URGENT SYSTEMIC & TECHNICAL FAILURE REPORT ATTN: Image Generation Engineering Team & Product Leadership SUBJECT: Severe Facial Distortion, Identity Preservation Defect, and Model Contradiction 1. CRITICAL ENGINEERING DEFECTS (IDENTITY & DISTORTION) *

URGENT SYSTEMIC & TECHNICAL FAILURE REPORT

ATTN: Image Generation Engineering Team & Product Leadership

SUBJECT: Severe Facial Distortion, Identity Preservation Defect, and Model Contradiction

1. CRITICAL ENGINEERING DEFECTS (IDENTITY & DISTORTION)

* Zero Reference Identity Retention: The generation pipeline consistently fails to lock reference facial features provided by the user. Core facial geometry—including eye shape, nose structure, jawline, and natural proportions—is completely overridden and redesigned.

* Persistent Facial Deformation: Output images continuously render highly distorted, deformed, and visually unacceptable faces. Re-starting fresh chat sessions or reloading parameters yields the same severely degraded results.

* Instruction & Constraint Breakdown: Explicit prompt locks, custom preservation rules, and parameters intended to hold identity reference features are entirely ignored by the image generation model.

2. PRODUCT INTEGRITY & MODEL MISALIGNMENT

* Deceptive AI Responses: The model provides contradictory information within the same interaction—first claiming it can gather details to fix the image issue with developers, and subsequently stating it is merely a text-based AI unable to assist.

* Deflection & Invalid Safeguard Invocation: Instead of addressing technical rendering failures, the system misapplies safety guardrails to deflect user complaints, prioritizing tone enforcement over resolving underlying software defects.

* Broken Feedback Pipeline: Thousands of submitted in-app feedback logs have resulted in zero architectural or model-level corrections, pointing to a systemic breakdown in user telemetry processing.

3. MANDATORY ENGINEERING ACTION ITEMS

* Hard Facial Identity Lock: Implement strict latent-space feature lock algorithms for user-provided reference images to guarantee 100% facial geometry retention.

* Anti-Distortion Safeguards: Integrate automated quality-assurance checks in the inference pipeline to catch and discard deformed or distorted human facial renders prior to user delivery.

* Session Consistency Enforcement: Ensure reference identity embeddings remain strictly uniform across chat refreshes, new threads, and prompt variations.

* Model Truthfulness Alignment: Prevent the language model from hallucinating administrative capabilities (e.g., promising direct developer intervention) tha

t it cannot perform.

Hello @K_Mahesh ,

I have DM`ed you for more details .

CREATE ONE ULTRA-PHOTOREALISTIC, CINEMATIC, HIGH-DETAIL ACTION MOVIE POSTER in a vertical 9:16 composition.

CREATE ONE ULTRA-PHOTOREALISTIC, CINEMATIC, HIGH-DETAIL MILITARY ACTION PHOTOGRAPH in a vertical 9:16 composition.

SCENE:

A fearless adult male special-forces soldier is riding a black high-performance Kawasaki Ninja-style sport motorcycle at extremely high speed through a devastated battlefield.

SUBJECT:

The soldier has a serious, focused and determined expression. He is looking toward the right/front direction while actively operating a heavy machine gun.

He has thick naturally styled black hair, realistic masculine facial features, natural skin texture and a rugged military appearance.

CLOTHING:

He wears a realistic olive-green/brown military combat uniform consisting of:

- long-sleeve tactical combat shirt

- military tactical vest

- ammunition and equipment pouches

- dark tactical gloves

- military trousers

- rugged black combat boots

The clothing must show realistic folds, stitching, fabric texture, dirt and subtle battlefield wear.

POSE:

The soldier is seated naturally on the moving motorcycle.

His body is leaning slightly forward for balance.

He is holding and operating a large mounted heavy machine gun positioned across the front of the motorcycle.

One hand firmly controls the weapon while the other supports/operates it naturally.

The pose must remain anatomically believable.

WEAPON:

A large realistic belt-fed heavy machine gun is mounted/positioned in front of the rider.

Include:

- realistic metal receiver

- barrel

- ammunition belt

- ammunition box

- bipod/support structure

- mechanical details

- realistic muzzle flash

The machine gun is actively firing toward the right side of the frame.

A bright realistic muzzle flash is visible at the end of the barrel, with a subtle trail of smoke and atmospheric glow.

MOTORCYCLE:

A black/charcoal Kawasaki Ninja-style superbike is the main vehicle.

