Google AI: Release Notes Behind the scenes of Google's state-of-the-art "nano-banana" image model
Aug 27, 2025
Nicole Brichtova and Mostafa Dehghani from Google's Gemini team dive into the innovative features of their cutting-edge image model, Gemini 2.5 Flash. They discuss how the model enables intricate edits through interleaved generation and its ability to maintain character consistency. Listeners learn about the playful 'nano-banana' concept, showcasing real-time transformations that enhance user engagement. The duo also reflects on the integration of text rendering and user feedback, paving the way for future advancements in image generation technology.
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Big Quality Leap And Creative Interpretation
- Gemini 2.5 Flash shows major quality gains in both image generation and editing, enabling natural multi-turn conversations.
- The model creatively interprets vague prompts while keeping scene coherence and subject identity.
Nano Banana Demo With Logan
- Nicole edited Logan's photo into a 'nano banana' costume using a short, vague prompt.
- The model kept Logan's face recognizably the same while inventing a cohesive new scene.
Text Rendering As A Quality Signal
- Text rendering serves as a reliable proxy metric for overall image structural quality during training.
- Tracking this metric prevents regressions and reveals unexpected beneficial changes.