Arteza
One studio for AI image, video, voice, music and avatars
What it does
AI creative work dies in the handoff. You make an image in one tool, animate it in another, write the voiceover in a third, and by then the face has changed. Arteza puts it in one place. Six studios for image, video, voice, music, avatars and editing. 111 one-click apps. 22 tools. 30+ models including Seedream 5.0 Pro, Veo 3.1 and Seedance 2.0 in 4K. Tell Arto what you want and it picks the model and runs it. Or start from a Look and one click loads the recipe. Free to start. 31 languages.
Create stunning AI images, cinematic videos, voiceovers, music, and more. 100+ models including FLUX, Seedream, Kling, Veo, ElevenLabs. Start free with 10 credits.
Get 3-day unlimited access to Seedance 2.5 + more up to 25% off A credit-based AI creative suite for generating and editing image, video, avatar, and audio, all from one prompt. Direct the newest flagship models from one studio, from a single prompt. Editorial-grade stills with dense text and multi-subject control. Precise edits and character-consistent scenes from one instruction. Flagship video generation with sound, physics, and cinematic camera work. Selected premium models run unlimited on eligible plans. Create as much as you want, no per-generation cost. Every studio, prompt, and result works natively in your language, right-to-left scripts included. The whole platform, localized,…from arteza.ai
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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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