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Stable Diffusion 2.0

stability.ai

131–140 of 519 posts

Re: Stable Diffusion 2.0

#131
Hopefully related: If I'm a photographer wanting to improve resolution of my content for printing, what's my current best bet for upscaling?

Is it realistic to make use of this on the command line, feeding it my own images? Or has someone wrapped it in an app or online service?

Re: Stable Diffusion 2.0

#132

Earlier quoted context omitted.

I don’t know anybody that is blown away by keyboard auto suggest. It’s wrong as often as it is right. Not saying it isn’t useful, but let’s not oversell it.

> Impressive isn't it! >> Yeah! Don't they make a trillion dollars a year? How is it so crappy?

This is universally the result that I see from my nontechnical friends; Apple has literally all the money and Siri has the listening comprehension of a drunk beagle.

Re: Stable Diffusion 2.0

#133
I've seen references to merging models together to be able to generate new kinds of imagery or styles, how does that work? I think you use Dreambooth to make specialized models, and I think I got an idea about how that basically assigns a name to a vector in the latent space that represents the thing you want to generate new imagery of, but can you generate multiple models and blend them together?

Edit: Looks like AUTOMATIC1111 can merge three checkpoints. I still don't know how it works technically, but I guess that's how it's done?

https://github.com/AUTOMATIC1111/stable-diffusion-webui

Re: Stable Diffusion 2.0

#134
post #131

Hopefully related: If I'm a photographer wanting to improve resolution of my content for printing, what's my current best bet for upscaling? Is it realistic to make use of this on the command line, feeding it my own images? Or has someone wrapped it in an app or online service?

You're probably better of using Real-ESRGAN: https://github.com/xinntao/Real-ESRGAN. It's pretty solid and fast, even has portable executables you can just use as is. The upscaler that comes with stable diffusion might work for you, but I suspect it'll probably do a better job at upscaling stable diffusion output rather than a natural images (might be wrong though).

Re: Stable Diffusion 2.0

#135
post #50

Earlier quoted context omitted.

They know they are going to be the next target in the war on general purpose computing. They're trying to stave it off for as long as possible by signalling to the authorities that they are the good guys. A confrontation is inevitable, though. Right now it costs moderate sums of money to do this level of training. Not always will this be so. If I were an AI-centric organization, I would be racing to position myself a…

I am not clicking that link because no one should take the risk of you proving your point of what horrors could pop out of one of these models. I will say that while the government backlash is inevitable just like it was with encryption, these image generation models are so easy to train on consumer hardware that the cat is hopelessly out of the bag. It might as well be thoughtcrime.

I agree, that was the riskiest click I've made in a while.

Re: Stable Diffusion 2.0

#136
post #131

Hopefully related: If I'm a photographer wanting to improve resolution of my content for printing, what's my current best bet for upscaling? Is it realistic to make use of this on the command line, feeding it my own images? Or has someone wrapped it in an app or online service?

Photoshop and Lightroom have had AI upscaling for awhile.

Re: Stable Diffusion 2.0

#137
I just thought about this, so bare in mind that I don't know much of the technical implications of this, but:

Couldn't we train a very good model by distributing the dataset along with the computing power using something similar to folding@home?

Re: Stable Diffusion 2.0

#138

I just thought about this, so bare in mind that I don't know much of the technical implications of this, but: Couldn't we train a very good model by distributing the dataset along with the computing power using something similar to folding@home?

stop trying to build skynet

Re: Stable Diffusion 2.0

#139

Earlier quoted context omitted.

Porn has driven many tech advances. I predict that models trained on specific porn genres will appear as soon as training a good model is doable for under $5000. They’ll get here much quicker if we get video to that mark first.

> Porn has driven many tech advances. This is an urban myth.

Which happens to be true.
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