
The trick to creating believable artificial images is to preserve the realism and character consistency across edits, Google says — and the new model has a «particular focus on maintaining a character’s likeness from one image to the next.»
Available in the Gemini app for free, it fares especially better than the competition on image editing and changing the scenery of a photo.
Image generation with Gemini just got a bananas upgrade and is the new state-of-the-art image generation and editing model. 🤯
From photorealistic masterpieces to mind-bending fantasy worlds, you can now natively produce, edit and refine visuals with new levels of reasoning,… pic.twitter.com/hYwA6l4QyY
— Google DeepMind (@GoogleDeepMind) August 26, 2025
The model can take a picture of just about anyone and plop it into historically accurate scenes, predict the next move in a single image or series, or combine pictures to form a brand new scene.
This beats the competition, which often blurs or distorts characters in photos for even slight image edits, like changing the color of a shirt or removing the background, TechCrunch reports.
Extensive real world knowledge
The model relies on the knowledge base of Gemini 2.5 Flash for accurate world-building, and can draw impressive scenes to put characters in.
It can also solve sketched problems in a picture, like unfinished equations or incomplete descriptions right in the same photo, even including the same handwriting.
Now that the model is launched with a proper name, it lands slightly ahead of ChatGPTs Imagen on the LMarena leaderboard for text-to-image tasks, and is quite the leap ahead in image editing.
Won’t do intimate images
The model is decidedly not a free for all, though. It will refuse to make sexual deepfakes, or «intimate imagery,» and every output comes with a visible watermark — as well as a hidden one.
Now all we have to do is wait for the Internet to do its thing, there is already plenty of buzz on r/singularity today, and x.com is catching up.
Read more: Google’s launch post and developer page, writeups on TechCrunch, and 9to5Google
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