Posts

Multi-PNG center scan morph

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Multi-PNG Center Scan Morph Multi-PNG Morph Choose 2–12 transparent PNGs. Drag thumbnails to set the morph order. + Choose PNG Images No PNGs selected yet Morph time 1.20 s Pause at each image 0.70 s Playback / export FPS 24 Center-scan rays 420 Video resolution 360 × 640 — fast 540 × 960 — recommended 720 × 1280 — heavy Background Color mode Blend image colors Keep source image colors Ending Stop on final image Morph final image back to first Process Morphs Play Stop Download Video Choose PNG images to begin. 0 / 0 The preview and downloaded video use the same processed frame sequence.

XY Path Animator

Single Canvas XY Path Animator Single Canvas XY Animator Draw in the upper square and left square. The upper point controls X and the left point controls Y. Their dotted guides stay perfectly vertical and horizontal as they meet inside the colorful output square. Top path forward time: 8.0 s Side speed multiple: 2.00× Output trail width: 4 px ▶ Play Pause Reset animation Clear color trail TOP DRAWING — controls X SIDE DRAWING — controls Y COLOR XY OUTPUT Undo Clear Undo Clear Draw at least one stroke in both input zones, then press Play .

Code of "Adaptive Continuous Hilbert Image Maker"

See the code below run on a page Someone on a site asked if code for the "adaptive continuous Hilbert Image Maker" was FOSS. And since I got ChatGPT to code the whole thing through vibe coding, I think it is FOSS. Either way I am sharing it because it's was asked. Code below: Adaptive Continuous Hilbert Image Maker Adaptive Continuous Hilbert Image Maker One recursive Hilbert path covers the whole square. Bright regions use large Hilbert cells, while dark regions recursively split into smaller Hilbert cells. Choose an image The source is center-cropped to a square. Line width 1.4 px Light-area detail 4 Sets the coarsest Hilbert structure visible in bright areas. Dark-area detail 9 Higher values add much finer Hilbert turns in dark regions. Darkness response ...

Loonie Scratch Reveal

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I did this javascript/html that I prompted ChatGPT to build for me. I took two photos: 1 of the clean coin, and one of a dull dirty coin. I wanted the mouse to act like the scratch and win ticket where it erases the top image (the dirty one) and reveal the clean one on the bottom. They don't have to be images of coins by the way. I just used it for my coin images. Here I'll share my coin images I used too (just download them and then choose them for the below program to run as a sample so you can see). Rubbed/Clean Coin Image on imgur.com Unrubbed/Dull and Dirty Coin Image on imgur.com Loonie Scratch Reveal Loonie Scratch Reveal Upload the clean loonie first and the dirty loonie second. Hold the left mouse button and drag over the image to rub away the dirty version. Clean loonie underneath Dirty loonie on top Brush size: 55 px   ...

Each View Reprograms the Matrix: How Wild Is This Idea, Really?

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Each View Reprograms the Matrix: How Wild Is This Idea, Really? On a Times Square Short, the Amitabha mantra, and the theory that attention is a construction tool. There's a YouTube Short making a quiet claim under a very loud title: Each view helps reprogram the matrix . The visual is Times Square, drenched in neon and, in the still frame, washed in an eerie green overlay with ghost-silhouettes drifting between the skyscrapers. Layered over it: the Amitabha mantra, revealed piece by piece, chant-like, until the full text sits on screen. The stated theory, from the creator's own description: Each view plants a seed in our thoughts. Enough thought signals make the thought stronger in the collective consciousness (ocean of thoughts). And strong enough signals influence reality.   So, on a scale from "harmless meditation aid" to "you've cracked physics wide open," where does this actually land? The idea, unpacked Strip away the aesthetic and there are three...