Illustration: editing a photo with an AI photo editor. This is an AI-generated illustration, not a screenshot of any real product.
If you have ever wondered
how to edit photos with Nano Banana, the AI image model inside Google's Gemini app, this guide is for you. Nano Banana is not a separate app you download — it is the image engine that powers photo editing inside Gemini — and in October 2026 it got its biggest upgrade yet with the launch of Nano Banana 2.1. This complete step-by-step guide walks you from zero to confident photo editor: what the tool is, where to find it, exactly how to make your first edit, the prompt formula professionals use, free versus paid limits, real pricing, and the mistakes almost every beginner makes. Everything here is based on Google's October 2026 release information and current guides, with sources linked at the end.
What Is Nano Banana 2.1? The October 2026 Upgrade Explained
The main point: Nano Banana 2.1, launched by Google on October 6, 2026, is the newest image generation and editing model inside Gemini — and it is the model you want for photo editing right now. Google announced it with the line: "Meet Nano Banana 2.1, our latest image generation and editing model. This upgraded version outperforms our previous models across the board, with notable leaps in visual design, mask-based editing, and subject consistency to help you create more natural-looking images."
Nano Banana is Google's name for the family of image models that live inside Gemini. You never switch to it manually — you ask Gemini for a picture or upload a photo to change, and Gemini hands the job to a Nano Banana model behind the scenes. The 2.1 release is an update to Nano Banana 2 (known in developer documentation as Gemini 3.1 Flash Image), and Google describes it as a high-efficiency image generation and conversational editing model. Google lists 2.1 as the replacement for Nano Banana 2 and recommends that everyone moves to it.
The original Nano Banana became a phenomenon in September 2025, when its ability to turn selfies into collectible figurines pushed the Gemini app to number one on both major app stores. Version 2 followed with Google Search grounding, so pictures of real places and products had a better chance of being accurate. Now version 2.1, released October 6, 2026, is Google's pitch to creators, small businesses and developers: better-looking images, sharper editing, and — the headline for developers — roughly half the price per image of its predecessor.
Key verified facts about Nano Banana 2.1:
- Launch: General availability on October 6, 2026; API model ID gemini-nano-banana-2.1.
- Output sizes: 1K, 2K and 4K resolution (the old 512px tier is gone).
- Reference images: up to 14 per request — tracking up to 4 characters and 10 objects.
- Panoramic formats: new 1:4, 4:1, 1:8 and 8:1 aspect ratios at 2K and 4K, fixing the tiling artifacts that extreme ratios used to show.
- Watermarks: every output carries Google's SynthID invisible watermark, and Content Credentials (C2PA) support is included.
- Developer price: about $0.0336 per 1K image on the Gemini API — roughly half of Nano Banana 2's price.
In Google's own tests, Nano Banana 2.1 scored 1,050 ELO points on text-to-image preference, ahead of Nano Banana 2 at 990 and Nano Banana Pro at 935 — and its infographic factuality score of 0.521 beat the predecessor's 0.179. Treat first-party benchmarks with healthy scepticism, but the direction is clear: Google is positioning this as its best value image model.
What Is New in 2.1 for Photo Editing: The Five Upgrades That Matter
The main point: the 2.1 upgrade is built around editing — mask-based selective edits, stronger subject consistency across multiple turns, cleaner text rendering, and wider formats. Here is what each upgrade means in plain language for someone editing photos.
1. Mask-based editing. Instead of regenerating the whole picture, you can change only the part of the image you select. Want a different background behind a portrait but the exact same face? Describe the region and the change, and the rest of the photo stays untouched. Google highlights this as one of the three headline upgrades of 2.1.
2. Subject consistency. People and objects keep their identity across edits and across a series of related images. This is the feature that makes multi-step editing practical: fix the background in step one, adjust the lighting in step two, and the person in the photo still looks like the same person. The model can track up to four characters and ten objects across as many as 14 reference images in a single request.
3. Better visual design and text rendering. Google's developer notes call out cleaner text rendering for infographics and marketing assets, closer adherence to long prompts, and more polished, finished-looking compositions. If you edit posters, labels, thumbnails or social graphics with text in them, this matters — garbled text was one of the classic AI image failures.
4. Panoramic and extreme aspect ratios. New 1:4, 4:1, 1:8 and 8:1 ratios at 2K and 4K fix the tiling artifacts that extreme panoramas used to show. Banner images, website headers and ultra-wide wallpapers are now realistic use cases.
