DudeWTF
Is anyone here using SD with Blender or for stuff other than NSFW too? Looking to see if a laptop embedded RTX 4050 or 4060 is viable? What is the real limit here? Like can anyone tell me something like “8gbv just can’t do (XYZ)” or the iteration time becomes so long the workflow is not practical/sw crashes. Anyone running Linux on a 4050/4060? What kind of impact is there with storage speeds, what size of DDRx is used in practice?
It is easy to have too many cooks in the kitchen, but that is an easy problem to solve. Model decay is not a real problem if you understand how a LLM works. Overtraining is like burning a big dinner and ruining a meal. One doesn’t stop cooking forever, or burn down the house and quit. You just cook another meal next time. If your model has 100 trillion tokens, you’re likely to try your very best to salvage your massive ruined dish, but in the end, it doesn’t matter. You can easily tweak the recipe for next time. Models have no persistent memory. Context can be used to train and turned into data, but it is a totally separate thing that is unrelated to the model itself. As an oversimplification, a LLM is just a large database of categories mixed with a massive amount of language data that enables a statistical calculation of what word should come next. This is a simple prediction of what word comes next. Everything else is censoring algorithms and illusions embedded into how humans use language. Really, thus is a tool to access culture through language, and in the case of larger models, the culture embedded into many different human languages.
This is as much of a “fad” now as the internet was in the late 90’s, and this is on par with that change. LLMs are no fad. This is a tool as disruptive as the public internet. For instance, in 10 years, Google will be a relic of the past. AI will completely replace it. Education will also completely change. It is possible to have entirely individualized education. Physiology will change as a LLM can be tuned to address and help with many human social issues. This will change everything because it exists I’m the open source space already.
Need cat pillow cam soo badly
Sorry. Titles are hard. I went with a hot take without much thought. I never intend to click bait; only here to share what I find interesting.
This includes the only results without oddball errors. If I could have included errors here, there were images at the statue of liberty, golden gate, Eiffel tower, Parthenon, and others.
The hosted instance that generated the image (not mine) is hard to tweak for what “skinny” means, and even if it will generate an output that uses the term. I have no way to analyze anything but the parameters and image and am rate limited to a free account. Like, if you read the parameters the image should be completely different, but it did its own thing. I only post for others that may need baseline ideas and maybe seeds to start from. All of these are so deep in the noise that it is unlikely they can be pushed any further. I just wish I had more easily accessible example sources that could work on this hosted instance. If I feel this way, others may too. So posting can maybe help them.
That said, the big legs are probably the biggest error in the image, but I’m calling it perspective lens distortion and posting it bc I think it’s pretty.
More bikes gone wild ;)
Ride safe
I’ve been playing the new Zelda game too much on the switch. The eye tat on the hip must mean you’re a Sheikah warrior
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