Model · Last updated April 5, 2026

Nano Banana 2 for AI agents

Nano Banana 2 is the faster, more scalable image model in the current AnyCap image stack. It is a strong fit when an agent needs to generate or revise many visual drafts quickly instead of optimizing for a single polished first pass. Through AnyCap, it stays in the same CLI and runtime as Seedream 5, Nano Banana Pro, video generation, and downstream analysis steps.

Generated example

Generated example for high-volume iteration

The example below leans into Nano Banana 2's speed story. Instead of a single hero shot, it shows a multi-variant board that feels closer to how teams review fast batches of marketing concepts.

Clean three-panel review board showing a matte graphite laptop in three visual directions on an off-white studio background. — Nano Banana 2 output

This three-variant review board was generated with Nano Banana 2 through AnyCap to show how the model fits fast variation and review loops.

Prompt used with AnyCap

triptych of the same matte graphite laptop product hero in three visual directions, off-white studio background, three side-by-side panels, clear variation in accent lighting and card styling, clean review board layout, no labels, no sticky notes, no text, no typography, no watermark

When agents should choose Nano Banana 2

Fast text-to-image generation for high-volume visual workflows
Image-to-image iteration loops where latency matters as much as quality
Marketing assets, product mockups, storyboards, and repeatable content generation
Teams comparing Seedream 5 vs Nano Banana 2 or Nano Banana Pro vs Nano Banana 2 for throughput

Call Nano Banana 2 through AnyCap

Generate a draft image fast

anycap image generate --model nano-banana-2 --prompt "clean product hero illustration on an off-white background" -o draft.png

Iterate from a reference image

anycap image generate --model nano-banana-2 --mode image-to-image --prompt "turn this into a cleaner launch visual with softer shadows" --param reference_image_urls='["./input.png"]' -o variant.png

Inspect the model schema

anycap image models nano-banana-2 schema --operation generate --mode text-to-image

Nano Banana 2 vs nearby choices

Dimension	Nano Banana 2	Alternative
Best fit	Fast, scalable image generation and iterative editing across larger prompt volumes	Choose Seedream 5 for a more polished first pass or Nano Banana Pro for higher-end revision loops
Workflow role	High-efficiency default for repeated generation and editing tasks	Use a sibling model when the workflow is more quality-sensitive than speed-sensitive
Typical agent task	Turn a prompt into a usable draft asset fast, then iterate or batch variants	Move to Nano Banana Pro or Seedream 5 when the draft needs a more polished finishing pass

FAQ

What is Nano Banana 2 best for?

Nano Banana 2 is best for fast, scalable image generation and image-to-image iteration when agents need more speed and throughput across many visual tasks.

How do agents call Nano Banana 2 through AnyCap?

Agents can call it with the AnyCap CLI using anycap image generate --model nano-banana-2 and either a text prompt or image-to-image mode.

Should I use Seedream 5 or Nano Banana 2?

Use Seedream 5 when the main goal is a polished first-pass visual. Use Nano Banana 2 when the workflow needs faster iteration, more variants, or lower-latency image generation at scale.

Image Generation Seedream 5 Nano Banana Pro

CLI version and updating · 0.6.5

Current release checked October 21, 2026: 0.6.5. Use the update command for your installation method, then verify the version and login in the same environment that runs your agent.

Direct binary installation

anycap update

npm installation

npm install -g @anycap/cli@latest

anycap --version
anycap status

Version 0.6.5 retries transient downloads, recovers an expired video link by querying the same task, and saves multiple image outputs to numbered files. After a video download failure, resume the existing task instead of generating again.

anycap video tasks wait <task-id> -o result.mp4

Dated examples retain the CLI version, output and charge from the original run. Updating the CLI does not revalidate an old result. Check the live model schema and current pricing before a new billed task.