I had a try and did not get what I am looking for so far. I tried to plug the DLA formula in the coloring slot of a pixel fractal formula in a trapshape block for trap shape or trap texture parameters of the main MMF orbit trap gradient wrapper, but it seems that the "pixel-based" nature of DLA is a too strong constraint to really combine it with other shapes and textures.
The best I could do so far is an image with traditional trap shapes, and the DLA as a 2D texture to color the trap shapes. But I would like to have 3D slope+lighting texture "inside" the DLA cracks : does that sound feasible?
I need to write a more general version for that sort of use.
Not sure what you mean by slope+lighting here, but the formula can be used in direct mode like this:
quickdla {
::9mC86gn2l2ZXzttNaU47zM5/gGdfcwBkgEod4F720u3sptT7PgMMSU2cCFpqEVq9+rfBpkzH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}