Earlier quoted context omitted.
I'm not a lawyer, but I believe there was a court ruling that says AI generated works cannot be copyrighted. So you could use them, but couldn't stop anyone else from doing what they want with them
> there was a court ruling What jurisdiction? USA?
SDXL Turbo: A Real-Time Text-to-Image Generation Model
61–70 of 157 posts
Re: SDXL Turbo: A Real-Time Text-to-Image Generation Model
#62Noncommercial use - aside from being one of my licensing pet peeves - seems to indicate that the money is drying up. My guess is that the investors over at Stability are tired of subsidizing the part of the generative AI market that OpenAI refuses to touch[0]. The thing is, I'm not entirely sure there's a paying portion of the market? Yes, I've heard of people paying for ChatGPT because it answers programming questio…
The only truly successful commercial use of SDXL I know of is by NovelAI. Said company appears to have used an 256xH100 cluster to finetune it to produce anime art.
Open source efforts to produce a similar model seem to have failed due to the extreme compute requirements for finetuning. For example, Waifu Diffusion using 8XA40[0] have not managed to bend SDXL to their will after potentially months of training.
If you need 256xH100 to even finetune the model for your use case, what's stopping you from just training your own base model? Not much, as it turns out. Developers of NovelAI have stated they'll train from scratch for the next version of their model a few weeks ago.
So I agree, even with the licensing changes things might be looking somewhat dire for SAI.
https://gist.github.com/harubaru/f727cedacae336d1f7877c4bbe2...
Re: SDXL Turbo: A Real-Time Text-to-Image Generation Model
#63Noncommercial use - aside from being one of my licensing pet peeves - seems to indicate that the money is drying up. My guess is that the investors over at Stability are tired of subsidizing the part of the generative AI market that OpenAI refuses to touch[0]. The thing is, I'm not entirely sure there's a paying portion of the market? Yes, I've heard of people paying for ChatGPT because it answers programming questio…
> Porn. It's always porn.
I've been surprised at the explosion of porn. Well, not actually. Automatic1111 made that easy and anyone that CivitAI knows all too well what those models are being used for. I mean when you give teenagers the ability to undress their crushes[0] what do you think is going to happen (do laws adequately protect people (kids)? Can they? Will this force a shift towards actually chasing producers, distributors, and diddlers?)?
Porn is clearly an in demand market. But what does surprise me is that there's been a lot of work in depth maps and 3D rendering from 2D images in the past few years so I'm a bit surprised that given how popular VR headsets are (according to today's LTT episode, half as many Meta Quest 2s as PS5s have been sold?!). I mean if VR headsets are actually that prolific it seems like there'd be a good market for even just turning a bunch of videos into VR videos, not to mention porn (I don't have a VR headset, but I hear a lot of porn is watched. No Linus, I'm not going to buy second hand...). I think all it takes is for some group to optimize these models like they have for LLaMA and SD (because as a researcher I can sure tell you, we're not the optimizers. Use our work as ballpark figures (e.g. GANs 10x Diffusion) but there's a lot of performance on the table). You could definitely convert video frames to 3D on prosumer grade hardware (say a 90 minute movie in There are a lot of wild things that I think AI is going to change that I'm not sure people are really considering (average people anyways or at least stuff that's not making it into popular conversation). ResNet-50 is still probably the most used model btw. Not sure why, but just about every project I see that's not diffusion of an LLM is using this as a backbone despite research models that are smaller, faster, and better (at least on ImageNet-22k and COCO).
Re: SDXL Turbo: A Real-Time Text-to-Image Generation Model
#64Noncommercial use - aside from being one of my licensing pet peeves - seems to indicate that the money is drying up. My guess is that the investors over at Stability are tired of subsidizing the part of the generative AI market that OpenAI refuses to touch[0]. The thing is, I'm not entirely sure there's a paying portion of the market? Yes, I've heard of people paying for ChatGPT because it answers programming questio…
The EU views Google as a tobacco company. The last thing they want to do is bankrupt them with fees. They want to milk Google - big tech generally - for tax revenue. And besides, it'd take $100 billion per year in fees, which is never going to happen. Meanwhile Google keeps getting bigger year after year (they have nearly doubled in size in four years, up to $300b in sales now) and Bing has made zero headway despite…
> The US breaking Google up also won't end the monopoly money.
It's also weird because modern economics with tech has created a space that creates a lot of natural monopolies. Momentum is very powerful and it's the reason silicon valley companies will run at a loss for years creating a userbase. Trick is to keep them (or sell before buyer starts charging). There's what, 2 map companies and only one of them is in high usage because it's a default? Same with browsers. You can't compete because making a better product isn't enough in a system where network effects dominate the economics. Hardware companies are seeing that (along with patent issues, especially across borders). I have no idea how to think about this tbh because it is weird. In some cases breaking these companies up ultimately destroys them while in other cases, exactly what you say.
