@superalesha: Your coding agent can make animations like this now. I released the skill for drawing them in JavaScript, with 4 visual…
Summary
The author released a JavaScript skill for coding agents to create hand-drawn style animations with four visual styles, available on GitHub with examples and rendering tools.
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Your coding agent can make animations like this now. I released the skill for drawing them in JavaScript, with 4 visual styles and examples to start from. This 1,5 minute film was made using it. Pick a subject and try it: https://github.com/alesha-pro/tools/tree/main/skills/hand-drawn-canvas-animation…
alesha-pro/tools
Source: https://github.com/alesha-pro/tools
tools
Things I build while running models on my own hardware, cleaned up enough for other people to use.
Sections
Every section stands on its own, with its own installer and its own docs. There is no shared setup to get through first.
minimax-h3
Video with sound, generated at home. MiniMax H3 writes the picture and the synchronized audio in one pass, so voice, effects and music come out of the same generation as the frames. Open weights.
Thirteen ComfyUI workflows in two sets. One set runs on any single 24 GB card. The other puts every card in a multi-GPU box to work and hits 3.12x on four cards, taking a 15-second shot from 19 minutes of sampling down to 6:41.
Ships with the custom nodes, the patch that makes the turbo LoRA actually load, and a three-command installer.
cd minimax-h3 && ./install/setup.sh check
skills
Agent skills that stand on their own.
hand-drawn-canvas-animation makes short films that look hand-drawn or hand-printed, with every frame drawn by JavaScript on a plain Canvas 2D. One HTML file on a shared core, no images and no video model. Four looks from one palette system: ink on warm paper, riso halftone prints, flat screen prints and graphite minimalism, each re-colourable in one line. It ships the core, a template, two worked films, a renderer that turns a file into an mp4 and a contact sheet, and the rules an agent needs to keep a look consistent.
cp -r skills/hand-drawn-canvas-animation ~/.agents/skills/
More lands here as I clean it up.
The rig everything is measured on
4x RTX 3090, 96 GB VRAM total, PCIe 3.0 x16, no NVLink, 320 W per card. Ubuntu.
Numbers in these READMEs come from real runs on that machine, not from datasheets. Your absolute times will differ, the ratios usually hold.
There is one thing worth checking on your own box before anything else. Cards ship at whatever power limit the vendor set, and it is often well under the default. Mine were at 220 W against a 350 W default, and raising them to 320 took an identical run from 220 seconds down to 170.
nvidia-smi --query-gpu=name,power.limit,power.default_limit --format=csv
I post the benchmarks behind all of this. Local inference on 4x RTX 3090, open-weights models, argv and raw logs attached.
MIT. Take it, change it, ship it.
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