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Google Nano Banana, also known as Gemini 2.5 Flash Image, is a new image generation and editing model from Google that allows users to edit images using natural language prompts. The article outlines five techniques for image editing, including object removal, photo colorization, text addition to billboards, maintaining character consistency, and creating branding assets, demonstrating the model's capabilities and ease of use in various scenarios.
Figma is enhancing its platform by integrating Google's generative AI models, including Gemini 2.5 Flash and Imagen 4, to significantly speed up image generation and editing, achieving a 50% reduction in latency. The integration maintains enterprise governance with opt-out controls for AI content training and ensures image quality with built-in watermarking for provenance. This move aims to streamline design processes while adhering to organizational standards and expectations.
Google has unveiled a new AI image model that enhances photo editing capabilities, allowing users to make smarter adjustments to their images. This innovative technology aims to simplify the editing process while improving the quality of the final output. The model reflects Google's ongoing commitment to integrating AI into creative tools, making sophisticated editing accessible to a wider audience.
Adobe has integrated Google's Gemini 2.5 Flash Image into its Firefly and Adobe Express platforms, allowing creators enhanced capabilities in visual generation. To celebrate this launch, Adobe is offering unlimited generations for Firefly and Creative Cloud subscribers until September 1, while new users on the free plan can access up to 20 generations. Despite the advancements in image quality and editing control, Google acknowledges that the model has limitations, including potential inaccuracies in generated content.
Google has introduced the "nano banana" model, a significant advancement in AI image editing, now available in the Gemini app. This model enhances consistency in edits, allowing for creative modifications of images while retaining recognizable features of the original source. Users can experiment with styles and attire changes without losing the essence of the initial image.