{"id":266980,"date":"2026-10-07T00:27:43","date_gmt":"2026-10-07T07:27:43","guid":{"rendered":"https:\/\/picsart.com\/blog\/?p=266980"},"modified":"2026-10-07T00:27:43","modified_gmt":"2026-10-07T07:27:43","slug":"nano-banana-2-1-picsart-integration","status":"publish","type":"post","link":"https:\/\/picsart.com\/blog\/nano-banana-2-1-picsart-integration\/","title":{"rendered":"Nano Banana 2.1 is now available in Picsart"},"content":{"rendered":"

Google released Nano Banana 2.1<\/a> in October 2026, and it is now available in Picsart AI Playground<\/a>. The new Nano Banana model generates and edits images from text and image input, outputs in 1K, 2K or 4K across 15 aspect ratios, and supports multi-turn editing, so a picture can be refined over a whole conversation instead of rebuilt from a fresh prompt every time. In Google’s own side-by-side human evaluations, it scored ahead of both Nano Banana 2 and Nano Banana Pro in every text-to-image and editing category reported.<\/p>\n

What is Nano Banana 2.1?<\/span><\/h2>\n

Nano Banana 2.1 is the latest image model in Google’s Nano Banana line and a member of the Gemini 3 series of natively multimodal reasoning models. It is built on Gemini 3.6 Flash. It takes text and images as input, and it can return image and text output in the same response. Google aims it at four kinds of work: creating and editing images with professional precision and control over multiple quick iterations, generating clear text for posters and intricate diagrams, drawing on real-world knowledge, and rendering localized text across several languages.<\/p>\n

Generate and edit in one conversation<\/span><\/h2>\n

Editing carries as much weight as generation in this release. Nano Banana 2.1 supports multi-turn image editing, and Google evaluated it on both static and dynamic conversations. A session can run as a back-and-forth: generate a first version, ask for a change, look at the result, and ask for the next one.<\/p>\n

Edit with a doodle<\/h3>\n

Ink-based editing is one of the editing modes Google built and tested the model for. Draw on the picture to direct the edit. Mask and ink-based editing is also one of the categories where the new model pulled clearly ahead of Nano Banana 2 in Google’s tests. Google notes that instruction following and ink persistence in doodle edits are still partial, so a tricky edit can take more than one pass.<\/p>\n

Objects, environments, styles and characters<\/h3>\n

Google’s editing evaluations cover general image editing, stylization, character editing, and object and environment editing. Swap an object, move a scene into a new environment, restyle the whole image, or change something about a character. Character consistency between the input images and the output is not always perfect, and Google reports rare cases where an edit keeps the pose of the original subject.<\/p>\n

Several images, one result<\/h3>\n

Multi-image editing covers multi-product recontextualization and multi-character scenes. Bring several product shots into one new scene, or place several characters in the same frame. Multi-character consistency is also where the new model posted its largest score gain over Nano Banana 2.<\/p>\n

Resolutions and formats<\/span><\/h2>\n

Output comes in 1K, 2K or 4K resolution, across 15 aspect ratios that run from square to wide banner shapes.<\/p>\n

The 15 aspect ratios<\/strong><\/p>\n