Txt2plotter – True centerline vectors from Flux.2 for pen plotters
I’ve been working on a project to bridge the gap between AI generation and my AxiDraw, and I think I finally have a workflow that avoids the usual headaches. If you’ve tried plotting AI-generated images, you probably know the struggle: generic tracing tools (like Potrace) trace the outline of a line, resulting in double-strokes that ruin the look and take twice as long to plot. What I tried previously: - Potrace / Inkscape Trace: Great for filled shapes, but results in "hollow" lines for line art. - Canny Edge Detection: Often too messy; it picks up noise and creates jittery paths. -…
Txt2plotter – True centerline vectors from Flux.2 for pen plotters launched on January 19, 2026 with 35 votes, #615 of 14,585 launches that month and more than 95% of that year's launches.
In plain words
Txt2plotter converts AI-generated images into clean vector files optimized for pen plotters like the AxiDraw. It addresses a common problem where standard tracing tools create double-stroked lines unsuitable for plotting. The tool uses Flux.2 to generate true centerline vectors instead of outlines, avoiding the messy results of edge detection or generic vectorization software. It's designed for makers and artists who want to plot AI-generated artwork without compromised line quality.
written from the facts on this page · September 2026
From the sources
Contribute to malvarezcastillo/txt2plotter development by creating an account on GitHub.
Convert text prompts to pen-plotter-ready SVG files using AI image generation and centerline vectorization. git clone https://github.com/malvarezcastillo/txt2plotter.git cd txt2plotter # Create virtual environment python3.10 -m venv .venv source .venv/bin/activate # Install dependencies pip install -e . # Configure API keys cp .env.example .env # Edit .env with your keys Usage # Basic usage (A3 size) python main.py " a geometric skull " # Custom dimensions (A4) python main.py " circuit board pattern " --width 297 --height 210 # Generate multiple variations python main.py " mountain landscape " -n 5 # Reproducible generation with seed python main.py " geometric pattern " --seed 42 # Generate…from github.com
In the maker’s words, at launch
I’ve been working on a project to bridge the gap between AI generation and my AxiDraw, and I think I finally have a workflow that avoids the usual headaches. If you’ve tried plotting AI-generated images, you probably know the struggle: generic tracing tools (like Potrace) trace the outline of a line, resulting in…
Does a similar job
all alternatives →- IMI made a WebGL-based app that traces images using circles2022 · phqb.github.io · ▲93
I was fascinated by this [0] and this video [1]. After many struggles, I finally built this app that traces images using circles similar to what these videos had shown. The most challenging part (to me) is to find a way to convert images to vector lines. I had tried Potrace, but its output is not suitable for my use case: too many small elements share the same border. Potrace's goal is to represent the original image faithfully using vector lines. But I want to trace the image edges. After searching and trying some Potrace alternatives in vain, I finally found my keyword. Surprisingly (to…
Tool that turns your images into plotter-like line drawings2021 · javier.xyz · ▲405Create plotter-like line drawings from your images.
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My Pen Plotting Journey2023 · adamfuhrer.com · ▲235Generative art coded in p5.js and pen plotted using an AxiDraw V3/A3.
Run TRELLIS.2 Image-to-3D generation natively on Apple SiliconApr 2026 · github.com · ▲202I ported Microsoft's TRELLIS.2 (4B parameter image-to-3D model) to run on Apple Silicon via PyTorch MPS. The original requires CUDA with flash_attn, nvdiffrast, and custom sparse convolution kernels: none of which work on Mac. I replaced the CUDA-specific ops with pure-PyTorch alternatives: a gather-scatter sparse 3D convolution, SDPA attention for sparse transformers, and a Python-based mesh extraction replacing CUDA hashmap operations. Total changes are a few hundred lines across 9 files. Generates ~400K vertex meshes from single photos in about 3.5 minutes on M4 Pro (24GB). Not as fast as…
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