JS Paint is a pixel-perfect remake of Microsoft Paint that runs in the browser.
Open source under the permissive
MIT License.
Request features and report bugs on
GitHub
or .
Try me!
Read about the project and extra features on the readme.
Support the project at paypal.me/IsaiahOdhner.
JS Paint is also included in a web-based version of Windows 98,
along with Notepad, Minesweeper, Sound Recorder, Calculator, and Winamp.
For a more native experience, you can install the JS Paint desktop app. It works on Windows, macOS, and Linux.
Features:
Alternatively, you can install JS Paint as a PWA (Progressive Web App), but this does not yet support offline use (as it doesn't include a Service Worker). It's more like a bookmark (for now), except it runs in a special window.
The user interface for installing PWAs differs by browser and operating system.
On most desktop browsers, the install prompt is in the URL bar.
On mobile, the install prompt is generally found in the menu of browser options.
See
Installing PWAs for visual guidance.
Invisible forensic watermark & provenance
Facehack v2 is not the end of facial recognition, but it marks the end of its era of innocence. We are entering an arms race where detection algorithms must become as intelligent as the generation algorithms trying to fool them. facehack v2
Multi-modal conditioning generator
Use specific phrasing like "Keep my face 100% the same as the reference image" to lock the facial geometry. Invisible forensic watermark & provenance Facehack v2 is
I need to make sure the essay isn't biased. Present both sides, discuss the pros and cons. Also, mention the importance of regulations and ethical guidelines. Maybe include examples like Apple's Face ID but note the differences in terms of privacy. Perhaps mention the controversy around technologies like Clearview AI for scraping user photos from social media. That could illustrate the privacy concerns. I need to make sure the essay isn't biased
If you are referring to the series, these events focus on developing innovative facial recognition technology for educational and security purposes. A proper guide for participating in such technical challenges typically involves: Environment Setup : Install Python (typically 3.8+). Set up computer vision libraries like OpenCV or Dlib. API Integration :
The original deepfake technology was a blunt instrument. It required vast datasets, hours of rendering time, and the final product was often betrayed by a glitch in the eye or a stutter in the lighting. FaceHack v2 is different. It operates in real-time, leveraging quantum neural networks and on-device holographic projection. With a single frame of a target’s social media photo—perhaps a vacation shot from five years ago—v2 can map, mimic, and overlay any expression onto any face with a latency of under three milliseconds. More terrifyingly, it does not just change how a camera sees you; it changes how people see you. In a crowded square, a user wearing a v2 emitter can look like your boss, your spouse, or a firefighter telling you to evacuate.
Check out my home page for more projects!
Please don't feed Junkbot.
Feel free to copy these to your site! Some of them are rubbish, but a few of them I'm quite happy with.
Right click on the image and select "Save image as..." to download it,
then copy and paste the HTML code below it into your site,
and update the src attribute to point to where you're hosting the image.
I don't know where most of these came from, and I've repurposed some of them.
