Four Output Sizes
Work at 0.5K, 1K, 2K, or 4K from the same written brief.
Nano Banana 2 AI Image Generator
Google's Nano Banana 2 pairs flagship-level image quality with Flash-class speed, across four output sizes from rapid 0.5K prototypes to finished 4K.
- Nano Banana 2
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See Twenty Directions Before You Commit to One
Nano Banana 2 is Google's speed tier for image generation, built so that exploring an idea costs time measured in seconds rather than minutes.
The interesting part is what it does not give up to get there. Subject consistency, coherent multi-element scenes, dynamic editing, and 4K output all survive the jump to Flash speed, which is unusual — fast models normally trade away exactly the things that make output usable. What changes is how quickly you can put a dozen versions side by side.
Use Nano Banana 2 when the answer is not obvious yet. Run visual searches, build moodboards, test compositions, generate social sets, and produce the volume of variations a real creative decision needs before anything gets locked.
What Is Nano Banana 2?
Nano Banana 2 is an AI image generation model developed by Google DeepMind, built on Gemini 3.1 Flash Image and released in February 2026. It generates and edits images from written instruction, following detail about subjects, arrangement, lighting, and the role of any reference you attach.
The model is built around three major strengths:
- Flagship-level output characteristics delivered at Flash-class generation speed
- Subject and object consistency held across multi-element scenes
- A resolution range wide enough to cover prototyping and finished work in one model
Nano Banana 2 generates natively from 512 pixels up to 4K, with 2K as its default output. Every image carries SynthID and content credentials, and the model supports flexible aspect ratios along with dynamic editing of pictures you supply.
Virse also lists Nano Banana Lite, a fixed-size entry from the same family. It removes the size decision entirely, which suits batch work where every image is going to the same place.
Nano Banana 2 Specs at a Glance
512px Prototyping Tier
The smallest size exists for speed, so testing twenty compositions stays a routine decision.
2K by Default
The middle of the range is tuned as the everyday setting rather than a compromise.
Flash-Class Speed
Part of the Gemini Flash line, tuned so a render finishes before your attention moves on.
Multi-Subject Consistency
Hold several characters and objects coherent within a single scene.
SynthID and Content Credentials
Provenance signals embedded automatically, invisible on the picture itself.
Key Features of the Nano Banana 2 AI Image Generator
A Real Prototyping Tier
Most models give you one size or a narrow range. The 512-pixel tier exists specifically so that generating twenty variations is something you do without deliberating, and composition, palette, and framing all read perfectly well at that size.
Speed Without a Quality Cliff
The Flash line targets turnaround rather than maximum fidelity, but Nano Banana 2 keeps the characteristics that normally disappear first — coherent scenes, consistent subjects, legible structure — so fast output stays usable rather than merely quick.
One Model From Sketch to Final
Because a single model covers 512 pixels through 4K, the prompt that worked during exploration produces the finished image without being re-tuned for a different engine.
Dynamic Editing
Supply an existing picture and describe the change. The model works inside the image you gave it rather than generating a replacement.
Flexible Aspect Ratios
Square, portrait, landscape, and wide crops come from the same brief, which matters when one concept has to ship in six formats.
Provenance Built In
SynthID is embedded in the pixel data and survives cropping, resizing, and compression, with content credentials attached to the file. Neither marks the visible image.
Build with Nano Banana 2 in Virse
Fast generation only helps if you can see the results together. Twenty images scattered across twenty downloads is not a comparison, it is a filing problem. Virse lays every attempt onto one canvas as it arrives. A batch of variations stays a batch, so choosing between them happens by looking rather than by opening files one at a time.
Run a Batch, Then Judge It
Generate a spread of directions at the prototyping size and lay them side by side before deciding which deserves a full render.
Keep the Rejected Ones Visible
Directions you passed over stay on the canvas as reference, which is where most second-round ideas actually come from.
Access 30+ Creative Models
Move between Nano Banana 2 and 30+ other image and video models without leaving the canvas or rewriting the brief.
Escalate Within the Same Family
When a concept needs stronger typography or tighter identity control, hand the working prompt to Nano Banana Pro on the same canvas.
What Can You Create with Nano Banana 2?
Concept Exploration
Search a visual direction wide before any budget is committed to it.
Moodboards
Assemble a coherent board from images generated to brief rather than scavenged from search.
Social Content Sets
Produce a week of posts in one sitting, in the aspect ratio each platform wants.
Blog and Editorial Imagery
Article headers and inline graphics at 2K without a separate upscaling step.
Product Variations
Show the same item across several colourways, settings, or arrangements.
Photo Edits at Scale
Change backgrounds, seasons, or lighting across an existing set of pictures.
