograph and the experimental identity-preserving AI prompt.

How I Built the Prompt

When I first looked at the prompt, it felt a little long. But every part was there for a reason.

I wasn't just telling the AI to “make a realistic photo.” I wanted to guide it step by step — who the people should look like, what they should do, what they should wear, where they should be, and how the final photo should look.

Here’s how I broke it down.

01 — First, I Focused on the Faces

The most important part of this experiment was keeping the people recognizable.

So I described things like their face shape, eyes, nose, lips, skin tone, hair and other small details. The idea was simple: change the scene, but try not to change the people.

02 — Then I Explained the Pose

Next came the question: What should they actually be doing?

Instead of simply saying “make a romantic couple photo,” I explained where each person should stand, how they should move, where their hands should be and how they should look at each other.

The more clearly I described the moment, the easier it was to imagine the photo I wanted.

03 — I Tried to Keep Their Clothes the Same

I also didn't want the AI to randomly give them completely different clothes.

So I mentioned the saree, kurta, jewelry, hairstyle and other details from the original photo.

This part was important because even a small change in clothing can make the final image feel like it is showing completely different people.

04 — Then I Created the New Place

After the people and their clothes, I thought about where I wanted the photo to happen.

I described the wall, plants, shadows, sunlight and even a few dry leaves on the ground.

Instead of leaving the background up to the AI, I gave it a rough picture of the place I had in mind.

05 — I Added Some Camera Details

This is where I started thinking more like a photographer.

I added things like the camera angle, 50mm lens, aperture, lighting and composition.

I didn't expect these settings to magically make the picture perfect. I simply wanted to give the AI a better idea of what kind of photograph I was trying to create.

06 — Then I Added Small Details

Real photographs have lots of tiny details.

Skin doesn't look like plastic. Hair has individual strands. Clothes have visible fabric. Jewelry catches light.

So I added these details to make the result feel less like an AI-created picture and more like a photograph that could actually have been taken with a camera.

07 — I Also Told the AI What I Didn't Want

This part is easy to overlook.

I added instructions to avoid things like strange hands, distorted faces, plastic-looking skin and other common AI mistakes.

Of course, this doesn't mean the AI will always listen perfectly. It's more like giving it a list of things I wanted it to stay away from.

08 — Finally, I Put Everything Together

At the end, all these little instructions work together.

The face instructions try to keep the identity. The pose creates the moment. The clothing keeps the original look. The background creates the new scene. And the camera and texture details help give the image a photographic feel.

That was the whole idea behind my prompt: don't leave everything to the AI. Give it enough direction to understand the picture I had in my head.

One Important Limitation

A detailed prompt does not automatically provide perfect control. Different image-generation systems can interpret the same written instructions differently, particularly when a reference image, multiple people, physical interaction, and detailed composition are involved.

Because of that, I would not describe this as a “100% identity preservation prompt.” It is better understood as an experimental instruction set designed to improve control over an AI-generated image.

Thank you for being with me, supporting me, and trusting the process. Your support truly means a lot.

With gratitude,

Srinu.

Frequently Asked Questions

What is an identity preservation AI image prompt?

It is a prompt designed to instruct an image-generation system to keep recognizable characteristics from a reference photograph while generating a new image or scene.

Can the pose be changed without changing the whole prompt?

Yes. In this experiment, the pose and interaction instructions are separated from identity and clothing instructions, so those parts can be modified independently.

Can the clothing or getup be changed?

Yes. The clothing section can either preserve the original outfit or be rewritten to describe a different outfit, color, fabric, accessories or overall style.

Does this prompt guarantee the same face?

No. A prompt can strongly describe the intended identity preservation, but the final result depends on the image-generation system, its reference-image capabilities and how it interprets the instructions.

What makes this different from a basic photorealistic AI prompt?

The experiment combines identity preservation, pose, clothing, environment, lighting, camera characteristics, texture and unwanted-result controls instead of relying on a short generic request for a realistic photograph.

Can this prompt be adapted for other AI image generators?

The general structure can be adapted, but results may vary between image-generation systems. Some models respond differently to reference images, camera terminology and negative instructions.