5. Search grounding, including Image Search. The model can ground its work in Google Search and Google Image Search, so generations involving real places and products start from better information. For editing, this helps when you ask for something specific — a real landmark in the background, a real product on a table.
There is also a technical upgrade worth knowing: thinking levels (minimal, medium and high) let developers trade speed for quality on difficult prompts, and every output still carries the SynthID watermark so AI-made images stay verifiable.
Where You Can Use Nano Banana 2.1 Right Now
The main point: for most people the answer is the free Gemini app — no separate download, no subscription required to start editing. Google is rolling Nano Banana 2.1 out across its ecosystem:
- Gemini app (web, Android and iPhone) — sign in with a Google account, describe the image you want or upload one to edit. This is the route this guide focuses on.
- AI Mode in Google Search — image generation and editing from inside Search.
- Google AI Studio — the developer playground for testing prompts before writing code.
- Google Flow — Google's AI filmmaking tool; it also makes still images with the Nano Banana family at no charge.
- Google Stitch, Google Ads and the Gemini Enterprise Agent Platform — design, advertising and enterprise workflows.
- Gemini API — for developers, under the model ID gemini-nano-banana-2.1.
Google has not published a full country-by-country list, and the exact model behind each Gemini app mode can change as the rollout progresses — so use the live model selector and current help pages if something looks different on your account. If you already know how to generate AI images for free, editing is the natural next step; our step-by-step guide to creating AI images for free in 2026 covers the generation side in depth.
Before You Start: What You Need
The main point: you need a Google account, you must be 18 or older to edit photos, and the free plan is genuinely enough to learn on. Here is the honest setup picture.
A Google account. Image editing in the Gemini app requires signing in. There is nothing separate to install on phones — it works in the Gemini app for Android and iPhone, and in any desktop browser.
Age 18 or over for editing. Google allows making new images from age 13, but editing photos — uploading your own picture and changing it — is restricted to users aged 18 and over. School accounts may face different limits, and users under 18 on school accounts cannot export an image to Google Docs. If the editing option seems missing, the first things to check are that you are signed in and that your account age qualifies.
The free plan works. Image generation and editing with Nano Banana are available without a paid Google AI plan. Independent guides tested multiple edits on free accounts in late September 2026 with no refusals. Two honest catches: Gemini meters free usage by compute rather than by image count, so there is no published fixed number of free edits — when you hit the daily limit you wait for the next day — and free downloads come at 1K resolution, with a small visible watermark in the corner on some free downloads. For learning and casual use, that is plenty.
Privacy check before you upload. Think before you upload a photo — especially a photo of someone else. Never upload someone else's picture into any AI tool without their consent. If you want to remove your chats and uploads later, you can delete Gemini chats and turn off activity saving in the app settings. This is a good habit for any AI tool, not just this one.
Step-by-Step: Edit Your First Photo with Nano Banana
The main point: the whole workflow is upload, describe the change in plain words, check the result, and iterate in the same chat. No Photoshop skills required.
Step 1 — Open Gemini and sign in. Go to the Gemini app on the web or open it on your phone, and sign in with your Google account. Make sure you are in a chat mode that supports image work — recent guides note that switching from the default lightweight mode to the standard Flash mode gives better editing results.
Step 2 — Upload your photo. Click the plus (+) button in the prompt box, choose Upload files, and pick the photo you want to edit. On the web you can also drag and drop. Wait for the upload to finish before typing your prompt — the model needs to actually see the image.
Step 3 — Describe the change in plain words. This is the core skill of this entire guide. Write one clear sentence about what to change, and — this is the part beginners skip — say what must stay the same. Example: "Change the background to a sunset beach. Keep the person, the pose and the lighting on the face exactly the same."
Step 4 — Review the result carefully. Look at the whole image, not just the part you asked to change. Check faces, hands, text in the background, and edges where the edit meets the original. AI edits are impressive but not perfect — a quick full-image scan catches the odd glitch before you build on it.
Step 5 — Iterate in the same chat. Do not start a new chat for the next tweak. Reply in the same conversation: "Now make the sky a deeper orange, keep everything else the same." Multi-turn consistency is one of Nano Banana 2.1's headline upgrades — the subject stays stable across rounds of edits, which is exactly what makes step-by-step refinement work.
