Meta scrapped a Muse Image feature days after launch following backlash over consent, privacy, and the use of public Instagram photos.
The post Meta Removes Muse Image Instagram Feature After Consent Backlash appeared first on TechRepublic.
Meta scrapped a Muse Image feature days after launch following backlash over consent, privacy, and the use of public Instagram photos.
The post Meta Removes Muse Image Instagram Feature After Consent Backlash appeared first on TechRepublic.
Getty is scrapping its $3.7 billion merger with Shutterstock after UK regulators required Shutterstock to sell its editorial business.
The post Getty Scraps $3.7B Shutterstock Merger After UK Curbs appeared first on TechRepublic.
There are plenty of AI image-generation models these days, but the ones capable of quality outputs tend to be slow and expensive. Google DeepMind says its new image model, known as Nano Banana 2 Lite, offers the best balance of quality and speed. It's available today across the Google ecosystem, creating images in a fraction of the time it takes Google's beefier models.
The new model is part of the Gemini 3.1 family—it's technically called Gemini 3.1 Flash Lite Image. On one hand, Google says this model is ideal for exploring ideas and "rapid-fire" prototyping, applications in which quality can take a backseat. However, the company has also provided some examples aimed at showing how close Nano Banana 2 Lite can get to the quality of its other image models.
A comparison of Nano Banana 2 Lite with the non-Lite version.
Credit:
Google
In addition to the examples, Google also has Elo scores from Arena.ai ready to go, showing that users rate Nano Banana 2 Lite outputs almost as highly as the non-Lite versions. However, vibemarking doesn't always focus on the details that can make AI images look silly upon closer inspection. Google notes that Nano Banana 2 Lite tends to have more trouble with text, particularly if it's very small, and infographics are more likely to include incorrect data. Characters and people may also show poor consistency across iterations.
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