This Thanksgiving, I would like to extend a very warm Thank You to the Stable Diffusion team!
Side note: The 4x upscaler model is showing as unavailable if you follow the hugging face link to it.
Stable Diffusion 2.0
51–60 of 519 posts
Re: Stable Diffusion 2.0
#52Earlier quoted context omitted.
What are you building?
Quoted post unavailable.
This comment pretty clearly breaks the commenting guidelines https://news.ycombinator.com/newsguidelines.html
>Be kind. Don't be snarky. Have curious conversation; don't cross-examine. Please don't fulminate. Please don't sneer, including at the rest of the community. Edit out swipes.
Comments should get more thoughtful and substantive, not less, as a topic gets more divisive.
Re: Stable Diffusion 2.0
#53I am a solo dev working on a creative content creation app to leverage the latest developments in AI. Demoing even the v1 of stable diffusion to the non-technical general users blows them away completely. Now that v2 is here, it’s clear we’re not able to keep pace in developing products to take advantage of it. The general public still is blown away by autosuggest in mobile OS keyboards. Very few really know how far…
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.
Re: Stable Diffusion 2.0
#54Re: Stable Diffusion 2.0
#55They apparently tried to combat NSFW generation by filtering the training dataset not to include any.
They reportedly did so to stop people from generating CSAM [0]. [0] https://old.reddit.com/r/StableDiffusion/comments/y9ga5s/sta...
Nixon: (muttering) Jesus Christ
I swear every time I find myself thinking “Hey, stop being so cynical and jaded all the time”, I stumble across something like this.
Re: Stable Diffusion 2.0
#56I am a solo dev working on a creative content creation app to leverage the latest developments in AI. Demoing even the v1 of stable diffusion to the non-technical general users blows them away completely. Now that v2 is here, it’s clear we’re not able to keep pace in developing products to take advantage of it. The general public still is blown away by autosuggest in mobile OS keyboards. Very few really know how far…
There just isn’t a lot of market opportunities where being right 99% of the time is good enough. If you are operating at scale and 1/100 decisions are wrong, the outcome is poor and often highly off-putting to users.
It’s possible this time is different, but people at my company were entertained by DALLE for all of 5 minutes before no one ever mentioned it again. The value proposition is simply low.
Re: Stable Diffusion 2.0
#57They apparently tried to combat NSFW generation by filtering the training dataset not to include any.
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…
Very niche example here, that can be easily circumvented
Also seems problematic to approach this from a purely capitalistic and consumerist angle. There is a lot of opportunity here besides just launching the next AI unicorn.
Re: Stable Diffusion 2.0
#58Is 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 strange roadblocks and missing bits of documentation, and I still don't have it working. I'm pretty sure I also need some other trainables at some point, too.
[0] Specifically, Wikimedia Commons images in the PD-Art-100 category, because the images will be public domain in the US and the labels CC-BY-SA. This would rule out a lot of the complaints people have about living artists' work getting scraped into the machine; and probably satisfy Debian's ML guidelines.
[1] Which actually does work
Re: Stable Diffusion 2.0
#59Does anyone have a good source for all sorts of prompts for image generation?
https://publicprompts.art/ is amazing
Re: Stable Diffusion 2.0
#60Awesome, 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