Google presents MobileDiffusion Subsecond Text-to-Image Generation on Mobile Devices... paper page: MobileDiffusion achieves a remarkable sub-second inference speed for generating a 512 × 512 image on mobile devices, establishing a new state of the art.show more

Introducing SDXL Turbo: A real-time text-to-image generation model. SDXL... Turbo achieves state-of-the-art performance with a new distillation technology, enabling single-step image generation with unprecedented quality, reducing the required step count from 50 to just one. The code, research paper, and weights for non-commercial use are now available on our website. You can test SDXL Turbo on Stability AI’s image editing platform Clipdrop, with a beta demonstration of the real-time text-to-image generation capabilities. Learn more:show more

Nvidia presents ConsiStory Training-Free Consistent Text-to-Image Generation paper page:... enable Stable Diffusion XL (SDXL) to generate consistent subjects across a series of images, without additional training.show more

Introducing Nano Banana Pro (Gemini 3 Pro Image), our... new state-of-the-art image generation and editing model from Google DeepMind. It improves on the original model while adding new advanced capabilities, enhanced world knowledge and text rendering, allowing you to create and edit studio-quality, production-ready visuals.show more

The winner of Lovable's weekend competition: Kolbo ai -... A powerful tool to help make all sorts of social media content with AI Features of the winning app: - Supabase for backend - Project-based organization system - OpenAI for text & image generation - Anthropic for text generation - Google Gemini for text generation - Midjourney for image generation - for image generation - Text-to-speech - Speech-to-text - Stripe for payments - mu for music generation Built by Zohar Vanunu 👇show more

Ideogram AI presents Ideogram 1.0 text-to-image model offers state-of-the-art... text rendering, unprecedented photorealism, exceptional prompt adherence, and a new feature called Magic Prompt to help with promptingshow more

VideoRF: Rendering Dynamic Radiance Fields as 2D Feature Video... Streams paper page: Neural Radiance Fields (NeRFs) excel in photorealistically rendering static scenes. However, rendering dynamic, long-duration radiance fields on ubiquitous devices remains challenging, due to data storage and computational constraints. In this paper, we introduce VideoRF, the first approach to enable real-time streaming and rendering of dynamic radiance fields on mobile platforms. At the core is a serialized 2D feature image stream representing the 4D radiance field all in one. We introduce a tailored training scheme directly applied to this 2D domain to impose the temporal and spatial redundancy of the feature image stream. By leveraging the redundancy, we show that the feature image stream can be efficiently compressed by 2D video codecs, which allows us to exploit video hardware accelerators to achieve real-time decoding. On the other hand, based on the feature image stream, we propose a novel rendering pipeline for VideoRF, which has specialized space mappings to query radiance properties efficiently. Paired with a deferred shading model, VideoRF has the capability of real-time rendering on mobile devices thanks to its efficiency. We have developed a real-time interactive player that enables online streaming and rendering of dynamic scenes, offering a seamless and immersive free-viewpoint experience across a range of devices, from desktops to mobile phones.show more

Going to #CVPR2023 ? Checkout our tutorial on Efficient... Neural Networks: From Algorithm Design to Practical Mobile Deployment. We’ll do a deep dive into mobile transformers, mobile neural rendering and SnapFusion--the fastest mobile text-to-image model. Our content in 32 secondsshow more

How to Use Automator on Google Flow for Image... Generation — New 2026 Update. 🔥 A step-by-step guide on setting up automated image generation workflows smoothly and efficiently on Google Flow. RT if you gained value. 🚀show more

We’re nearing the launch of the Dot mobile app.... This is an important expansion of the platform, bringing the same private inference infrastructure and model access currently available directly to mobile. The app will provide access to the core Dot ecosystem from a single mobile interface, including DotChat, model selection, image generation, video generation and other important platform capabilities. Mobile also gives us a significantly larger distribution surface and a more practical way for users to access Dot throughout the day. This means more accessibility, more usage and another major channel for inference demand. The same Dot platform, coming to your App Store/Google Play soon.show more

Introducing ´image-taste-mobile´, our first image skill for mobile apps.... ChatGPT Images 2.0 is really good at generating UI screens. A lot of people asked for mobile skills so here it is. Generate clean mobile app screens and give them to your agent to turn them into code right away. Just add the skill file to Codex or ChatGPT.show more

MatrixGPT - The state-of-the-art Text to Image AI app... 💎An all-in-one #AI solution offering a suite of innovative apps including Text-to-image, Image-to-image, Text-to-speech & Talking face. Let's create art and earn with #MatrixGPT! JOIN US NOW!👉 $MAIshow more

GoogleAI just released "Muse", a text-to-image generation/editing model via... Masked Generative Transformers: - Achieves new SOTA - Zero-shot, Mask-free editing - Zero-shot Inpainting/Outpainting - 900M params 📄 Paper: ⚙️ Project:show more

T2I-CompBench: A Comprehensive Benchmark for Open-world Compositional Text-to-image Generation... paper page: Despite the stunning ability to generate high-quality images by recent text-to-image models, current approaches often struggle to effectively compose objects with different attributes and relationships into a complex and coherent scene. We propose T2I-CompBench, a comprehensive benchmark for open-world compositional text-to-image generation, consisting of 6,000 compositional text prompts from 3 categories (attribute binding, object relationships, and complex compositions) and 6 sub-categories (color binding, shape binding, texture binding, spatial relationships, non-spatial relationships, and complex compositions). We further propose several evaluation metrics specifically designed to evaluate compositional text-to-image generation. We introduce a new approach, Generative mOdel fine-tuning with Reward-driven Sample selection (GORS), to boost the compositional text-to-image generation abilities of pretrained text-to-image models. Extensive experiments and evaluations are conducted to benchmark previous methods on T2I-CompBench, and to validate the effectiveness of our proposed evaluation metrics and GORS approach.show more

Here is Hugo Feiler talking about Minima and running... a full node on mobile devices, and the vision for chipsshow more

Introducing Image to App. Turn any image into a... native mobile app. Just paste an image. Claude Code Opus 4.6 will design, code, deploy and translate a mobile app inspired by original design. We’ve used this internally a lot for consumer apps on iOS/Android.show more

Designing an Encoder for Fast Personalization of Text-to-Image Models... TL;DR: use an encoder to personalize a text-to-image model to new concepts with a single image and 5-15 tuning steps abs: project page:show more

That's how JioGames made it possible for mobile devices... users to play #Cricket26 on the go... 🥂A very honest review from the fans ...show more

Guild Wars Reforged hits mobile devices this summer with... a new, mobile‑optimized UI and controls. Preregister to get notified at launch. Already playing with an ArenaNet account? You'll be able to log in on mobile and play cross‑platform.show more

Introducing StyleDrop, a model that allows a significantly higher... level of stylized text-to-image synthesis by using a few style reference images that describe the style for text-to-image generation, bypassing the burden of text prompt engineering. More→show more