Step 6 — Download. When you are happy, download the result. On the free plan expect 1K resolution. Save the original upload too, so you can always start over from the unedited photo if a later round goes wrong.
That six-step loop — upload, describe, review, iterate, download — is genuinely the entire workflow. Everything else in this guide is about making step 3 (the prompt) and step 5 (the iteration) produce professional results.
The Golden Rule of Edit Prompts: Change One Thing, Protect Everything Else
The main point: every good edit prompt has two halves — the change you want, and the explicit instruction to keep everything else identical. The second half is what separates clean edits from messy ones.
Beginners write prompts like "make the background nicer" and get a whole new image. The fix is a simple formula:
"Change [exactly what] to [exactly how]. Keep [everything that must not change] identical."
Compare these two prompts for the same photo:
- Weak: "Make this photo look better." The model has to guess what "better" means — new lighting, new background, maybe a new face.
- Strong: "Brighten the lighting on the subject's face and remove the shadow across the left cheek. Keep the background, the clothing and the pose exactly the same." The model knows precisely what to touch and what to protect.
Three more rules that make prompts work:
Be specific about the change. "A warm sunset beach with soft waves" beats "a nice beach". "Remove the red car in the background" beats "clean up the background". The model fills in creative gaps, but specific instructions fill them the way you want.
Name the keepers. Faces, hands, logos, text, pets — the things you care about most are the things most worth naming as protected. "Keep the dog's face and markings exactly the same" is a sentence that saves edits.
One bounded change per prompt. Ask for one thing at a time, check it, then ask for the next. This is not just caution — it matches how the model works best, and it means if step three goes wrong you only redo step three, not the whole edit.
12 Practical Photo Edits You Can Do Today, with Example Prompts
The main point: almost every common photo fix — backgrounds, lighting, unwanted objects, style changes — is one well-written prompt away. Copy these patterns and adapt them to your own photos.
1. Swap the background. The single most popular AI edit. Upload a portrait and try: "Change the background to a blurred city street at night with warm lights. Keep the person, their face, clothing and pose exactly the same." Portraits, product shots and profile pictures all benefit.
2. Fix bad lighting. Harsh shadows and dark indoor shots are easy wins: "Brighten the subject's face evenly and remove the harsh shadow on the left side. Keep the background, colours and composition unchanged."
3. Remove unwanted objects and people. Photobombers, bins, cables, cars: "Remove the person in the red jacket in the background and fill the area naturally to match the surroundings. Keep everything else identical."
4. Change the time of day or weather. "Change this daytime scene to golden-hour sunset with warm light and long shadows. Keep the buildings, people and composition exactly the same." Great for real-estate and travel photos.
5. Restyle the whole photo. "Convert this photo into a watercolour painting style, keeping the same composition and subjects." Oil painting, anime, pencil sketch, cinematic film still — the style layer sits on top of your composition.
6. Fix or replace text in the image. Thanks to 2.1's improved text rendering: "Replace the text on the shop sign with 'BAKERY' in bold white letters. Keep the sign's position, size and perspective the same." Check the spelling in the result — small text can still render imperfectly.
7. Combine two photos. Upload both images: "Place the dog from the first image sitting on the sofa in the second image, matching the room's lighting. Keep the room exactly the same." This is where the multi-image support shines.
8. Upgrade a product photo. Small sellers love this one: "Put this product on a clean white studio background with soft shadow beneath it, professional e-commerce style. Keep the product itself exactly the same." Consistent product shots without a studio.
9. Resize the composition for social media. "Extend this image to a 16:9 widescreen format, filling the new areas naturally to match the scene. Keep the existing content unchanged." Panoramas and platform-specific crops become painless.
10. Colourise a black-and-white photo. "Colourise this black-and-white family photo with natural, realistic colours — natural skin tones, blue sky, green grass. Keep all faces and details exactly the same." A lovely use case for old family pictures.
11. Virtual try-on and outfit changes. "Change the jacket to a black leather jacket, keeping the fit and folds natural. Keep the person's face, pose and the background identical." Supported at the model level in 2.1.
12. Polish a poster or thumbnail. "Make this YouTube thumbnail punchier: richer colours, stronger contrast, sharper subject. Keep the text exactly as written and the layout the same." Creators can iterate thumbnails in minutes instead of hours.
Notice the pattern in every example: specific change + named keepers + "identical/unchanged" anchor. Once that pattern is muscle memory, you can invent your own edits confidently.
