Google AI image model Nano Banana 2.1 released to improve visual design, mask editing, and subject consistency谷歌 AI 图像模型 Nano Banana 2.1 发布,提升视觉设计、蒙版编辑、主体一致性
Google today officially released Nano Banana 2.1, an upgraded version of the company's AI image generation and editing model. Google emphasizes that the new version of Nano Banana 2.1 has achieved an all-round improvement in visual design, mask-based…
IT之家 10 月 7 日消息,谷歌于今日正式发布了 Nano Banana 2.1,这是该公司 AI 图像生成与编辑模型的升级版本。谷歌强调,新版 Nano Banana 2.1 实现了全方位提升,在视觉设计、基于蒙版…
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Google today officially released Nano Banana 2.1, an upgraded version of the company's AI image generation and editing model. Google emphasized that the new version of Nano Banana 2.1 has achieved all-round improvements, especially in visual design, mask-based image editing, and subject consistency. Earlier this year, Google launched Nano Banana 2, also known as Gemini 3.1 Flash Image. The Nano Banana 2 achieves the same level of graphics quality as the Nano Banana Pro, while boasting the high-speed features of the Google Flash family of models. Google has also downgraded a number of features that originally belonged to the Pro version to this lower-positioned model, including real-world knowledge base, text rendering effect optimization, and character and object consistency performance improvement. IT House notes that Nano Banana 2.1 builds on its original capabilities and improves in three main directions: Visual Design: Nano Banana 2.1 produces better composition and more complete visuals. Mask editing: Users can more accurately select and modify local areas of an existing image without having to regenerate the entire screen. Subject consistency: When performing editing operations or generating multiple associated images in batches, the model can better preserve the appearance and characteristics of the main body of the screen. The improved subject consistency is very practical for Gemini users, which can ensure that the same person or object remains unified in the appearance of multiple generated results. Google Nano Banana 2.1 is now gradually deployed, covering the Gemini app, the AI model of Google Search, Google AI Studio, Google Flow, Stitch, Google Ads, and the Gemini Enterprise Platform. For developers, Nano Banana 2.1 has been officially opened, corresponding to the model ID gemini ‑ nano ‑ banana ‑ 2.1; the model supports text, picture, audio, and video inputs, and can output images in 1K, 2K, and 4K resolutions. Today, OpenAI's ChatGPT Images 2.5 remains the world's leading image generation editing model. When the user continues to fine-tune an image, it is better at retaining the previous round of modifications, does not change areas that have not been edited, and does not deteriorate the quality of the original image with repeated iterations. The OpenAI product is followed by Microsoft AI's Mai ‑ Image ‑ 2.6 model, which was released in August this year.
IT之家 10 月 7 日消息,谷歌于今日正式发布了 Nano Banana 2.1,这是该公司 AI 图像生成与编辑模型的升级版本。谷歌强调,新版 Nano Banana 2.1 实现了全方位提升,在视觉设计、基于蒙版的图像编辑以及主体一致性这几方面的进步尤为突出。 今年早些时候,谷歌推出了 Nano Banana 2,也被称作 Gemini 3.1 Flash Image。Nano Banana 2 在拥有谷歌 Flash 系列模型高速特性的同时,实现了与 Nano Banana Pro 同级别的出图质量。谷歌还把多项原本属于 Pro 版本的功能下放至这款定位更低的模型,包括现实世界知识库、文字渲染效果优化,还有角色与物体的一致性表现提升。 IT之家注意到,Nano Banana 2.1 在原有能力的基础之上,主要在三大方向做出改进: 视觉设计:Nano Banana 2.1 可以生成构图效果更佳、完成度更高的视觉素材。 蒙版编辑:用户能够更加精准地选中并修改现有图像的局部区域,无需重新生成整张画面。 主体一致性:在执行编辑操作或者批量生成多张关联图片的时候,模型可以更好地保留画面主体的样貌与特征。 改进后的主体一致性对于 Gemini 用户而言实用性很强,可以保证同一个人物或者物体在多次生成结果当中保持样貌统一。谷歌 Nano Banana 2.1 现已逐步部署上线,覆盖 Gemini 应用、谷歌搜索的 AI 模式、Google AI Studio、Google Flow、Stitch、谷歌广告以及 Gemini 企业平台。 面向开发者,Nano Banana 2.1 已经正式开放,对应的模型 ID 为 gemini‑nano‑banana‑2.1;该模型支持文本、图片、音频以及视频输入,同时可以输出 1K、2K 以及 4K 分辨率的图像。 目前,OpenAI 的 ChatGPT Images 2.5 依旧是全球领先的图像生成编辑模型。在用户持续微调一张图片时,它更擅长保留上一轮的修改成果,不会改动没有编辑的区域,也不会随着反复迭代让原图画质变差。紧随 OpenAI 这款产品之后的是微软 AI 的 MAI‑Image‑2.6 模型,该模型于今年 8 月发布。
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