These kind of performance improvements have really cool potential for real time image/texture generation in games. I’ve already seen some games do this, but they usually rely on generating the images online.
ASCII and low graphic roguelike’s have a lot of generation freedom where they can create very unique monsters/items/etc. However a lot of this flexibility is lost as you move to more polished games that require models and art assets for everything. This is also one of the many reasons that old-styled games are still popular, is because they often offer more variety and randomization than newer titles. I think generated art assets could be a cool way to bridge the gap though, and let more modern games have crazy unique monsters/items with visuals.
More mediocre images for everyone!
While I think the realism of some models is fantastic and the flexibility of others is great it is starting to feel like we’re reaching a plateau on quality. Most of the white papers I’ve seen posted lately are about speed or some alternate way of doing what ControlNet or inpainting can already do.
Have you seen the SD3 preview images? They’re looking seriously impressive.
Well, when it’s fast enough you can do it in real time. How about making old games look like they looked to you as a child?
There’s way more to a game’s look than textures though. Arguably ray tracing will have a greater impact than textures. Not to mention, for retro games, you could just generate the textures beforehand, no need to do it in real time.
I meant putting the whole image through AI. Not just the textures. Tell it how you want it to look and suddenly a grizzled old Mario is jumping on a realistic turtle with blood splattering everywhere.
When the output of something is the average of the inputs it will naturally be mediocre. It will always look like the output of a committee by the nature of how it is formed.
Certain artists stand out because they are different from everyone else, and that is why they are celebrated. M.C. Escher has a certain style that when run through AI looks like a skilled high school student doing their best impression of M.C. Escher.
Now as a tool to inspire, AI is pretty good at creating mashups of multiple things really fast. Those could be used by an actual artist to create something engaging. Most AI reminds me of photoshop battles.
That’s maybe because we’ve reached the limits of what the current architecture of models can achieve on the current architecture of GPUs.
To create significantly better models without having a fundamentally new approach, you have to increase the model size. And if all accelerators accessible to you only offer, say, 24gb, you can’t grow infinitely. At least not within a reasonable timeframe.
Will increasing the model actually help? Right now we’re dealing with LLMs that literally have the entire internet as a model. It is difficult to increase that.
Making a better way to process said model would be a much more substantive achievement. So that when particular details are needed it’s not just random chance that it gets it right.
That is literally a complete misinterpretation of how models work.
You don’t “have the Internet as a model”, you train a model using large amounts of data. That does not mean, that this model contains any of the actual data. State of the at models are somewhere in the billions of parameters. If you have, say, 50b parameters, each being a 64bit/8 byte double (which is way, way too much accuracy) you get something like 400gb of data. That’s a lot, but the Internet slightly larger than that.
It’s an exaggeration, but its not far off given that Google literally has all of the web parsed at least once a day.
Reddit just sold off AI harvesting rights on all of its content to Google.
The problem is no longer model size. The problem is interpretation.
You can ask almost everyone on earth a simple deterministic math problem and you’ll get the right answer almost all of the time because they understand the principles behind it.
Until you can show deterministic understanding in AI, you have a glorified chat bot.
The paper: https://arxiv.org/pdf/2311.18828.pdf
So more AI porn?
Partnered with Adobe research so we’re never going to get the actual model.