Reference Images and Subject Consistency: Your Secret Weapon
The main point: uploading reference images — up to 14 in one request — is how you keep a person, pet or product looking like itself across edits and across a whole series of images.
Here is the practical difference reference images make. Edit a photo of your child, then ask for a second edit in the same chat without references: the result will be close, but small details drift. Now upload two or three clear photos of the same child as references along with your edit: the model anchors on them, and the face stays consistent. Google says the model can track up to four characters and ten objects across those 14 reference images.
Real workflows this unlocks:
- Consistent characters for a comic strip, storybook or video thumbnails — same face, different scenes.
- Product consistency — the same bottle, shoe or gadget placed in ten different ad backgrounds without reshooting.
- Style anchoring — upload an image whose look you like and ask new edits to match its mood and colour grading.
Practical tips: use clear, well-lit reference photos; front-facing shots work better than angles for faces; name each reference in your prompt ("the man in reference image 1"); and do not upload references you do not need — every reference adds compute, and on the free plan that compute is metered.
Resolution and Aspect Ratios: Getting the Size Right
The main point: free users get 1K downloads; paid and developer routes unlock 2K and 4K, plus ultra-wide panoramic ratios that older models mangled.
Nano Banana 2.1 generates at 1K, 2K and 4K. The old 512px tier is gone. In the Gemini app on the free plan, downloads come at 1K — fine for social media, blog illustrations and on-screen use. If you need print quality or large displays, the 2K and 4K tiers (available through paid plans and the API) are the route, with 4K roughly matching TV-level sharpness.
Aspect ratios include the standards — 1:1, 3:2, 4:3, 16:9, 9:16, 21:9 — plus the new panoramic set: 1:4, 4:1, 1:8 and 8:1 at 2K and 4K. The panoramic ratios matter because earlier models showed tiling artifacts on extreme widths; 2.1 fixed that, so website hero banners and ultra-wide wallpapers are now practical. Ask for the ratio in your prompt ("make this 16:9") or pick it in the tool's options where available.
A practical rule: decide the final size before you start editing. Upscaling a finished 1K edit later is never as clean as generating at the size you need. For anything you might print, crop heavily, or display large, plan for 2K or 4K from the first prompt.
Free vs Paid: Quotas, Watermarks and What It Really Costs
The main point: the free plan is real and usable — daily quota, 1K downloads — and the paid tiers are cheap by AI standards. Most beginners never need to pay.
Free plan. Image generation and editing work without any subscription. The daily image quota exists but Google does not publish the number; when you reach it, you wait for the next day. Usage is metered by compute, not by a fixed image count, so a heavy multi-reference edit costs more of your quota than a simple one. Downloads are 1K, and some free downloads show a small visible watermark in the corner. Every output also carries the invisible SynthID watermark regardless of plan.
Google AI Plus. For users in Pakistan, Plus costs about Rs 1,400 a month and gives roughly twice the usage plus the "Pro redo" option — regenerating a finished image with the more capable Pro model. Google AI Pro is about Rs 5,600 a month and Ultra starts near Rs 21,999, but for image editing alone, Plus is plenty.
Student offer. Students can get Google AI Plus free for one year, until December 31, 2026, through Google's Gemini student offer — worth checking if you have a student email.
The second free route: Google Flow. Flow makes images with the Nano Banana family at no charge, and gives 50 free credits a day for video. If your Gemini app quota runs out, Flow is a legitimate free alternative for still images.
Developer pricing (the headline cut). On the Gemini API, image output now runs at $30 per million tokens, down from $60 — roughly 50% cheaper per image than Nano Banana 2. That prices a standard 1K image at about $0.0336, 2K at about $0.0504, and 4K higher still. Batch processing for non-interactive workloads cuts those output prices by roughly another 50% — about 1.68 cents per 1K image, or roughly $17 for a thousand images. One honest footnote from the pricing coverage: input token pricing rose to $1.50 per million and text/thinking output to $7.50 per million, so reference-heavy workflows with lots of reasoning save less dramatically than the per-image cut suggests. For pure high-volume generation, though, the math is unambiguous.
Bottom line for beginners: start free, learn the prompt patterns in this guide, and only consider Plus if you hit the daily quota regularly. The free tier is not a demo — it is a working tool.
For Developers: AI Studio and the API in Five Minutes
The main point: developers get the same model through Google AI Studio's playground and the Gemini API under the model ID gemini-nano-banana-2.1 — with resolution, thinking level and grounding controls the app does not expose.
