Google's latest image generation model Nano Banana 2 offers advanced world knowledge, production-ready specs, subject consistency and more, all at Flash speed.
Major update from @Google: Nano Banana 2 🍌 (Gemini 3.1 Flash Image). It’s state-of-the-art for creating and editing images, combining Pro-level capabilities with lightning-fast speed.
You now get:
Advanced world knowledge powered by Gemini
Real-time web search grounding for accurate subject rendering
Rapid edits and iteration with Gemini Flash speed
This isn’t just faster images, it’s context-aware generation.
What's new?
Stronger instruction following: Better adherence to complex prompts means fewer retries and more predictable outputs critical for production workflows.
Accurate text + localization: Clean, legible in-image text and translation & localization support. Huge for marketing creatives, infographics, greeting cards, and global campaigns.
Subject consistency: Maintain resemblance across up to 5 characters. Preserve fidelity of up to 14 objects. That unlocks storyboarding, ad sequences, brand mascots, and UI continuity.
Production-ready visuals: Richer lighting, textures, sharper details. Flexible aspect ratios. Resolution control from 512px to 4K. No more heavy post-processing or upscaling hacks.
Rolling out across:
Google Ads
Google Antigravity
Vertex AI (preview)
Search AI Mode & Lens
Flow (default, zero credits)
AI Studio + Gemini API (preview)
Gemini app (replacing Pro in Fast/Thinking/Pro modes; Pro still accessible via regenerate for AI Pro & Ultra users)
Expanded to 141 countries + 8 new languages. This isn’t a demo model, it’s deeply embedded.
Provenance built in
SynthID watermarking
C2PA Content Credentials support coming to Gemini
20M+ SynthID verifications already
Google is clearly building long-term trust infrastructure.
It's blazing fast. Masters text in any language. Handles custom aspect ratios, generates up to 6 consistent character images, leverages real-world knowledge for hyper-niche visuals, and taps real-time web search data for spot-on renders of anything specific.
This is clearly aimed at high-frequency pipelines, think bulk UGC ad creation, or generating consistent frames for video models like @KLING AI or @Seedance AI Video Generator. If the pricing is as low as the previous Flash models, this might be the most important release.
How does Nano Banana 2 perform compared to other leading image models in terms of realism and prompt accuracy?
Subject consistency across up to 5 characters and 14 objects is the feature that jumps out for me. That's the capability that makes brand mascots, ad sequences and storyboarding actually viable at production scale, without manual frame-by-frame fixing.
The accurate in-image text with localization support is also a big deal for marketing creatives. That's been a persistent weak spot across every image model and getting it right unlocks a huge amount of real campaign work.
I orchestrate multiple image models in my AI branding platform and Flash-speed generation with production-ready quality is exactly the kind of primitive that changes what's economically feasible in high-volume creative workflows. Curious how it holds up on complex typographic layouts. Congrats on the launch! 🍌
Google is moving crazy fast here.
Honestly, competitors still haven’t caught up with Nano Banana Pro, and now they shipped another update already.
The iteration speed is kinda wild — feels like they’re widening the gap every release.
Major update from @Google: Nano Banana 2 🍌 (Gemini 3.1 Flash Image). It’s state-of-the-art for creating and editing images, combining Pro-level capabilities with lightning-fast speed.
You now get:
Advanced world knowledge powered by Gemini
Real-time web search grounding for accurate subject rendering
Rapid edits and iteration with Gemini Flash speed
This isn’t just faster images, it’s context-aware generation.
What's new?
Stronger instruction following: Better adherence to complex prompts means fewer retries and more predictable outputs critical for production workflows.
Accurate text + localization: Clean, legible in-image text and translation & localization support. Huge for marketing creatives, infographics, greeting cards, and global campaigns.
Subject consistency: Maintain resemblance across up to 5 characters. Preserve fidelity of up to 14 objects. That unlocks storyboarding, ad sequences, brand mascots, and UI continuity.
Production-ready visuals: Richer lighting, textures, sharper details. Flexible aspect ratios. Resolution control from 512px to 4K. No more heavy post-processing or upscaling hacks.
Rolling out across:
Google Ads
Google Antigravity
Vertex AI (preview)
Search AI Mode & Lens
Flow (default, zero credits)
AI Studio + Gemini API (preview)
Gemini app (replacing Pro in Fast/Thinking/Pro modes; Pro still accessible via regenerate for AI Pro & Ultra users)
Expanded to 141 countries + 8 new languages. This isn’t a demo model, it’s deeply embedded.
Provenance built in
SynthID watermarking
C2PA Content Credentials support coming to Gemini
20M+ SynthID verifications already
Google is clearly building long-term trust infrastructure.
It's blazing fast. Masters text in any language. Handles custom aspect ratios, generates up to 6 consistent character images, leverages real-world knowledge for hyper-niche visuals, and taps real-time web search data for spot-on renders of anything specific.
This is clearly aimed at high-frequency pipelines, think bulk UGC ad creation, or generating consistent frames for video models like @KLING AI or @Seedance AI Video Generator. If the pricing is as low as the previous Flash models, this might be the most important release.
What do you think? :)