AI Enhancer
Enhance and restore images with AI
What it does
AI Enhancer is an AI-powered image enhancement tool that helps you improve blurry, low-resolution, and old images in just a few clicks. It can enhance image details, sharpen faces and objects, and restore visual quality without requiring complex editing skills. Built for anyone who wants a simple way to make their images clearer and more usable.
AIEnhancer is an AI enhancer for photos, images and videos. Create, transform and refine visual content with leading models, guided controls and one connected…
Create, transform and refine visual content with AI photo enhancer effects, AI image enhancer workflows and AI video enhancer tools in one connected workspace. Upload a still, describe the motion and turn it into a cinematic clip with natural camera movement, subject consistency and polished visual depth — without opening a separate editing timeline. Start with a few words and turn the idea into a complete video. AIEnhancer keeps the important creative controls visible, validates every setting and routes the job to a production-tested model that supports the result you chose. Start with a proven Effect, add your reference and create a recognizable format without rebuilding the workflow from…from aienhancer.co
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Hey HN, Henry from Cactus here! We previously released Cactus Needle, a 14MB agentic LLM for tool call, device use, and structured extraction for phones, wearables, smart homes, small robots and microcontrollers. We got really great feedback here, and have now incorporated the suggestions to release Needle 2. The whole model is a single 14MB binary that runs a full session in 28MB of RAM; 45m parameters at 2bit compression. Needle hits 500 tokens/sec decode speed on a Raspberry Pi 5, sits between 400-1,500 tokens/sec on VR devices like Meta Quest 3S and Apple Vision Pro, and ranges…
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Life & fun · 10d ago · louisabraham.github.io


- SA
Hello HN! I found that picking out plausible but diverse skin tones for my digital art and game development projects was kind of difficult, and I got curious about if there was a way to define a color space that made it easy. I've built a color picker and procedural generation algorithm based on the space as well as a bunch of other fun js features and demos throughout the page that use the equations. If you find it interesting, I have lots of explanations of how I built it and what properties the space has. The methodology might be a bit shaky, but hopefully the result is as helpful for…
Life & fun · Aug 2026 · toneyalexander.github.io


I trained a 125M-parameter transformer to autocomplete piano performances in real time (~108 notes/sec on an iPhone 15). The idea is basically GitHub Copilot or Tabnine, except instead of prompting it with code, you prompt it by playing a few notes on a MIDI piano. The model then continues what you played, entirely on-device. The app is free if anyone wants to try it. Happy to answer questions about the model, training, Core ML, or the many things that didn't work.
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