p5 Paint Animation

SkillMedia

Turn a text prompt, a photo, or a live video clip into hand-made-looking p5.js animation — pencil handwriting that writes itself, photos repainted as brushstroke art with paint-on animation and camera moves, and short videos (iPhone Live Photos included) repainted frame-by-frame as a living painting. Trigger on: "handwritten text animation", "paint this photo", "painted video", "sketch effect", "turn my live photo into a painting", "write-on effect". Everything is 100% code: p5.brush strokes rendered headlessly, no image models.

Available today. Use it from your connected AI after setup.

Connect ahel once, and every AI you use reads what you have installed.

Then ask your AI: use the p5 Paint Animation skill

What this skill tells your AI

The instructions your AI receives, as published by heygen-com/hyperframes-community-skills in skills/p5-paint-animation/SKILL.md and read by ahel’s review.

Three flows, one engine. Pick by input:

InputFlowOutput
Text prompt / phraseA: Write-onHandwriting animates onto ruled paper, pen-tracked for camera
PhotoB: Repaint + paint-onBrushstroke painting, still or painting-itself film, camera pull
Video / Live PhotoC: Living paintingEvery frame repainted over a locked stroke lattice

When to use / when not

Use for: hand-made-looking motion — handwriting that writes itself, photos as brushstroke paintings (still or animating), short clips as living paintings. Do NOT use for: crisp typography or brand-accurate text (use real fonts), photoreal output, footage longer than ~10s (render cost scales per frame ≈ 5–20s each), or live/interactive pages (this renders offline MP4/PNG).

Requirements and side effects

  • Requires: Node 22.12+, ffmpeg on PATH, ~500MB disk (Chromium).
  • sh scripts/setup.sh (run manually, once) uses the committed lockfile to download pinned dependencies from the npm registry: puppeteer 25.9.0, p5 2.3.2 (LGPL-2.1), and p5.brush 2.2.1 (MIT). Puppeteer downloads its pinned Chrome for Testing build from Google's download service. Read-only downloads; no credentials, no cost, nothing uploaded.
  • Renders launch sandboxed headless Chromium on a blank page. Network and local file requests from sketches are blocked; sketches receive inputs as data URLs.
  • Writes only inside paths you pass (out.png / out.mp4, plus a sibling .track.json and, with --keep-frames 1, a _frames_* directory).
  • Optional, only for flow C subject matting: npx hyperframes remove-background (downloads the HyperFrames CLI from npm; local CoreML inference, no data leaves the machine).

Verify success

Render any command below, then open the output: the last frame must show the complete artwork (text fully written / painting fully covered), and re-running with the same --seed must produce identical bytes on the canvas. The smoke test used for review: node render-anim.mjs sketches/handwriting.anim.js /tmp/t.mp4 --size 1600x900 --seed 7 --inject 'PHRASE="go make something"'.

Setup (once)

sh scripts/setup.sh

Installs the exact dependency tree recorded in scripts/package-lock.json. All commands below run from scripts/.

Flow A — prompt → write-on animation

node render-anim.mjs sketches/handwriting.anim.js out.mp4 \
  --size 1600x900 --fps 24 --seed 7 --hold 12 \
  --inject 'PHRASE="your text here";SIZE=170'
  • Full alphabet: lowercase, caps, digits, ? . , - / @. Wraps automatically.
  • Dials via --inject: SIZE, INK (hex), BRUSH ("2B" pencil, "crayon", "charcoal"), PAPER=1 for blank paper.
  • The run writes out.track.json — per-frame pen position. For a camera-follows-pen move, crop each frame along the smoothed track (exponential follow, gain ~0.14, camera y LOCKED to the baseline — never follow the pen tip's y or the camera bounces on every ascender).
  • For scraggly/messy writing raise the per-letter jitter in the sketch; for word-sync to a voiceover, transcribe first and start each word's strokes at its spoken time.

Flow B — photo → painting (+ paint-on film + camera)

Still:

node render.mjs sketches/repaint.anim.js out.png \
  --size 720x900 --seed 3 --image photo.jpg --inject "STYLE=0;DETAIL=3"

Paint-on film (the painting paints itself, coarse-to-fine, painter-ordered — calm regions first, the face last):

node render-anim.mjs sketches/repaint.anim.js out.mp4 \
  --size 720x900 --seed 3 --image photo.jpg --fps 14 --hold 40 \
  --inject 'STYLE=0;DETAIL=3;SUBJECT="0.5,0.5,0.44,0.55"'
  • Crop to the subject first. Face size in frame is destiny: selfie-distance faces resolve beautifully; small faces stay figures. Portrait 4:5 or 9:16.
  • Dials: STYLE 0 pastel / 1 gouache / 2 charcoal-sketch. DETAIL 1 painterly, 2 faces resolve, 3 soft features (noses), 5 portrait-grade (adds a second fine lap). LOOSE 0.7–1.5 stroke wildness. SAT color compensation (~1.1).
  • SUBJECT="cx,cy,rx,ry" (image fractions) paints everything inside that ellipse through all passes FIRST and drops a subject-done frame marker. Camera pull-out recipe: hold tight on the subject, then at the marker frame ease wide with ffmpeg zoompan (cosine ease, ~2s): zoompan=z='if(lte(in,M),1.9,1.85-0.85*(0.5-0.5*cos(PI*min((in-M)/28,1))))' (upscale 2x lanczos first so the tight phase stays sharp).

Flow C — video / Live Photo → living painting

node render-video.mjs clip.mov out.mp4 \
  --size 720x900 --fps 12 --seed 7 --inject "STYLE=0;DETAIL=2"
  • The stroke lattice is built ONCE from frame 1 and locked; only colors and orientations resample per frame. Strokes hold still — the painting never "boils" while the subject moves.
  • Live Photos: get the paired .mov (share-sheet Options → Live Photo ON, or Photos.app → Export Unmodified Original). If it arrives as bare JPEG the motion was stripped in transit — ask for a 2–3s normal video instead; that's better input anyway.
  • Motion triage first. Live Photos include the phone swinging. Measure per-frame motion (ffprobe -f lavfi "movie=in.mov,signalstats" → YDIF), paint only the calm window with --start/--dur, and ping-pong the result (forward+reverse concat) for a seamless breathing loop.
  • Big camera motion? WORLD=1 tracks the camera by image correlation and lets strokes live in world coordinates — the camera pans across one growing painting. Translation-only; fast zooms drift.
  • Subject-only painting: matte frames first (npx hyperframes remove-background), pass the matted PNGs with --frames DIR and MASKED=1, and set BG to your paper color.
  • Dark footage: grade with gamma only (eq=gamma=1.2). Never boost saturation before painting — shadow chroma noise becomes literal teal paint.

QC gates (all flows)

  • Read the actual output frames; never ship on intent. Check: faces resolve, no bare-canvas gaps, first/mid/last frames coherent.
  • Same seed = identical render. Iterate one dial at a time against a fixed seed.
  • For anything joining a larger film, verify seams numerically per motion-doctrine — this skill produces material, not final grammar.

references/flows.md has full worked recipes; references/gotchas.md is the list of failure modes already hit so you don't hit them again.

Signals

GitHub stars
77
Forks
7
Last commit
Sep 2026
Advanced
Catalog kind
skill
Gateway key
p5-paint-animation
Source
github.com/heygen-com/hyperframes-community-skills