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AppWizard
September 8, 2025
Google has reintroduced the Androidify app, allowing users to create personalized Android Bot avatars. The app is available for download on the Google Play Store and features AI capabilities that transform a photo or text prompt into a unique avatar. Users can select a photo, capture a new image, or enter a text prompt, and then choose a color for their Android Bot. After tapping "Transform," the AI generates the avatar, which can be customized further and shared. Users can download their creations or share them with friends.
AppWizard
September 3, 2025
Google has reintroduced the Androidify app, enhanced with AI to create personalized Android Bot avatars using user photos or text prompts. The app utilizes Google’s Gemini 2.5 Flash and Imagen AI models for tailored avatar creation. Originally launched in 2011, it was removed from the Play Store in 2020 and announced for revival at Google I/O earlier this year. Users can create a custom Android Bot by uploading a photo or entering a text prompt, with an option for AI-generated suggestions. The app analyzes images and validates text prompts to generate avatars that reflect user likeness while adhering to brand safety protocols. Users can further customize their Bots with various backgrounds and formats, and the app is available for free on the Google Play Store and web. Additionally, users can create an 8-second video of their Bot every Friday. The app employs modern development tools and its source code is available on GitHub.
AppWizard
September 3, 2025
Google unveiled Androidify, a platform that allows users to create personalized Android bots from selfies or text prompts using advanced AI models, including the "Nano-Banana" image generator from Gemini. The service captures general features and accessories without replicating users' faces. Androidify uses Gemini 2.5 Flash to validate selfies and employs a tailored version of Imagen 3 for generating custom avatars. Users can also create backgrounds for their bots with Nano-Banana and animate their creations using Veo 3, producing 8-second videos weekly.
AppWizard
August 7, 2025
Genie 3, developed by Google DeepMind, allows users to create interactive 3D environments using brief text prompts. It enables exploration and manipulation of these virtual scenes for a limited time, maintaining stability and coherence for over a minute, unlike its predecessors, Genie 1 and 2. Genie 3 can respond instantly to new commands, allowing real-time changes without reloading. Currently, it is in research preview and accessible only to select academics and creators. The system has limitations, including basic interaction mechanics and challenges with multiple agents and accurate real-world replicas.
AppWizard
June 25, 2025
Google has introduced the Pixel Studio app for the Pixel 9 series, allowing users to access custom AI-generated images and stickers. The custom AI stickers feature was launched with the June 2025 Pixel Feature Drop and is exclusive to the Google Pixel 9 series, including the Pixel 9, Pixel 9a, Pixel 9 Pro, Pixel 9 Pro XL, and Pixel 9 Pro Fold. This functionality is available for devices set to English, Japanese, or German. Users must update to Android 16 and may need to update Gboard and Pixel Studio via the Google Play Store to access the feature. To create custom AI stickers, users can open the keyboard in any app, tap the emoji symbol, press the AI sticker button, and follow the prompts to generate and save their stickers. Custom AI stickers cannot depict anything resembling a person. The base-model Google Pixel 9 supports the latest AI innovations, including custom AI stickers.
Winsage
December 26, 2024
Copilot+ PCs are the first personal computers to run Small Language Models (SLM) directly on-device, allowing for quicker interactions without relying on the cloud. Microsoft has introduced the AI Dev Gallery, which offers over 25 samples for developers to integrate on-device AI features into applications on Windows 10 and 11. The gallery requires building the project in Visual Studio, needing at least 20GB of storage and a multi-core CPU. A GPU with 8GB VRAM is recommended for heavier models but not mandatory for lighter applications. The app has two operational modes: Sample and Models. Testing models for image generation typically requires around 5GB of bandwidth, while a smaller image upscaling model under 100MB was successfully tested, completing the process in under 30 seconds with peak RAM usage of 1GB. The resulting image resolution was 9272x4900, but clarity issues were noted, especially with text. The application lacks features for previewing images in larger formats or downloading outputs directly. A model named Detect Human Pose was able to identify positions within images, including desktop screenshots. Substantial storage and robust CPUs are necessary for effective model accommodation, and the practicality of downloading large models for niche use cases is questioned.
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