Google Enhances Gemini with New AI Image Model
Google has launched the Gemini 2.5 Flash Image, an upgraded AI image model designed to enhance the capabilities of its Gemini chatbot. This new model allows users to make precise edits to images using natural language requests, maintaining the consistency of details such as faces and animals.
The Gemini 2.5 Flash Image is available to all users through the Gemini app, as well as to developers via the Gemini API, Google AI Studio, and Vertex AI platforms. The model is priced at $0.039 per image, based on output tokens.
This update aims to provide users with greater creative control, enabling them to blend multiple images, maintain character consistency, and perform targeted transformations. Additionally, the model incorporates world knowledge to enhance its image generation and editing capabilities.
Google has implemented safeguards to limit the creation of inappropriate content and applies visual watermarks to AI-generated images to address concerns about deepfake imagery. The company continues to refine its AI models to balance user creativity with responsible use.
We hope you enjoyed this article
Consider subscribing to one of our newsletters like Daily AI Brief.
Also, consider following us on social media:
Daily AI Brief
Daily report covering major AI developments and industry news, with both top stories and complete market updates
Whitepaper
Tensordyne Napier: What If One Rack Could Do the Work of Nine?
Tensordyne
This Tensordyne whitepaper presents Napier, an inference-focused AI processor and rack-scale system based on the company’s TDN Math logarithmic number system. It examines infrastructure requirements for large mixture-of-experts and agentic models, compares major inference architecture approaches, and details the TDN AIP processor, TDN72 pod, TDN Link fabric, and Napier Ultra configuration. The paper reports simulation-based performance, cost, and accuracy-validation results, including Tensordyne’s projected comparison of one Napier rack with a nine-rack Nvidia Rubin plus Groq deployment; the chip is reported as taped out and in fabrication.
Read moreYou may also like
Google Launches Gemini 4 Argon With 1 Million Token Context
Google Launches Gemini Enterprise Workplace AI Platform
Google Releases EmbeddingGemma 2 for Local Multimodal Search
Tech Mahindra Expands Gemini Enterprise Training to 12,500 Associates
Google Tests Gemini Calls for Pixel 11 Owners
Daily AI Brief: the AI news that matters, in your inbox.