Input image is important too. When working with the generalist LLM on the raster art, give it context that you are making a logo, direct it to use strokes and fills and minimal color palette, readable at small sizes, etc.
You can instruct it to make edits, or say "Use SVG gradients for the windows" and so on and you can further iterate on the SVG.
It can be frustrating at times, but the end result was worth it for me.
Though for some images I've done 2-3 roundtrips manual editing, Nano Banana, svgai.org ...
The advantage is that it produces sane output paths that I can edit easily for final manual touches in Inkscape.
Some of the other "AI" tools are often just simply algorithms for bitmap->vector and the paths/curves they produce are harder to work with, and also give a specific feel to the vector art..
I can share the code if there's interest.
A dedicated or fine tuned model for just SVGs would be pretty wild.
Before stumbling upon this tool, I've spent a lot of time tweaking SVP paths in "mostly manual" files in other projects, it's a recurring theme for me. I was delegating the more interesting paths to Inkscape or similar, but keeping the basic structure handwritten. This tool would have made my life so much easier!
albeit, it is heavy tool that comes with lots of feats.
https://github.com/timonoko/laser-cutting-contoursSave the file and run it at will, just like any other local app.
The app runs in an interpreter which is a browser instead of python and a load of libraries, which is no distinction at all.
Well and I can eat the cake as well, make it some native app that has proper performance.
This is open source, so whether or not it's a web app should make no difference here
It just uses a browser as the interpreter environment and super effortless one-click instantaneous install process.
PS: This submission of mine is at least a day old, but it now shows as posted about 3 hours ago; I presume this is because it is from the second-chance pool.