August 23, 2008
This is a quick tutorial on Apophysis 2.08 linked transforms.
Adding linked transform is an option you get when right clicking inside the xaos tab. The curious thing is that it doesn’t actually do anything. What I mean is that it just saves you a lot of clicks to build a common use case of xaos, nothing more.
Creating a linked transform basically splits your existing transform in two: the original turns invisible and is routed 100% towards the new one, which in turn is routed to the rest of the flame the same way the old one was (with a 0 towards itself). The new transform is only accessible through the old one, not from anywhere else in the flame. It also has a symmetry of 1, so that color is not affected.
This means that any point that lands on the old transform will be funneled through the linked one before being sent back to the flame. In that sense it acts just like a post transform, only that it has all the attributes of a “real” transform, such as adding post and linked ones of its own, changing colors, variations, xaos; the whole deal.
That’s it! there’s nothing more to this mysterious feature. Do keep in mind that adding new transforms breaks the entire linking structure previously created.
This is a bug in Apophysis, as the linked status isn’t recorded anywhere in the flame, but inferred by how the xaos paths relate to each other. Adding a new transform just steamrolls over this like it didn’t exist, while the linking itself is surprisingly self-aware. If you add a linked transform to an already linked one (doesn’t matter if it’s the linker or linkee), they will nicely build a single stack of transforms through which the random sample moves.
If you actually want to create a linked tranform on top of an already linked one independently of the original, you’ll have to build it manually. I’m not crazy enough to try that one yet… or am I?
August 23, 2008
I’ve just realized that I’ve been using this very basic option all wrong. The filter radius setting in Apophysis applies a small blur to each individual pixel, helping smooth out jaggy edges and noisy areas (in some cases). But one fundamental thing I had failed to understand until now is that this setting needs to be directly proportional to your render size, regardless of how much you think the particular fractal you’re working on needs it.
The reasoning is simple: In a large image, typically used for a print, there are just too many levels of self similarity, too many little distractions everywhere, taking away from the whole rather than adding to it. These details reside at the sub-pixel level in normal render sizes, and so don’t get proper attention. But they do distract from the lines, texture and sense of direction in your piece. The opposite happens for thumbnails and smaller images, which tend to lose focus and crispness. Supersampling helps there, but it can’t work properly if you’re just blurring over it.
The rounding errors introduced by small buffer sizes tend to naturally blur the image. Counteract this effect (or lack thereof) according to your render dimensions.
August 21, 2008
A power user is one who, generally speaking, knows each and every feature a program has to offer. But Apophysis doesn’t even have that many, so what’s up with the term? Well, I have to give it a slightly different meaning in the context of fractals. An Apophysis power user is one who doesn’t only know what everything does, but also how it’s done. He’s not a victim of the chaos game, barely hoping to get something useful out of its depths. Knowing all the rules, riding the chaos wave, she bends fractals to her will – not the other way around.
If you’re the kind of person who’s never baffled by the program’s behaviour, who fundamentally gets how to build a grand julian without the need to look up a tutorial; if you make your images look exactly how you picture them in your mind – then, my friend, you may be on your way to become a true master of chaos. Have I reached that level? Hell no, but I’m well on my way. How to get there? It takes curiosity, persistence and curiosity. Did I mention curiosity? Never be satisfied with having things just work. Ask why. Ask how. Don’t be afraid of the math, everything’s much simpler than it appears at first glance.
If you’re there already, congratulations! Feel free to hang out, drop a comment once in a while, and be open towards discussing and learning new things. On the other hand, if you don’t believe you can reach that level, think again. I don’t have a perfect recipe, but if you stick around I’ll show you everything I know, little by little. That should give you a headstart.
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