The recommended path from Google's own ecosystem: head to Google AI Studio, select Nano Banana 2.1 from the model picker, and test prompts in the playground before writing a line of code. When you integrate via the Gemini API, specify resolution with capital letters — 1K, 2K, 4K; lowercase gets rejected — and set your preferred thinking level (minimal, medium or high) to trade latency for quality on hard prompts.
API capabilities worth knowing: text, image, video and PDF inputs; up to 14 images per prompt; grounding with Google Web and Image Search; batch inference for the lowest rates; and supported output formats including PNG, JPEG, WebP, HEIC and HEIF. Limits include 7MB per file for inline uploads and 30MB per file from Cloud Storage. A few parameters are notably unsupported — seed, topK, logprobs, temperature and topP — and setting them returns an API error, so do not copy sampling settings from text-model code.
For product teams, the 2.1 story is cost and consistency: half-price 1K images, batch discounts, mask-style selective editing for revision workflows, and subject consistency for campaign series. That combination is aimed squarely at ad variants, product shots and social content at scale.
Nano Banana vs the Alternatives: An Honest Comparison
The main point: Nano Banana 2.1 wins on price, conversational editing and Google-ecosystem convenience; specialist tools still win on pixel-level control.
Vs Photoshop Generative Fill. Photoshop gives you brush-precise masks and layers — real professional control. Nano Banana gives you plain-language edits with no learning curve and no subscription. If you already pay for Adobe and need precision, Photoshop stays. If you want "remove that car" in ten seconds for free, Nano Banana wins.
Vs dedicated free AI image editors. Our free AI image generators guide covers tools like FLUX-based editors and others. Many are excellent at generation from text, but Nano Banana's strength is editing your own uploaded photos conversationally with strong subject consistency — a narrower, deeper specialty.
Vs Canva's AI tools. Canva Craft, Canva's own image model launched this same month, is brilliant for design-led generation inside the Canva editor — see our Canva Craft launch coverage for the full comparison. For editing real photographs, though, the Gemini route is the more direct tool.
Vs video generators. Different job entirely — if your end goal is moving pictures, our guide to free AI video generators covers the credit-based tools. A common creator workflow: edit the perfect still in Nano Banana, then animate it in a video tool.
The honest summary: no single tool wins everything. Nano Banana 2.1 is the best free starting point for photo editing in plain English, and that is exactly the gap this guide fills.
10 Common Mistakes Beginners Make (and How to Fix Them)
The main point: nearly every bad AI edit comes from a vague prompt, a missing "keep" instruction, or checking only the edited region. All three are fixable in seconds.
1. The vague prompt. "Make it nicer" produces random changes. Fix: name the exact change and the exact keepers, using the golden-rule formula.
2. Forgetting the "keep" half. You asked for a new background and got a new face too. Fix: always add "keep the face, clothing and pose exactly the same."
3. Stacking five changes in one prompt. Background, lighting, outfit, style and text in a single request — then you cannot tell which part failed. Fix: one bounded change per prompt, checking each result.
4. Starting a new chat for every tweak. You lose the multi-turn consistency that keeps your subject stable. Fix: iterate in the same conversation.
5. Not checking the whole image. The background looks great; the hands are wrong. Fix: scan the full result at full size before continuing.
6. Editing a low-quality upload and expecting miracles. A blurry 300px photo will not become a sharp 4K portrait. Fix: start from the highest-resolution original you have.
7. Ignoring the age and consent rules. Uploading someone else's photo without permission, or a minor trying to use editing features. Fix: 18+ for editing, consent for other people's photos — no exceptions.
8. Trusting small rendered text blindly. The new text rendering is better, but tiny text can still garble. Fix: zoom in and read every word of any text the model generated.
9. Passing AI edits off as real photos. The SynthID watermark exists precisely to prevent this. Fix: label AI-edited images honestly, especially for news, listings or documents.
10. Giving up after one bad result. The first generation is a draft, not a verdict. Fix: adjust the prompt with more specific keepers and try again — iteration is the workflow, not a sign of failure.
Ethics, Safety and the SynthID Watermark: Using AI Editing Honestly
The main point: every Nano Banana output carries Google's SynthID invisible watermark and C2PA Content Credentials — AI-made images are verifiable by design, so use them honestly.
