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Stable Diffusion 2.0

stability.ai

121–130 of 519 posts

Re: Stable Diffusion 2.0

#121

Earlier quoted context omitted.

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?

Well, Microsoft and others have this model for recognizing CSAM, trained on those CSAM images.

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Re: Stable Diffusion 2.0

#124

is there a tool that uses to create UX/UI designs. It'd be really cool to get inspirations...

I would love that…I’ve heard of this use case for AI described many times but I’ve yet to find anyone doing it! Copilot is great, but for more creative/frontend work it seems like there should be something right?

Stable Diffusion is amazing at generating art. Something similar but specialized in UI could be too. Maybe one could make a custom model, but with my lack of design knowledge I’m not even sure where to start…

It would surely save my monkey brain from pouring many more hours into looking at existing websites/UI libraries/Dribble and drawing inspiration (copying) from them.

Re: Stable Diffusion 2.0

#125
post #86

Awesome, I’ve put stable diffusion on an api to train a model for anyone to use for free. I’m adding 2.0 to it as we speak! https://88stacks.com

How is this free? Is it possible to download the checkpoints? I'm asking because I'm running SD locally but my GPU is not good enough to train new checkpoints and while I get the time to work on improve I wanted to use this API in order to generate some models for an illustration book I am working on.

It’s free because it’s on my research cluster, not in the cloud and I want to share it. For faster training it will be paid with other features, but to train a basic model will always be free. Im adding download of checkpoints now.

Re: Stable Diffusion 2.0

#126
post #86

Awesome, I’ve put stable diffusion on an api to train a model for anyone to use for free. I’m adding 2.0 to it as we speak! https://88stacks.com

How is this free? Is it possible to download the checkpoints? I'm asking because I'm running SD locally but my GPU is not good enough to train new checkpoints and while I get the time to work on improve I wanted to use this API in order to generate some models for an illustration book I am working on.

Check out fast-dreambooth colab. I use that to freely train checkpoints that can be downloaded.

Re: Stable Diffusion 2.0

#127

Earlier quoted context omitted.

I don't understand why so many people call Stable Diffusion open source.

Why do you think it is not open source? The model weights, model architecture, and dataset are all available.

Read the license of the model: https://github.com/Stability-AI/stablediffusion/blob/main/LI...

5. and 7. make it not open source

Re: Stable Diffusion 2.0

#128

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.

Strongly believe selection bias among the folks you're getting this impression from. The avg user is not our circle.

This is exactly it.

Honestly I was quite surprised at how regular people are impressed by this tech. I was also surprised by how little regular people are aware of this tech even existing.

We, on hackernews, on a thread about Stable Diffusion, are of course not too unimpressed.

But that’s not the vast majority of people.

Re: Stable Diffusion 2.0

#129

Earlier quoted context omitted.

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?

lol there's a piping hot take

Re: Stable Diffusion 2.0

#130
post #84
post #61

Earlier quoted context omitted.

> 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…

Depends on the dataset. You can probably get decent results by restricting the modality of the images (faces, cars, bedrooms etc) I trained from scratch with 4x3090 and while it’s not as good as SD it’s surprisingly better with hands.

Can you go into a bit more detail? What architecture did you use? Is the month training time really just training with mini batches with a constant learning rate? Or are these many failed attempts until you trained a successful model for a few days in the end?

I particularly interested in the image generation part (the DDPM/SGM)

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