Vectorstyler forum

@Subpath I will add this to the features backlog.

@Li-Xiao I will try to add these.

@Li-Xiao I will try to fix this

@Li-Xiao I will try to fix this

@Li-Xiao These are bugs, I will try to fix them

@Boldline I added this to the features backlog, I will try to improve these smoothing operations in the future

@Boldline Added to the feature backlog, but maybe after 1.4

@Li-Xiao This seems to be a bug

I uploaded a fix for a bug, and the version is now 1.3.027

@VectorStyler After experimenting a bit with the region option for color sampling, I have to say that it doesn't really convince me at the moment. The results simply aren't that predictable. I find using "Along Path" in conjunction with a clipping path to be more predictable— even if you might have to cut out the desired part later on. Here a pic [image: 1789376180210-clipped-along-path-small-part.png] . . . As for color sampling, as it is by now i find "Paragraphic" more useful and easier to work with. It would be great to see improvements in this area in future versions of Vectorstyler, as this method offers interesting possibilities for coloring vector object designs and serves as a nice way to create compelling color palettes.

@Boldline I posted a request for something like this a while back. I looked for alternatives on macOS and found a few. While they aren't dedicated solutions, they offer quite extensive capabilities. The first one is Kando—a free app—and the second is Cirmenu, available on the App Store. There are quite a few apps of this type, but many rely on a subscription model, which isn't really my thing. Check them out; perhaps one of them will meet your expectations.

@VectorStyler Just a test to see whether it can handle very large documents. Mine had 12K nodes, and the programme became slow and unstable. I discovered subsequently that switching from GPU to Software in the performance preferences helped, and especially turning on the options for, in my case, 24 threads. The biggest improvement then came from rendering layers as image, a setting that did not have an impact when the performance setting was set to GPU.