The generator sits at the top of the page. Whether you arrived by typing nanobanana 2.1 or the full name, the four steps below are the same.
Pick text-to-image for a fresh concept or image-to-image when a photo has to stay recognizable. Name the subject first, then the setting, the lighting, and any exact words that must appear in the frame. A workable pattern is subject, setting, lighting, then one line naming what must stay unchanged.
Upload product angles, a face, or a rough layout so the model anchors to something real. On SoraLum AI the edit mode accepts four reference images per run, enough for a product plus a mood board.
Choose anything from square to 21:9, or go extreme with 8:1 banners and 1:8 strips. Pick PNG, JPEG, or WebP, and switch on web search when the image depends on current facts such as today's weather or a live product.
Treat the first result as a draft. Describe only the part you want changed, such as the mug on the left or the headline color, and rerun. Repeated edits stay stable instead of drifting away from the version you approved.
Google shipped Nano Banana 2.1 in October 2026 as the efficient sibling of Nano Banana Pro, built on the Gemini 3.6 Flash base and published as gemini-nano-banana-2.1. On the model card it leads Nano Banana 2 on every benchmark, with the widest gap in multi-character consistency. The Nano Banana 2.1 vs Pro question mostly comes down to price and style references, which the sections below spell out.
Complex briefs with several subjects, a style note, and placement rules come back with the pieces where you asked for them. Fewer reruns to fix the one detail an older model dropped. Ask for three mugs on a wooden table with the handles facing left and you get three, not a pleasing arrangement of four.
Draw on the area or describe it, and only that patch changes. Google reports the biggest editing gains in mask-based and ink-based edits, so swapping a jacket or a sign no longer disturbs the face beside it.
Faces, outfits, and props stay recognizable across a storyboard or a campaign. The model card scores multi-character consistency about 128 Elo points above Nano Banana 2.
Headlines, menus, labels, and diagram callouts render with correct letter shapes. Infographic factuality nearly triples versus the previous Flash model, and localized text across several languages improves.
Whether you call it nanobanana 2.1 or use the full name, four jobs cover most of what people bring to this model. They are also where Nano Banana 2.1 vs Pro rarely matters, because 2.1 handles them at a quarter of the price.
Six things worth knowing before you spend a credit. The generator here runs the gemini-nano-banana-2.1 endpoint at 1K, which keeps each pass fast and cheap; higher resolutions are a model capability rather than a setting on this page.
The model renders at 1K, 2K, or 4K, roughly 16 megapixels at the top end for print and large displays. SoraLum AI runs 1K by default, so a text-to-image pass costs 8 credits and an edit pass costs 10.
Short headlines, price tags, packaging copy, and chart labels come back with correct spelling and spacing. Long paragraphs and tiny captions still blur, so keep on-image copy short. If a label must be exact, put the wording in quotes and say where it sits in the frame.
Standard ratios from 21:9 to 9:16 plus 4:1, 1:4, 8:1, and 1:8 for banners, panoramas, and vertical strips. The tiling artifacts that hit extreme ratios at 2K and 4K are fixed in this release.
Switch on web search and the model pulls current facts into the image, from a live weather map to this week's product details. On SoraLum AI it adds two credits to the run rather than a separate fee.
The model reasons before it renders. gemini-nano-banana-2.1 runs at the medium level here, which plans layout and text placement without noticeably slowing a 1K pass.
Combine a product, a face, and a layout sketch in one edit. The API accepts up to 14 references, with 10 objects and 4 characters per request; this page caps uploads at four to keep runs quick.
Launch reactions, benchmark threads, and side-by-side tests from creators who ran nanobanana 2.1 against GPT Image 2.5, Flux 3, and Nano Banana Pro in the first week. Open any card to read the full thread and the replies.
Hands-on reviews that cover speed, pricing, and the gemini-nano-banana-2.1 edit workflow, so you can see real outputs before you spend a credit. Most were recorded within days of launch, so the builds match what runs here.
Short answers on nanobanana 2.1 spelling, cost, upload limits, and the gemini-nano-banana-2.1 model ID before your first run.
Still deciding between the two Google models? Read our full nano banana 2.1 vs pro comparison with per-image prices.
