
Sistema visivo
Pop music video with a halftone portrait overlay
Canvas, AI image · 16:9 · 5:06
di anabology

<inputs> Ask me for: the product name and a one-line promise, 3 to 5 UI moments to show, one accent color, 10 to 20 real vertical clips I own, and a royalty-free song with a clear drop (e.g. Mixkit, free for commercial use). </inputs> <direction> High-end minimal. One idea per shot, lots of empty space, one accent color, one clean sans (Geist or Inter) with tight tracking. Masked type reveals, match cuts, one smooth camera language. Real footage only, never placeholder cards. No full stops in on-screen text. Banned: shockwave rings, particle bursts, RGB split, camera shake, lens flares, neon glows, grid floors, flashing backgrounds, bouncy easing. </direction> <structure> 10 bars at 120 BPM, 2 seconds each. Bar 1: the hook lands word by word on the beats. Bar 2: one hook word morphs into the product UI. A cursor types and clicks. The drop: a circle opens out of the button into a dark scene. Then one move per bar: a wall of real clips with a scan line and 3 winners, the key output as big type, a 3D carousel of real videos with floor reflections and a motion-blurred whip onto one hero clip, the hero in a phone next to a panel that flips into results, big stats on push cuts, a 3-word ticker, a logo reveal, a fade to black. </structure> <build> 1. One HTML file at 1920x1080. Every style is computed from time inside window.seek(t): no CSS animations, no timers, no state between frames. 2. Real video: extract clips to 30fps JPEG sequences with ffmpeg and swap img sources per frame. seek awaits the image decodes. 3. Analyze the song with numpy: tempo, beat grid, energy per bar, the drop. Calibrate the grid to the real kick hits. Every cut sits on a downbeat, every UI hit on a beat. 4. Render with Playwright: 3 subframes per frame at t minus, at, and plus 1/240s, then blend with ffmpeg tmix for real motion blur at 60fps. 5. Place each sound effect so its measured peak, not its file start, lands on the event. Keep the effects quiet under the music. Loudnorm to -14 LUFS. 6. Probe 20 or more frames before the full render. Fix anything cluttered, overlapping or hard to read. </build> <gotchas> Never set opacity or filter on a preserve-3d element, because it flattens and both faces show. Fade its wrapper instead. Measure element positions at runtime for match cuts. Only use music and sound effects whose license allows commercial use. </gotchas> <start> Ask me for the inputs, then show me a storyboard with every timing on the beat grid before you write any code. </start>

Sistema visivo
Canvas, AI image · 16:9 · 5:06
di anabology
Sistema visivo
Claude Opus 5.5, JavaScript · 16:9 · 2:22
di donaldjewkes
Un unico saldo di crediti per video AI e immagini AI. Abbonati al mese o all’anno, oppure acquista una volta un pacchetto di crediti.
Paga una volta · niente abbonamento
Video per pacchetto
Paga una volta · niente abbonamento
Video per pacchetto
Paga una volta · niente abbonamento
Video per pacchetto
Fatturazione mensile
Video al mese
Fatturazione mensile
Video al mese
Fatturazione mensile
Video al mese
Fatturazione annuale · 240 USD → 192 USD/anno
Video al mese
Fatturazione annuale · 600 USD → 480 USD/anno
Video al mese
Fatturazione annuale · 1200 USD → 960 USD/anno
Video al mese
Videos use credits when you export, and starting one needs a balance that covers its export. Counts assume a 30-second product demo and a 60-second explainer with narration and 3 illustrations.
Come è stato realizzato Product Hunt launch loop replays buyer questions put to ChatGPT, cosa dice il prompt e come creare un video Sistema visivo simile con Potto.
Product Hunt launch loop replays buyer questions put to ChatGPT è un video di motion graphics Sistema visivo di RaphaelAubryy. A looping motion graphic showing buyer questions put to ChatGPT for a Product Hunt launch.
Product Hunt launch loop replays buyer questions put to ChatGPT è stato realizzato con HTML e FFmpeg. Fa parte della raccolta Sistema visivo di video di motion graphics AI su Potto.
Sì. Il prompt completo di Product Hunt launch loop replays buyer questions put to ChatGPT è in questa pagina. Copialo, oppure fai clic su Usa questo prompt per aprirlo nell’area di lavoro di Potto.
Product Hunt launch loop replays buyer questions put to ChatGPT dura 0:20 in un formato 16:9.
Sì. Fai clic su Usa questo prompt per caricare il prompt di Product Hunt launch loop replays buyer questions put to ChatGPT nell’area di lavoro di Potto. Potto ne esegue il rendering in una versione propria, e puoi cambiare testo e stile prima di esportare.
Product Hunt launch loop replays buyer questions put to ChatGPT è stato pubblicato per la prima volta dal suo creatore. Fai clic su Vedi l’originale per aprire quel post in una nuova scheda.
Sfoglia la raccolta Sistema visivo su Potto: 480 video, ognuno con prompt, specifiche e fonte.