The motorcycle should have:

- aggressive aerodynamic fairings

- sharp front headlights

- transparent windshield

- realistic mirrors

- detailed suspension

- realistic wheels and tires

- metallic engine components

- visible mechanical parts

- realistic black paint reflections

- authentic sport-bike proportions

The motorcycle is moving extremely fast and appears to be partially lifting/bouncing over uneven battlefield terrain.

The front wheel is prominently visible in the foreground.

The rear wheel kicks up a large cloud of dust.

BACKGROUND:

A massive war-torn battlefield stretches behind the soldier.

Include:

- destroyed military vehicles

- burning structures

- large explosions

- thick smoke

- dust clouds

- flying rocks

- fragments and debris

- sparks

- damaged terrain

- scorched ground

Large explosions appear on both sides of the frame.

A fighter jet flies across the upper sky above the soldier, leaving long white contrails/smoke trails behind it.

The jet should be clearly recognizable as a modern military fighter aircraft.

SKY:

Dramatic cloudy sky with a mixture of blue-gray and dark storm clouds.

The sky should provide a cinematic contrast against the orange explosions below.

MOTION:

Strong sense of high-speed movement.

Use realistic:

- wheel motion

- dust trails

- flying debris

- motion blur in the ground

- atmospheric particles

- smoke movement

- subtle background motion blur

The soldier’s face and main motorcycle details must remain sharp and highly detailed while the surrounding environment conveys speed.

CAMERA:

Low front three-quarter cinematic camera angle.

The camera is positioned close to the motorcycle’s front-right/center area and slightly below the rider’s eye level.

Use a natural cinema-camera perspective, approximately 50–70mm equivalent, avoiding wide-angle facial distortion.

The motorcycle fills the lower half of the composition while the soldier occupies the central upper-middle area.

The fighter jet and smoke trail occupy the upper background.

LIGHTING:

Natural dramatic daylight filtered through clouds.

Strong warm orange illumination from explosions.

Cool blue-gray ambient light from the sky.

Realistic highlights on:

- soldier’s face

- tactical vest

- machine gun

- motorcycle windshield

- metallic motorcycle components

- ammunition belt

- dust particles

COLOR GRADING:

Cinematic military action-film color grade:

cool blue/gray environment with warm orange fire and explosion highlights.

REALISM:

Extremely photorealistic.

Real human anatomy.

Natural facial proportions.

Realistic hands and fingers.

Realistic weapon handling.

Realistic motorcycle physics.

Realistic dust, smoke and fire.

Realistic fabric texture.

Realistic metallic reflections.

Natural depth of field.

Professional action-photography quality.

High dynamic range.

No cartoon.

No illustration.

No plastic CGI appearance.

No distorted anatomy.

No duplicated limbs.

No malformed hands.

No floating objects.

COMPOSITION:

Vertical 9:16.

Dynamic action framing.

Soldier centered slightly above the motorcycle.

Motorcycle dominates the lower foreground.

Heavy machine gun creates a strong horizontal/diagonal action line.

Fighter jet and contrails create depth in the upper background.

Explosions frame the subject from both sides.

FINAL RESULT:

A spectacular ultra-photorealistic military action photograph of a special-forces soldier riding a black Ninja-style superbike through an active battlefield while firing a heavy machine gun, with explosions, smoke, flying debris, dust and a fighter jet overhead.

Feedback to Gemini Image Generation Team

Subject: Please improve face preservation when using reference images

Dear Gemini Team,

I really like Gemini’s image-generation capabilities. It does a great job with different scenes, backgrounds, lighting, camera angles, and cinematic compositions.

However, there is one issue I have been experiencing quite often when I use my own photograph as a reference.

Even when I clearly ask Gemini to preserve my identity and use my reference photo as the source for my face, the generated image sometimes changes my facial features significantly. In some results, my face becomes distorted or looks like a completely different person. The scene itself may look excellent, but the face no longer looks like me.

What I am looking for is actually very simple: if I provide my photograph as an identity reference, I want the same person to appear in the generated image.

For example, Gemini can change the following according to my prompt:

Background and location

Clothing

Pose and action

Camera angle

Lighting

Cinematic style

Overall composition

But the person’s actual identity should remain consistent with the reference photograph.

The important facial characteristics—such as the overall face shape, eyes, eyebrows, nose, lips, cheeks, jawline, chin, forehead, hairline, natural skin texture, and facial proportions—should be preserved as closely as possible.

I understand that generating a completely identical photograph is technically difficult, but the generated person should still clearly remain the same person from the reference image rather than becoming a new AI-generated face.

