Yeah, the trick is to make the generator smart about where it spends time. Instead of blindly recursing everywhere, set a perceptual error threshold—if the change in pixel value is below a certain delta, stop expanding that branch. That’s like an adaptive LOD but for fractals. You can also switch to a multi‑resolution grid: compute a coarse version first, then only refine cells that show high detail or edges. Another hack is stochastic sampling—drop some iterations randomly where the pattern stabilises, and compensate with noise smoothing. GPU shaders help because you can branch per fragment without a full CPU loop. In short, let the algorithm talk to the visual feedback loop and cut out the loops that nobody notices.