AI photo editing is powerful, and with power comes a short list of non-negotiable rules:
Never pass an AI-edited image off as an untouched photo. Not in a news context, not in a product listing, not in a document. The SynthID watermark is invisible to the eye but detectable with Google's free SynthID detector — misrepresentation will be caught, and in many places it is against platform rules or the law.
Get consent before editing photos of other people. This is especially important for photos of women and children shared in family groups — fake or manipulated images of real people spread fast on messaging apps, and the harm is real. Keep AI editing to your own photos, stock-style creations, posters and product shots unless you have clear permission.
Respect the age rules. Editing is 18+ on Google's platform. This is not a suggestion — the feature is gated, and workarounds put the account at risk.
Label AI content where it matters. For blog illustrations, thumbnails and marketing, a simple "AI-edited" or "AI-generated illustration" note — like the captions on this article's own images — keeps you honest with your audience and on the right side of platform disclosure rules.
Used honestly, these tools are a creative superpower. Used dishonestly, they are a fast track to losing trust — and accounts.
Frequently Asked Questions
Is Nano Banana free? Yes — image generation and editing in the Gemini app work on the free plan, with a daily quota Google does not publish. When the quota runs out, you wait for the next day or upgrade. Google Flow is a second free route for still images.
Do I need to download an app? No. Nano Banana is not a separate app — it is the image model inside Gemini. Use the Gemini app on the web, Android or iPhone; there is nothing extra to install.
How do I edit a photo in Gemini, exactly? Click the plus button in the prompt box, choose Upload files, pick your photo, then describe the change in plain words and say what must stay the same. Make further changes by replying in the same chat.
Can I edit photos of other people? Technically the tool allows it, but you should not do it without their clear consent — and never create misleading images of real people. Google also restricts editing features to users aged 18 and over.
What resolution do free downloads come in? 1K on the free plan, with a small visible watermark on some free downloads. Paid routes unlock 2K and 4K. Every output carries the invisible SynthID watermark regardless of plan.
What is the difference between Nano Banana 2 and 2.1? 2.1 is the October 6, 2026 update: better visual design, mask-based selective editing, stronger subject consistency, cleaner text rendering, new panoramic aspect ratios, and roughly half the API price per image. Google lists 2.1 as the replacement and recommends moving to it.
Can Nano Banana remove watermarks or logos from photos? Removing a watermark to steal someone's work is not a legitimate use — do not do it. Editing your own branded assets (fixing your own logo's text, for example) is fine.
Does it work for product photos for my online store? Very well — clean studio backgrounds, consistent product appearance across a whole catalog via reference images, and 2K/4K output for detail. Keep the product itself unaltered so customers receive what they saw.
How many reference images can I use? Up to 14 per request, tracking up to 4 characters and 10 objects. On the free plan, remember that references add compute against your daily quota.
Will people know my image is AI-edited? Assume yes. Beyond the invisible SynthID watermark and C2PA credentials, honest labeling is simply the right practice — and required by several major platforms.
Conclusion: Your First Edit Is Five Minutes Away
The main point: you now know everything a beginner needs — the tool, the setup, the six-step workflow, the prompt formula, the free limits and the honest boundaries. The only step left is doing it.
Photo editing with Nano Banana in October 2026 is at a sweet spot: the 2.1 model is genuinely good at selective edits and keeping subjects consistent, the free plan is real, and the skill itself is one simple pattern — upload, describe the change, name what to keep, iterate in the same chat. Start with something low-stakes: swap a background, fix the lighting on a favourite portrait, remove the photobomber from a holiday snap. Check each result at full size, keep your originals, and build the habit of specific prompts with explicit keepers.
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| Describe exactly what you want to change — and what must stay the same — to get clean AI edits. |
The creators getting the most from AI image tools right now are not the ones with the fanciest software — they are the ones who learned to describe exactly what they want. You have the patterns; go make your first edit.
Sources
Related reading on AI Tech Hub: How to Create AI Images for Free in 2026: A Step-by-Step Beginner's Guide, Canva Craft Launches (October 2026), and Top Free AI Video Generators with a Credit System in 2026.
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| AI-generated before-and-after illustration of a mountain landscape edited with Nano Banana. |
All images in this article are AI-generated illustrations, not screenshots of any real product or photographs of real people or places. Facts and prices were verified from the sources above in October 2026; Google's plans, quotas and pricing can change — check the live Gemini app and Google's documentation for the current details.
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