u/IRateBurritos

I've been working on a Lenia system (you can see a bit more on my profile) and want to upgrade to Flow Lenia. However, I'm a bit concerned about performance. My Lenia currently use the FFT/Convolution Theorem to compute their growth function. However, one of the main appeals of Flow Lenia for me is having evolving parameters that are different across the board and can change every frame. How do you optimize that? It seems like you couldn't even pre-compute the kernel, let alone cheat the calculation with the Convolution Theorem, and you'd end up computing tens of thousands of gaussians each frame. Any advice is much appreciated so I don't melt my poor laptop trying to run it.