Picsart AI Playground for Desktop
150+ AI models, now native on Mac and Windows.
What it does
AI Playground is now a native desktop app for Mac and Windows. The same 150+ image, video, and audio models you already use, now living on your machine. ▶ Skip the upload: browse your desktop folders directly, no upload step needed. ▶ Save your cloud space: outputs save locally, ready to use and share. ▶ Multitask freely: run multiple generations in the background while you keep working, no browser tab required.
Picsart AI Playground desktop app: faster than browser, runs AI locally, edits video in place. Download free for Mac & Windows.
From install to your first export, everything happens right inside the app. Grab AI Playground for Mac or Windows and install it in a couple of clicks. Open the app and sign in with your Picsart account - your projects and plan come with you. Generate images, video, and more with the full model catalog, now at native desktop speed. Use the built-in video editing tools and screen recorder to finish your work, then drag it straight to your local folders. The desktop app runs as a real app, noticeably faster than the browser, and brings AI processing on-device with a local LLM. Less waiting on round-trips, more of your work staying on your own machine. Go from generation to finished clip…from picsart.com
Does the same job
all alternatives →
More ai this month
the category →
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
Astute▲585Automate your B2B brand going viral, with new media creators
AI · 18d ago · company-app.joinastute.com
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…
AI · 26d ago · cactuscompute.com
Launched alongside, August 2026
the whole month →- TL
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.
AI · 17d ago · simedw.com