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Stable Diffusion 2.0

stability.ai

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Re: Stable Diffusion 2.0

#71

Post by bloaf »

jimbob45 wrote: post #67
bloaf wrote: 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…

Banknote printing is primarily protected against on the hardware level of printers, no? With the nigh-invisible unique watermark left by every printer, there’s virtually no way you’d get away with it. My guess is that the Photoshop filter exists mostly as a barrier against the crime of convenience.

My point is that there is precedent for governments requiring companies to implement restrictions on what images can be handled by their software.

As I explained: This kind of mandated restriction is looming over AI. Companies are trying to get out in front of these restrictions so they can implement them on their own terms.

Re: Stable Diffusion 2.0

#72

Post by braingenious »

datalopers wrote: post #40
satvikpendem wrote: post #12

Earlier quoted context omitted.

They reportedly did so to stop people from generating CSAM [0]. [0] https://old.reddit.com/r/StableDiffusion/comments/y9ga5s/sta...

They’ve ensured the only way to create CSAM is through old-fashioned child exploitation, meanwhile all perfectly humane art and photography is at risk of AI replacement. This is a huge missed opportunity to actually help society.

LMFAO

What do you propose? The FBI releases a CSAM data set for devs to use for “training”?

Would you be the one to create the model? Would you run a business that sells synthetic CSAM?

Re: Stable Diffusion 2.0

#73

Post by wizeman »

xnyan wrote: post #66
dougmwne wrote: post #62

Earlier quoted context omitted.

Are you kidding? Many times corporate decisions are being made effectively at random. Thinking that the average company operates with a 999 batting average is a total fantasy.

When our c suite decides on an ad campaign and tells our artists to draw normal humans, those people have 3 legs or upside down teeth exactly 0% of the time. Humans have many many limitations, but with every model I’ve tested there’s a set of errors that would virtually never be made by any human.

> with every model I’ve tested there’s a set of errors that would virtually never be made by any human

I guess you've never seen my drawings...

Re: Stable Diffusion 2.0

#74

Post by kmeisthax »

echelon wrote: post #61
kmeisthax wrote: post #58

Is there a good explanation of how to train this from scratch with a custom dataset[0]? I've been looking around the documentation on Huggingface, but all I could find was either how to train unconditional U-Nets[1], or how to use the pretrained Stable Diffusion model to process image prompts (which I already know how to do). Writing a training loop for CLIP manually wound up with me banging against all sorts of stra…

> train this from scratch If you're talking about training from scratch and not fine tuning, that won't be cheap or easy to do. You need thousands upon thousands of dollars of GPU compute [1] and a gigantic data set. I trained something nowhere near the scale of Stable Diffusion on Lambda Labs, and my bill was $14,000. [1] Assuming you rent GPUs hourly, because buying the hardware outright will be prohibitively expen…

I have... ~11TBs of free disk space and a 1080ti. Obviously nowhere close to being able to crunch all of Wikimedia Commons, but I'm also not trying to beat Stability AI at their own game. I just want to move the arguments people have about art generators beyond "this is unethical copyright laundering" and "the model is taking reference just like a real human".

Re: Stable Diffusion 2.0

#75

Post by fastball »

echelon wrote: post #61
kmeisthax wrote: post #58

Is there a good explanation of how to train this from scratch with a custom dataset[0]? I've been looking around the documentation on Huggingface, but all I could find was either how to train unconditional U-Nets[1], or how to use the pretrained Stable Diffusion model to process image prompts (which I already know how to do). Writing a training loop for CLIP manually wound up with me banging against all sorts of stra…

> train this from scratch If you're talking about training from scratch and not fine tuning, that won't be cheap or easy to do. You need thousands upon thousands of dollars of GPU compute [1] and a gigantic data set. I trained something nowhere near the scale of Stable Diffusion on Lambda Labs, and my bill was $14,000. [1] Assuming you rent GPUs hourly, because buying the hardware outright will be prohibitively expen…

No post body was provided.

Re: Stable Diffusion 2.0

#76

Post by fastball »

kmeisthax wrote: post #45
minimaxir wrote: post #9

Earlier quoted context omitted.

In practice, it's unclear how well avoiding training on NSFW images will work: the original LAION-400M dataset used for both SD versions did filter out some of the NSFW stuff, and it appears SD 2.0 filters out a bit more. The use of OpenCLIP in SD 2.0 may also prevent some leakage of NSFW textual concepts compared to OpenAI's CLIP. It will, however, definitely not affect the more-common use case of anime women with v…

The main reason why Stable Diffusion is worried about NSFW is that people will use it to generate disgusting amounts of CSAM. If LAION-5B or OpenAI's CLIP have ever seen CSAM - and given how these datasets are literally just scraped off the Internet, they have - then they're technically distributing it. Imagine the "AI is just copying bits of other people's art" argument, except instead of statutory damages of up to…

Is artificially generated CSAM that doesn't actually involve children in its production not an improvement over the status quo?

Re: Stable Diffusion 2.0

#80

Post by vanshg »

theylovezmw wrote: post #26

Interesting this is being marketed as a 2.0 release so quickly after the first version was launched. These new updates are quite great but are they so game-changing that it is considered 2.0?

It doesn't need to be game-chaning to be considered V2. It just needs to be "the next version"
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