FREE Open
OpenSora 2
What it does
★ 100% FREE & Open-Source ★ Create AI videos from text/images. 82% VBench score (0.69% gap vs Sora). No signup needed. Download now → 10,000+ developers trust OpenSora 2.
A refreshed brand experience: Welcome to OXVODO.com · Create your next AI video Meet the new OXVODO.com OpenSora 2 is the world's first FREE and open-source Sora 2 video generator. Unlike OpenAI Sora ($20-200/month), OpenSora 2 is 100% free forever . Generate videos from text or images with 82% VBench score quality. Our optional hosted generator includes starter credits, then charges for managed GPU generation—no setup required. Our mission is to democratize video production with an open-source AI model that creates realistic and imaginative videos from text or image inputs—transforming creative ideas into high-quality video content. Open Sora 2 combines text-to-video and image-to-video…from opensora2.com
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Hi HN, I built Eigendrum, a web tool that solves the 2D wave equation for arbitrary shapes so you can hear what they sound like as drums. How it works: * Solves -∇²u = λu using finite element analysis (Kφ = λMφ) on a triangle mesh. * Validated to <0.1% error against closed-form solutions for circles (Bessel zeros) and rectangles. * Sound model factors in strike location, Rayleigh damping, and mallet width. * Includes Kac drums I & II to demonstrate identical sound spectra from different geometries. * No frameworks, build steps, or dependencies. Repo and tests:…
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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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