Pencil2Reality
Draw it. We'll make it real.
What it does
Transform your child's hand-drawn sketches into stunning photorealistic, cartoon, fantasy, or comic-book images — powered by AI. Free to try.
Transform your child's hand-drawn sketches into stunning AI-generated images in seconds — photorealistic, cartoon, fantasy, comic book, or bricks style. Real screens, real transformations — straight from Pencil2Reality. From crayon sketch to AI masterpiece — no technical knowledge needed. Your child draws anything they can imagine — a dragon, a spaceship, a family portrait, or a fantasy world. Take a photo with your camera or pick an image from your gallery. Pencil2Reality handles the rest. Pick from Photorealistic, Cartoon, Fantasy, Comic Book, or Bricks. Tap generate and watch the magic happen in seconds. Choose how you want the drawing transformed. Each style produces a completely…from pencil2reality.app
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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.
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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.
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