How to Use Nano Banana 2 in Virse
Start at the Smallest Size
Drop to 0.5K for as long as the content is still an open question.
Describe the Image
Name the subject, the setting, the light, and the framing in plain sentences.
Generate a Spread
Run several variations at once and compare them on the canvas rather than one by one.
Re-Run the Winner Larger
Take the prompt that worked and generate it again at 2K or 4K, unchanged.
How to Write a Nano Banana 2 Prompt
A useful Nano Banana 2 prompt usually includes four elements:
- Subject
- Setting
- Light
- Framing
与其这样写
Cozy interior, warm atmosphere, beautiful lighting, high detail.
不如这样写
A narrow kitchen with pale wood cabinets and a single window above the sink. Late afternoon light entering at a low angle, throwing a long rectangle across the floorboards. A ceramic bowl of lemons on the counter. Shot from the doorway at eye level.
Nano Banana 2 Prompt Examples
Product Variation Set
A pair of white leather trainers on a polished concrete floor, photographed from a low three-quarter angle. Overhead daylight from a skylight, soft shadows directly beneath the shoes, a faint reflection in the floor. Neutral grey and white palette, nothing else in frame. Generate the same shot in four colourways: white, sand, forest green, and black.
Flat Illustration
A flat vector illustration of a person working at a desk beside a large window, viewed from the side. Four colours only: deep navy, warm cream, muted orange, one soft grey. No gradients, no outlines. Simple geometric shapes, generous negative space above the figure, plants on the windowsill as basic silhouettes.
Seasonal Edit
Using the supplied photograph of the room, change the view through the window to winter — bare trees, overcast light, no snow on the ground. Keep the furniture, wall colour, and camera position exactly as they are. Cool the interior light slightly so it reads against the new outdoor light. Leave the foreground untouched.
Nano Banana 2 vs. Nano Banana Pro
| 对比维度 | Nano Banana Lite | Nano Banana 2 | Nano Banana Pro |
|---|---|---|---|
| Built for | Batch work, no decisions | Speed and volume | Final assets and print |
| Output sizes | One fixed size | 0.5K, 1K, 2K, 4K | 1K, 2K, 4K |
| Prototyping tier | Not applicable | Yes, 512 pixels | No |
| Text rendering | Short strings | Workable for short strings | Long passages and multilingual layouts |
| Identity control | Single subjects | Consistent within a scene | Stronger across a full series |
| Where it fits | High-frequency output | Exploration, moodboards, social volume | Campaign key visuals, packaging, print |
Tips for Better Nano Banana 2 Results
Explore Small, Finish Large
The prompt does not change between 0.5K and 4K. Settle the idea at the size that costs you nothing to repeat.
Change One Variable per Run
When generating a set, vary colour or angle or setting — not all three. Sets built by rewriting everything end up looking unrelated.
Skip the Quality Adjectives
"8k", "ultra detailed", and "masterpiece" do not raise the output size. The size selector does, and the words just crowd the brief.
Move Up a Model for Type
If you find yourself re-running to fix a headline, you have reached this model's limit rather than a prompting problem. Nano Banana Pro is the next step.
Nano Banana 2 FAQ
What is Nano Banana 2?
Nano Banana 2 is Google DeepMind's Flash-speed image model, built on Gemini 3.1 Flash Image and released in February 2026. It generates and edits images at sizes from 512 pixels up to 4K.
Can Nano Banana 2 generate 4K images?
Yes. 4K is the top of its four output sizes, with 2K as the default and a 512-pixel tier available for rapid prototyping.
Is Nano Banana 2 free, and what does it cost?
Nano Banana 2 is available on Virse's paid plans. Generation draws on a monthly credit allowance rather than a charge per image, and the higher plans make it unmetered within fair use. Current plan rates are listed on the Virse pricing page.
How is Nano Banana 2 different from Nano Banana Pro?
Nano Banana 2 is the speed tier, and it offers a 512-pixel prototyping size that Pro does not. Pro is the stronger choice once an image needs long text passages or identity held across a whole campaign.
Can Nano Banana 2 edit an existing image?
Yes. Upload the picture, describe the change in plain language, and the model works within it rather than generating a replacement.
Does Nano Banana 2 add a visible watermark?
No. It embeds SynthID in the pixel data and content credentials in the file, both of which identify the image as AI-generated without marking the picture.
What is Nano Banana Lite?
A separate entry from the same family, running at one fixed output size. It removes the size decision entirely, which suits batch work where every image has the same destination.
How do I use Nano Banana 2 in Virse?
Select it from the model list, choose an output size, write your prompt, and generate. Attach an image first if you are editing rather than creating from scratch.
Decide by Looking, Not by Guessing
Generate the spread, lay it out, and let the comparison make the decision a single render never can.