Weβre excited to launch the new Prompt Gallery, a curated collection designed to help creators, developers, and AI artists get better results in text-to-image generation β faster and with less guesswork.
Whether you're exploring ideas, studying prompt engineering, or building your own image workflows, this gallery gives you instant access to high-quality prompts paired with their real generated outputs.
reacted to jasoncorkill's
post with πabout 2 months ago
Do you remember https://thispersondoesnotexist.com/ ? It was one of the first cases where the future of generative media really hit us. Humans are incredibly good at recognizing and analyzing faces, so they are a very good litmus test for any generative image model.
But none of the current benchmarks measure the ability of models to generate humans independently. So we built our own. We measure the models ability to generate a diverse set of human faces and using over 20'000 human annotations we ranked all of the major models on their ability to generate faces. Find the full ranking here: https://app.rapidata.ai/mri/benchmarks/68af24ae74482280b62f7596
π AutoXLA - Accelerating Large Models on TPU AutoXLA is an experimental library that automates the distribution, optimization, and quantization of large language models for TPUs using PyTorch/XLA. It extends the Hugging Face Transformers interface with TPU-aware features such as automatic sharding, custom attention kernels, and quantization-aware loading, making large-scale deployment and training both simpler and faster. With quantization and Splash Attention kernels, AutoXLA achieves up to 4Γ speedups over standard Flash Attention implementations, significantly improving throughput for both inference and training workloads. Whether youβre experimenting with distributed setups (FSDP, 2D, or 3D sharding) or optimizing memory via LanguageModelQuantizer, AutoXLA is built to make scaling LLMs on TPU seamless. β οΈ Note: This is an experimental repository. Expect rough edges! Please report bugs or unexpected behavior through GitHub issues. π GitHub Repository: https://github.com/Locutusque/AutoXLA
reacted to jandrewq's
post with πabout 2 months ago
π Miragic Virtual Try-On β Try Clothes Instantly with AI!
Say goodbye to changing rooms π and hello to instant outfit previews! Miragic Virtual Try-On lets users upload a photo and see themselves wearing any outfit β powered by advanced AI image generation and virtual try-on technology.
β¨ Key Highlights:
Realistic try-on results with natural body and fabric alignment
Supports multiple poses and clothing styles
Fast, private, and easy to integrate into fashion platforms
Perfect for fashion e-commerce, digital styling, and virtual fitting rooms.
We have launched the product - Virtual Try On π Say goodbye to the uncertainty of online shopping with Miragicβs Virtual Try-On solution! Our cutting-edge AI technology lets you try on clothes virtually, offering a seamless and interactive shopping experience. Whether you're exploring new outfits or simply trying before you buy, Miragic gives you a realistic view of how items will look on youβwithout ever stepping into a store.
π Key Features: - Realistic 3D Try-On: See how clothes fit and look on your virtual self in real-time. - Personalized Fit: Using advanced body-scanning tech, Miragic adjusts the fit based on your unique measurements. - Wide Fashion Selection: Browse through various brands and styles, all available for a virtual try-on. - Sustainable Shopping: Reduce the need for returns and make more eco-friendly choices with a virtual experience that helps you shop smarter.
π Why Virtual Try-On? - Save time and money while shopping smarter. - Discover new styles, fit options, and combinations in a way thatβs fast and fun. - Enjoy a unique, tech-driven shopping experience from the comfort of your home!
Join us today and transform the way you shop online with Virtual Try-On.
We have launched the product - Virtual Try On π Say goodbye to the uncertainty of online shopping with Miragicβs Virtual Try-On solution! Our cutting-edge AI technology lets you try on clothes virtually, offering a seamless and interactive shopping experience. Whether you're exploring new outfits or simply trying before you buy, Miragic gives you a realistic view of how items will look on youβwithout ever stepping into a store.
π Key Features: - Realistic 3D Try-On: See how clothes fit and look on your virtual self in real-time. - Personalized Fit: Using advanced body-scanning tech, Miragic adjusts the fit based on your unique measurements. - Wide Fashion Selection: Browse through various brands and styles, all available for a virtual try-on. - Sustainable Shopping: Reduce the need for returns and make more eco-friendly choices with a virtual experience that helps you shop smarter.
π Why Virtual Try-On? - Save time and money while shopping smarter. - Discover new styles, fit options, and combinations in a way thatβs fast and fun. - Enjoy a unique, tech-driven shopping experience from the comfort of your home!
Join us today and transform the way you shop online with Virtual Try-On.
Iβm excited to share our AI-powered Speed Painting technology with you. It allows artists, designers, and hobbyists to create stunning digital art in just seconds.