Nano Banana 2.1: Steadier Faces for AI Avatars

You finally have an AI avatar whose face you love. Then you ask for a new outfit, a new room, a second person in the frame, and by the third edit she looks like her cousin. If that drift is the thing that keeps you from posting regularly, there is a new option: on October 6, 2026, Google made Nano Banana 2.1 generally available, an update to Nano Banana 2 aimed squarely at keeping characters consistent across turns.

• Nano Banana 2.1 (model code gemini-nano-banana-2.1) is a stable, generally available update to Nano Banana 2 (Gemini 3.1 Flash Image), released October 6, 2026.
• Up to 14 reference images in one request: character consistency for up to 4 characters and object fidelity for up to 10 objects.
• 1K, 2K and 4K output (1K is the default), plus configurable thinking levels: minimal, medium (the default) and high.
• Nano Banana 2 is deprecated and points to 2.1 as its replacement. Google's deprecations table lists no shutdown date for it yet.

Google describes the update as keeping Flash-level speed and cost while improving visual quality, prompt adherence, multi-turn character consistency and text rendering. That last group matters most for avatar work. Multi-turn means the face has to survive a conversation: generate, edit, edit again. On Google DeepMind's own model card, Nano Banana 2.1 with thinking scores 1028 on single-character consistency and 1106 on multi-character consistency, against 981 and 978 for Nano Banana 2. These are self-reported human-preference ratings, not independent tests, but the direction is clear and the multi-character jump is the largest on the card.

It is also cheaper. LLM Stats, reading Google's Gemini API price list, puts Nano Banana 2.1 at about $0.034 per 1K image and $0.050 per 2K image, roughly half of Nano Banana 2 at the same sizes. At 4K the gap is smaller: about $0.113 against $0.151. The model is available in the Gemini app, Google AI Studio, the Gemini API and Google Flow, among other Google products, according to the model card.

How to keep one avatar's face now that Nano Banana 2.1 is out

The following images were generated using Nano Banana 2:

1. Build a small reference set first. Make one clean, front-facing portrait in soft daylight and two or three angles of the same face. With room for 14 references and 4 characters, you can keep the face, a second recurring person and a few signature props in a single request instead of re-explaining them every time.
2. Write down the identity anchors. Pick three or four details that make the face hers, such as hair length and texture, eye colour, a beauty mark, a pair of earrings, and repeat them word for word in every prompt. Change the outfit and location; never change the anchors.
3. Edit in turns, not in one big prompt. Multi-turn consistency is where 2.1 improved most, so change one thing per turn: first the setting, then the outfit, then the expression. If the face starts to slip, go back to the last good image and branch from there.
4. Use high thinking for hard shots. Group shots, unusual angles and scenes with several references benefit from the high thinking level. Keep minimal for quick variations where speed matters more than precision.

Worked example — the reference portrait. A plain, front-facing portrait that sets the identity anchors every later image must keep.

Prompt (Nano Banana 2, 1:1):
Close-up portrait photograph of a woman in her 30s of South Asian descent with dark wavy shoulder-length hair, warm brown eyes, a small beauty mark above her left lip and small gold hoop earrings, wearing a mustard-yellow linen shirt. She sits at a sunlit home desk by a window, looking straight into the camera with a relaxed smile. Soft morning window light from the left, natural skin texture with visible pores, 85mm lens, shallow depth of field, bright and well exposed, no text, no logos.

Worked example — same face, new scene. The outfit, place, light and expression all change, while the anchors from the first prompt are repeated word for word.

Prompt (Nano Banana 2, 1:1):
Photograph of the same woman in her 30s of South Asian descent with dark wavy shoulder-length hair, warm brown eyes, a small beauty mark above her left lip and small gold hoop earrings, now in a white cotton t-shirt, leaning on the railing of a city apartment balcony in bright afternoon daylight, laughing and looking slightly off camera. City buildings softly blurred behind her, potted plants at the edge of frame. Natural skin texture, 50mm lens, well exposed, no text, no logos.

The honest take: Google's own model card still lists character consistency as "not always perfect" between input images and output, and small text can come out blurry at 1K. So 2.1 narrows the drift rather than ending it. Keep checking every image against your reference before it goes into a post, and expect to regenerate now and then. Receipts: Gemini API model page, Google DeepMind model card, Gemini API deprecations table, LLM Stats launch analysis.

The bottom line for AI avatar creators

If you already generate your avatar with Nano Banana 2, moving to 2.1 is a low-risk upgrade: the same family, better scores on keeping a face steady, more room for references, and a lower price per image at 1K and 2K. Nothing is forcing the move on a set date, since Google has not announced a shutdown date for Nano Banana 2, but new projects should start on 2.1.

Consistency still starts with you, though. A clear reference portrait, fixed identity anchors and small edits one at a time will do more for a recognisable face than any model update. If you want that identity locked from day one, start with your avatar.

FAQs about Nano Banana 2.1

When did Nano Banana 2.1 come out?

Google made it generally available on October 6, 2026, as gemini-nano-banana-2.1. The Google DeepMind model card was published the same day.

How many reference images can Nano Banana 2.1 use?

Up to 14 in one request. Google says that covers character consistency for up to 4 characters and object fidelity for up to 10 objects.

Is Nano Banana 2 being shut down?

It is deprecated and Google recommends Nano Banana 2.1 as the replacement. Google's deprecations table lists no shutdown date for it yet, so check that page before you plan a migration deadline.

What resolutions does Nano Banana 2.1 support?

1K, 2K and 4K, with 1K as the default. Google also fixed tiling artifacts on very wide and very tall ratios such as 4:1 and 1:8 at 2K and 4K.

Does Nano Banana 2.1 keep a face perfectly consistent?

No. It scores higher than Nano Banana 2 on Google's consistency ratings, but the model card itself says consistency between input and output images is not always perfect. A good reference set and careful, one-change-at-a-time editing still matter.