AI Image Generator
Generate AI image with Nano Banana: text to image and image to image, all from one Vidney workspace.
Output
Hand it a person, a product, a backdrop and a style at once. It fuses them into one scene with shared lighting, perspective and color.
A sleek perfume bottle from a studio shot placed on a sunlit marble countertop with soft morning light, composited as one natural scene
Refine by talking: make it dusk, pull the camera back, warm the palette. Each note builds on the last state instead of resetting.
A cozy bookshop interior at dusk, warm lamplight, rain on the windows, a cat asleep on a stack of books
A face, outfit or brand look stays recognizably the same across many freshly generated scenes, which is what keeps a storyboard or campaign coherent.
A character sheet of the same young woman with auburn hair in three poses, front-facing smile, side profile, and looking upward, with a consistent face and outfit
Signs, labels and titles come out spelled correctly and set into the surface's perspective and lighting, not floating as a flat overlay.
A retro travel poster that reads VISIT KYOTO in clean vintage lettering, with a five-storied pagoda and cherry blossoms
Put one subject into freshly invented surroundings: light, shadow and reflection all match the new setting.
A model from one shot, a jacket from another, a mood from a third, fused into one believable frame.
Define a character once and generate them on-model across a whole sequence: storyboard, character sheet, comic spread.
Steer turn by turn: cooler palette, higher horizon, a title across the top. The picture evolves instead of restarting.
How the model is built and what it was trained to do, drawn from official docs and independent reviews.
Nano Banana is the codename for Gemini 2.5 Flash Image, an image generation and editing model from Google DeepMind. It first appeared anonymously on the LMArena leaderboard in August 2025, went viral before anyone knew who built it, and Google confirmed it as its own model when it launched in the Gemini app and API later that month. Unlike standalone image generators, it is a natively multimodal Gemini model, so the same model reads your text and reference photos together, and each generated image is billed as 1,290 output tokens (about $0.039 per image via the API).
Google built it in response to feedback on Gemini 2.0 Flash image generation, where developers liked the low latency but asked for higher quality and more creative control. Its headline abilities are keeping a character's likeness consistent across many edits and scenes, fusing several input photos into one image, making targeted edits from plain-language instructions (blur the background, remove an object, change a pose), and drawing on Gemini's world knowledge, for example reading a hand-drawn diagram before rendering it. On launch it became the top-rated image editing model on LMArena.
Google is open about what is not solved yet: the launch post says the team is still working on long-form text rendering, more reliable character consistency, and factual accuracy in images. Independent testing echoes this, with quality degrading over long chains of iterative edits and small details like tiny text on product labels sometimes coming back distorted. The model is positioned for speed and high-volume conversational editing rather than maximum resolution, which is what the later Pro tier targets.
Every image the model generates or edits carries SynthID, Google's invisible digital watermark, so output can be identified as AI-made even if visible metadata is stripped. This applies across the Gemini app, the Gemini API, and Vertex AI. Google has not published a technical report detailing the model's architecture, so third-party claims about its internals remain unverified.
Sources: googleblog.com · google.dev · blog.google
Nano Banana is Google's Gemini-family image model, and people open it when one source image is not enough. Concept artists and art directors feed it several references at once, a face, a garment, a location plate, a mood board, and ask it to fuse them into one coherent frame. Brand and social teams iterate a look by talking to it, refining a composition over several turns instead of re-writing a prompt from zero. Character designers and comic creators lean on it to hold the same face, outfit, and palette across a whole series of freshly generated scenes. It also renders legible words inside the image, which helps anyone laying out a poster or title card. Compared with Flux Kontext, the line is clear. Pick Nano Banana when you are compositing multiple inputs, inventing a new scene, or carrying one identity through many generated images, and when conversation beats a single command. Pick Kontext instead when you have one finished photo and need a surgical, faithful change to a single region. On Vidney, both run from one credit balance, so the model can follow the job.
Create AI image with Nano Banana on Vidney in three steps.
Specs side by side with similar models, all runnable on Vidney.
| Nano Banana | Nano Banana 2 | Nano Banana Pro | Seedream 5.0 Lite | |
|---|---|---|---|---|
| Task modes | Text to Image · Image to Image | Text to Image · Image to Image | Text to Image · Image to Image | Text to Image · Image to Image |
| Cost | 6 credits per generation | 9 credits per generation | 12 credits per generation | 9 credits per generation |
Recurring themes from public reviews, comparisons and creator write-ups. Both the good and the bad.
Creators consistently praise its character consistency: it keeps the same face and subject recognizable across repeated edits and new scenes, the capability that made the model go viral on LMArena before Google even claimed it.
Reviewers and Reddit users highlight how fast and natural conversational editing feels, with plain-language requests like changing the season or relighting a photo coming back realistic enough for product retouching and e-commerce work.
Many point to the value: a free tier in the Gemini app and roughly four cents per image via the API, far cheaper than subscription-only rivals.
A common complaint is overly strict content filtering, with users reporting that harmless creative requests get refused often enough to disrupt real workflows.
Users also report that quality degrades over long chains of iterative edits, and that fine details in busy scenes, such as small text on labels or hands in group poses, often come back distorted.
More AI image models you can run on Vidney.
Generate AI image with Nano Banana 2: text to image and image to image, all from one Vidney workspace.
Generate AI image with Nano Banana Pro: text to image and image to image, all from one Vidney workspace.
Generate AI image with Midjourney V7: text to image and image to image, all from one Vidney workspace.
Generate AI image with Flux Kontext Pro: text to image and image to image, all from one Vidney workspace.
Generate AI image with Seedream 4.0: text to image and image to image, all from one Vidney workspace.
Generate AI image with Seedream 5.0 Lite: text to image and image to image, all from one Vidney workspace.
Nano Banana is an AI image model you can run on Vidney. It supports text to image and image to image from a single workspace.
Nano Banana costs 6 credits per generation. The exact credit cost is shown on the generate button before you run it.
Nano Banana supports the following aspect ratios: 1:1, 4:3, 3:4, 16:9, 9:16.
You can start with Nano Banana for free on Vidney using your sign-up credits, no card required to try it. After that each run costs 6 credits per generation, and the exact cost is always shown on the generate button before you spend a credit.
Yes. The images you generate with Nano Banana on Vidney are yours to use in commercial projects: ads, social posts, client work, and product content. You keep the output; Vidney only handles generation and storage.
No. Nano Banana images generated on Vidney are delivered clean, with no Vidney watermark, ready to publish or hand to a client as-is.
The closest Nano Banana alternatives on Vidney are Nano Banana 2, Nano Banana Pro, and Seedream 5.0 Lite. They all run in the same workspace from one credit balance, so you can run the same prompt on each and compare the results side by side.
No. Vidney runs Nano Banana for you, so there are no API keys to manage and no separate provider account to set up.
