AI Hug
Create AI images and videos with leading models
What it does
AI Hug brings leading AI image and video models together in one browser-based studio. Generate from text prompts or reference images, switch between models such as GPT-Image, Midjourney, Seedance, and Kling, and move from visual ideas to shareable content without juggling separate tools. It supports text-to-image, image-to-image, text-to-video, and image-to-video workflows, with a free plan to get started.
AI Hug Video: Transform photos into heartwarming hug animations. Our deep nostalgia-inspired AI creates touching, animated memories.
Upload a photo of two people and AI Hug brings the embrace to life in seconds — plus a full AI studio for image and video generation. Every image below was generated with AI Hug. Hover to explore — pick a style and make it yours. Upload any image and turn it into a realistic video in seconds. Add natural motion, depth, and cinematic effects to bring your visuals to life — no editing needed, everything is handled automatically. A few words are all you need to create a complete video. Describe a scene and the motion, pick a model, and let AI Hug handle everything else — from first frame to final cut. Start with an image you already like and build on it instead of starting over. Change the…from aihug.pro
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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.
AI · 17d ago · simedw.com
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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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Launched alongside, August 2026
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Life & fun · 10d ago · louisabraham.github.io
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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.
AI · 17d ago · simedw.com