Re: SDXL Turbo: A Real-Time Text-to-Image Generation Model
#65Noncommercial use - aside from being one of my licensing pet peeves - seems to indicate that the money is drying up. My guess is that the investors over at Stability are tired of subsidizing the part of the generative AI market that OpenAI refuses to touch[0]. The thing is, I'm not entirely sure there's a paying portion of the market? Yes, I've heard of people paying for ChatGPT because it answers programming questio…
Open AI has a pretty robust and profitable business without Microsoft. In every enterprise I’ve been involved with over the last few years we have had some incredibly material and important use cases of OpenAI LLMs (as well as Claude). They aren’t spewing slop or whatever, they’re genuinely achieving valuable and foundational business outcomes. I’ve been a bit stunned at how fast we’ve achieved these things and it te…
Sigh I'm really tired of seeing people assume OpenAI is profitable. We have no idea of they are or not and have some indication that they're incinerating money on chatgpt to the point that they're turning off sign ups because they're out of compute.
Re: SDXL Turbo: A Real-Time Text-to-Image Generation Model
#66Earlier quoted context omitted.
the use case here is really for segmented inpainting. don't like a part of an image? replace it instantly
There are SO many use cases! I maintain we're not even scratching the surface here. You could programmatically reskin video based on crowd participation, you could re-texture VR spaces on the fly. The space of cool shit that you can do with this stuff is growing far faster than we're able to explore it right now.
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Re: SDXL Turbo: A Real-Time Text-to-Image Generation Model
#67Noncommercial use - aside from being one of my licensing pet peeves - seems to indicate that the money is drying up. My guess is that the investors over at Stability are tired of subsidizing the part of the generative AI market that OpenAI refuses to touch[0]. The thing is, I'm not entirely sure there's a paying portion of the market? Yes, I've heard of people paying for ChatGPT because it answers programming questio…
The only truly successful commercial use of SDXL I know of is by NovelAI. Said company appears to have used an 256xH100 cluster to finetune it to produce anime art. Open source efforts to produce a similar model seem to have failed due to the extreme compute requirements for finetuning. For example, Waifu Diffusion using 8XA40[0] have not managed to bend SDXL to their will after potentially months of training. If you…
Is that the correct link? I've never heard of A40s, the link is to release notes from a year and two months ago, and SD XL just came out a month or two ago. Hard for me to get to "SD XL cannot [be finetuned effectively]" from there.
Re: SDXL Turbo: A Real-Time Text-to-Image Generation Model
#68> A Real-Time Text-to-Image Generation Model > On an A100, SDXL Turbo generates a 512x512 image in 207ms (prompt encoding + a single denoising step + decoding, fp16), where 67ms are accounted for by a single UNet forward evaluation. Okay... so what part of this is real time? 207ms is 4.8Hz. 67ms is 14.9Hz. Isn't "real time" in graphics considered to be at least 30Hz (33ms)? And by today's standards at minimum 60Hz (1…
It's "real-time" as in "I finished typing and the image is already there"
I think it is still a but deceptive to say this considering a well know and high usage alternative definition exists. Plus that's on commercial grade hardware.
Re: SDXL Turbo: A Real-Time Text-to-Image Generation Model
#69Earlier quoted context omitted.
Open AI has a pretty robust and profitable business without Microsoft. In every enterprise I’ve been involved with over the last few years we have had some incredibly material and important use cases of OpenAI LLMs (as well as Claude). They aren’t spewing slop or whatever, they’re genuinely achieving valuable and foundational business outcomes. I’ve been a bit stunned at how fast we’ve achieved these things and it te…
Sigh I'm really tired of seeing people assume OpenAI is profitable. We have no idea of they are or not and have some indication that they're incinerating money on chatgpt to the point that they're turning off sign ups because they're out of compute.
I'm not sure that's a useful argument insomuch as A) its unfalsifiable until they IPO (reporting indicates they are very, very profitable) and B) running out of GPUs seems like an odd thing to name as an indicator you're _losing_ money.
People are genuinely way, way, way underestimating how intense the GPU shortage is.
Re: SDXL Turbo: A Real-Time Text-to-Image Generation Model
#70Earlier quoted context omitted.
There are SO many use cases! I maintain we're not even scratching the surface here. You could programmatically reskin video based on crowd participation, you could re-texture VR spaces on the fly. The space of cool shit that you can do with this stuff is growing far faster than we're able to explore it right now.
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