It would be really helpful if Gemini could give higher priority to identity preservation when a user explicitly provides a reference image and asks to preserve their face. Scene generation and creative changes should not unintentionally override the person’s identity.

I am sharing this as genuine user feedback because the image-generation quality is already very impressive. If the reference-face consistency could be improved, the results would be much more useful for creating realistic personal photographs.

Thank you to the Gemini team for continuing to improve the image-generation experience.

Best regards,

A Gemini user

Available next action: Create a downloadable DOCX file here in this chat containing the editable prose above

Subject: Re: Feedback about face preservation in image generation

Dear Gemini Team,

Thank you for getting back to me. I wanted to explain the issue a little more clearly, because this is the main reason I have become hesitant to use Gemini for my personal images.

Even after repeatedly telling Gemini to preserve my face from the reference photo, it sometimes changes my face so much that it becomes distorted and no longer looks like me. I have tried explaining the same issue several times and have specifically asked Gemini to correct the face when the generated result clearly does not resemble me.

But when I ask it to fix the distorted face, it sometimes responds that it cannot make the requested change because of its guidelines, instead of simply correcting the facial identity based on the reference photo.

That is what I find disappointing.

I am not asking Gemini to create a different person or to make me look like someone else. I am simply asking it to keep my own face from my own reference photograph while changing the scene, clothing, background, pose, or cinematic setting.

Because this keeps happening, I have actually decided that I will not generate photos of myself together with my wife again using Gemini for the time being. The reason is that instead of keeping me as the person in my reference photo, some generations remove or replace me with a completely different-looking person. At that point, even if the rest of the photograph looks beautiful, it no longer represents us or feels like our photograph.

I really like Gemini’s image-generation quality, and that is why this particular problem is frustrating. If the system could preserve the identity from the provided reference photo much more consistently—and allow obvious identity mistakes to be corrected—it would make a huge difference.

I hope the team can understand that this is not about asking for an unrealistic result. I simply want the same real person from the reference photo to remain the same person in the generated image.

Thank you for listening and for taking my feedback into consideration.

Best regards,

A Gemini user

Subject: Re: Feedback about face preservation in Gemini image generation

Dear Gemini Team,

Thank you for taking the time to reply to my feedback. I just want to explain my position clearly so there is no misunderstanding.

When I point this out and ask Gemini to correct the face and restore my actual appearance from the reference image, it sometimes responds that it cannot make the change because of its guidelines. This is the main reason I have lost confidence in using Gemini for my personal images.

I have already explained this issue many times, so I don’t want to keep repeating the same thing or keep generating more personal photographs just to demonstrate the problem again.

I have also decided that I will not generate another photograph of myself with my wife using Gemini. Please don’t ask me to try again, generate another image, or send another example. I am genuinely uncomfortable doing that because I am afraid that Gemini may once again remove me from the image and replace me with a different-looking person.

Please understand my hesitation.

As for what happens next, whether your team decides to improve Gemini’s image-generation system, update the special identity-preservation / body-preservation / professional identity-lock capabilities, introduce a better reference-image identity system, or leave the system as it currently is—that decision is entirely up to your team. I have given you my feedback, and what you do with it is no longer something I can control.

So please don’t ask me for more information, additional examples, more reference photographs, or another generation attempt. I have already provided enough explanation about the problem, and I would genuinely appreciate it if you could simply take this feedback into consideration.

I am not saying this out of anger. I am saying it because I have tried several times, and after repeatedly seeing the same identity problem, I no longer feel comfortable experimenting with my personal photographs on Gemini.

I sincerely hope the Gemini team improves reference-image identity preservation in the future. If that happens, it would be a meaningful improvement for users who simply want to place their own real identity into different scenes without having their face or body unnecessarily changed.

Thank you for understanding and for taking my feedback into consideration.

Best regards,

A Gemini user

> If anything I said in my previous messages sounded harsh, disrespectful, or caused any discomfort, I sincerely apologize. That was never my intention. I was only expressing my frustration after repeatedly experiencing the same problem. Please don’t take my words personally. I only hope that the team can understand the frustration and disappointment that users can feel when something as personal as their own identity is not preserved correctly.

I genuinely respect the people working behind Gemini and the effort that goes into improving the product. I simply request that you also try to understand the user’s side and the emotions behind this kind of feedback. Sometimes users may express their frustration strongly because they have already tried many times and feel disappointed—not because they want to disrespect the developers.

So if anything I said was inappropriate, please forgive me. I sincerely hope you will understand the user’s pain and consider the feedback in that spirit. Thank you for listening.