What is Nano Banana, and can Gemini make AI photos of yourself?
Nano Banana is the community nickname for Google Gemini's image generation model, the part of Gemini that turns a text prompt into a picture. You type a description, and in a few seconds Gemini renders a photorealistic image from scratch. It is good at this, with clean lighting, believable scenes, and fast turnaround.
The catch is what the prompt describes. Gemini renders whoever your words describe, so "a woman in a red coat on a Paris street" gives you a convincing stranger, not you. To make Gemini produce your face, you have to feed it your photo and ask it to work from that, which is where the consistency problem starts.
What Gemini (Nano Banana) does really well
Speed and creativity are the strengths. A single image lands in roughly 5 to 15 seconds, and you can iterate on wording endlessly: change the background, the outfit, the mood, or the camera angle just by editing the prompt. For brainstorming a look or mocking up a scene, that loop is hard to beat.
Prompt control is the other win. Gemini follows detailed instructions well, so you can steer style, color, and composition with plain language. If your goal is a creative image or a quick concept, not a locked likeness of one real person, Gemini is a strong, low-friction pick.
Where Gemini struggles: keeping your exact face across a set
Identity consistency is the weak spot. Gemini was built to generate great images, not to memorize one specific face and reproduce it precisely across many outputs. Ask it for 10 photos of you, and you often get 10 people who each look 85 to 90 percent like you: a slightly different nose here, a rounder jaw there, eyes that shift between shots.
That drift is fine for one hero image you cherry-pick. It falls apart when you need a coherent set, like a LinkedIn grid, a dating profile, or a travel album, where every photo has to read as the same person. Small facial shifts that pass alone become obvious side by side.
It also matters that these are new renders, not edits of your original photo. A tool that regenerates your face each time has more room to drift than one that has learned your face as a fixed reference first.
How a selfie-trained generator locks your identity instead
A selfie-trained generator flips the order. Before making any photo, it trains a small personal model on your face from your selfie, which takes about 15 to 30 minutes. That training becomes a fixed reference, so every later photo is anchored to the same learned likeness instead of re-guessing your face from a prompt.
On MakeAiPhotos you upload one clear selfie, the model trains, then it generates brand-new photos of you across outfits, backgrounds, and lighting that were never photographed. It is not editing or overlaying your selfie; it creates new images of the same real you, which is why a batch of 20 stays consistent. See what one upload produces on the realistic AI photo generator page and in AI photos of yourself.
Which should you use, Gemini or a selfie-trained generator?
Pick by the job. For a one-off creative image, a scene mockup, or fast prompt experiments where a real person's exact face is not the point, Gemini (Nano Banana) is quick, cheap to try, and creative. It is a good sketchpad.
For a consistent set of realistic photos that all have to look like you, a selfie-trained generator wins, because identity lock is the whole design. Many people use both: Gemini to explore a look, then MakeAiPhotos to produce the final photos of themselves. For style inspiration first, browse AI photos of me and more AI photo ideas, and if realism is the concern, read how to make AI photos look realistic.
Frequently Asked Questions
- Can you make AI photos of yourself with Gemini?
- Yes, but with limits. You can give Gemini your photo and prompt it to render you in new scenes, and single results can look convincing. Across a set of 10 or more, the face tends to drift into slightly different versions of you, because Gemini is built to generate images, not to lock one exact identity. For a consistent batch, a selfie-trained generator like MakeAiPhotos holds your likeness better.
- What is Nano Banana?
- Nano Banana is the nickname for Google Gemini's image generation model. It turns a text prompt into a photorealistic image in about 5 to 15 seconds and is strong at creative, prompt-driven images and edits. It is not designed to memorize and reproduce one specific person's face across many outputs.
- Why does Gemini change my face across different photos?
- Because each photo is a fresh render from your prompt rather than a fixed reference. Gemini re-generates a face that roughly matches, so across a set you get small shifts in nose, jaw, and eyes. A selfie-trained generator trains on your face first, then anchors every photo to that learned likeness, which keeps a 20-photo set consistent.
- Does MakeAiPhotos edit my selfie or make new photos?
- It makes brand-new photos. MakeAiPhotos trains a personal model on your uploaded selfie, then generates fresh images of you in outfits, backgrounds, and lighting that were never photographed. It never edits, filters, or overlays your original selfie; each result is a new photo of the same real you.
- How many selfies do I need for consistent AI photos of myself?
- One clear, front-facing, unfiltered selfie shot in soft daylight is enough on MakeAiPhotos. That single photo trains the model in about 15 to 30 minutes, and then one upload produces a full pack of consistent photos across styles.
- Is MakeAiPhotos free?
- No, it is paid. MakeAiPhotos uses one-time credit packs with no subscription, so you pay once and keep the photos, and it is backed by a 14-day money-back guarantee. Training a personal model on your face uses real compute, which is why realistic, identity-locked photos of you are a paid service.