Google 出了个 Nano Banana 2 Lite 图像模型，最快最便宜，能生成沃尔多风格找图，比上一版好但拼写会错。
Google 发布了 Nano Banana 2 Lite，即 Gemini 3.1 Flash Lite Image 图像模型，声称是“最快最便宜的 Gemini 图像模型”。作者在 AI Studio 用提示词生成了“寻找拿着火腿收音机的浣熊”风格的图片，效果优于4月时其他 Nano Banana 模型的尝试。模型在生图时出现了两处拼写错误（如“Forest Festival”拼错）。该模型专为高速度和大规模部署设计，API 名称为 gemini-3.1-flash-lite-image。
Nano Banana 2 Lite
Nano Banana 2 Lite Also known as Gemini 3.1 Flash Lite Image ( gemini-3.1-flash-lite-image in their API ), this is the "fastest and cheapest Gemini image model, engineered for velocity and scale". I used AI studio to run this prompt: Do a where's Waldo style image but it's where is the raccoon holding a ham radio I like that one better than the results I got from the other Nano Banana models when I tried this back in April. It spelled Forest Festival wrong in two different ways though. Via Hacker News Tags: google , ai , generative-ai , llms , gemini , text-to-image , llm-release , nano-banana