News
Key Takeaways: What’s New in Gemini AI Editing
- Enhanced AI image editing. The Gemini app now features advanced DeepMind-powered model.
- Likeness preservation focus. Updated AI editing tool maintains subject consistency across multiple edits.
- Improved user interface. Content creators gain more precise, flexible editing capabilities to streamline visual workflows.
Google released a new AI image editing model from Google DeepMind, now integrated into the Gemini app. The update, available August 26, 2025, focuses on maintaining subject likeness across edited images.
According to company officials, the enhanced editing capabilities allow users to maintain consistent appearances when editing photos of people, pets and objects. The technology enables combining multiple photos, iterative editing and style transfers, all while preserving subject identity.
Table of Contents
- How Gemini Stacks Up in the AI Image Editing Race
- What the New Gemini AI Image Tool Can Actually Do
- Introducing Gemini 2.5 Flash Image, AKA Nano-Banana
- Use Cases: AI Image Editing for Marketing, Content Creation and Beyond
How Gemini Stacks Up in the AI Image Editing Race
Google's Gemini app enters an increasingly competitive field where tools like Midjourney, DALL-E and Stable Diffusion have established themselves as popular options for marketers.
The new DeepMind model arrives as businesses increasingly rely on AI to extend the shelf life of digital assets and reduce production costs. According to industry reports, AI allows brands to rapidly refresh existing visuals without organizing costly photoshoots.
The market has evolved beyond basic image generation to more sophisticated editing capabilities. Smartphone manufacturers like Oppo have already integrated AI tools that enhance photography by erasing unwanted objects and correcting common issues. For marketers, these technologies enable greater personalization and inclusivity by generating diverse models and customized styling.
Google's emphasis on maintaining subject likeness addresses a key challenge for businesses that need consistent brand representation across multiple images. The addition of watermarking also responds to growing concerns about legal implications of AI-generated content, as regulations continue to evolve in this space.
Related Article: What AI Executives Need to Know About Fair-Use Law
What the New Gemini AI Image Tool Can Actually Do
According to Google, the new AI image editing capabilities offer several advanced functions:
| Feature | Description |
|---|---|
| Likeness preservation | Maintains subject consistency across multiple edits |
| Photo combination | Blends multiple images into composite scenes |
| Multi-turn editing | Allows iterative changes while preserving image elements |
| Style transfer | Applies visual elements from one image to objects in another |
| Video conversion | Transforms edited images into video content |
| Dual watermarking | Includes visible and invisible SynthID watermarks |
Introducing Gemini 2.5 Flash Image, AKA Nano-Banana
Alongside the DeepMind model integration, Google also unveiled Gemini 2.5 Flash Image, its latest state-of-the-art image generation and editing model nicknamed “nano-banana.” This update, available via the Gemini API, Google AI Studio and Vertex AI, introduces advanced features like multi-image fusion, targeted natural-language edits, character consistency across different prompts and the ability to leverage Gemini’s built-in world knowledge for more realistic results.
Developers can build with Gemini 2.5 Flash Image immediately, priced at $30 per 1M output tokens (about $0.039 per image). Early demos showcase whimsical prompts such as “a cat eating a nano-banana in a fancy restaurant under the Gemini constellation."
Google has also rolled out template apps in AI Studio to demonstrate practical uses, from real estate listing cards and dynamic product mockups to photo editing tools that let users remove objects, alter poses or restyle images with a single prompt. All outputs include SynthID watermarking, ensuring AI-edited content remains identifiable.
Related Article: AI-Powered Photoshoots: A Game Changer for Digital Marketing
Use Cases: AI Image Editing for Marketing, Content Creation and Beyond
Gemini’s new DeepMind-powered editing capabilities offer practical advantages for a range of industries looking to streamline visual content production while preserving brand consistency. From marketing teams to ecommerce brands, the ability to maintain subject likeness and iterate on assets without starting from scratch unlocks measurable efficiency gains.
With the release of Gemini 2.5 Flash Image, those advantages extend even further. Features like multi-image fusion, native world knowledge and fine-grained prompt-based editing give businesses and creators more powerful control over how assets are generated, remixed and deployed.
Content Creators
For content creators, the multi-turn editing and style transfer functions support faster experimentation with visual formats, making it easier to produce thumbnails, social posts and promotional content tailored to different platforms. Creators can remix the same base image across multiple channels while ensuring their visual identity remains intact.
With Nano-Banana, creators can also build on AI Studio templates to instantly generate editing apps, remix images or even combine hand-drawn sketches with prompts. For example, an illustrator could upload a drawing, then prompt the model to place the character in different environments without losing consistency.
Digital Marketers
In digital marketing, the ability to combine photos or transform edited images into video enables rapid campaign localization and versioning — without reshooting or re-editing from scratch. Teams can generate multiple visual variants for A/B testing or regional adaptation while keeping product images and brand ambassadors visually consistent across touchpoints.
Nano-banana’s expanded toolkit lets marketers go further, fusing multiple product shots into one lifestyle image, tailoring visuals with real-world knowledge (such as local landmarks for regional campaigns) and deploying them quickly through customizable AI Studio apps.
Ecommerce Leaders
Ecommerce businesses and retail brands can benefit from likeness preservation in product photography and model imagery. Instead of coordinating repeated shoots with the same models, marketers can refresh seasonal visuals using AI image editing, reducing costs and time to market.
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Gemini 2.5 Flash Image adds new dimensions here: retailers can instantly generate product mockups across entire catalogs using template-driven workflows, restyle product shots with different textures or colors or merge multiple product images into a single photorealistic scene for marketing campaigns.
Across all of these use cases, the ability to automate photo editing while maintaining fidelity to the original subject offers a key step forward in scaling creative output without sacrificing control over visual brand elements.
