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Stable Diffusion is wild - the space has been quickly developing and watching the pace of development makes me reconsider what I consider "staggering". I've been blown away. The accessibility of this technology is even more incredible - there's even a fork that is working on M1 Macs (https://github.com/lstein/stable-diffusion)
We are in for some interesting times. Whatever the next iteration of Textual Inversion is will be extremely disruptive, especially if the concepts continue to be developed collectively.
There is a fork at https://github.com/basujindal/stable-diffusion which is optimized for 8gb cards, I have been using it to run SD on my 1080
That fork released around when SD released, I've been wondering if anyone's integrated those optimizations into some of the more prominent forks that are floating around
> I was hoping an online service would pop up where you can use someone else's hardware for a small fee and generate images.
This one charges but gives pretty good results at 512x512 - and in only a couple of seconds at that resolution. For more logo/cartoony stuff you can generally get a 10 step done in less than a second.
When I signed up a few weeks ago they gave 200 credits free (IIRC). After that it is $10 for another 1,000 credits (a credit gives 5 images at 10 step 512x512 or 1 image at 50 step 512x512).
https://beta.dreamstudio.ai
Only thing to note is that after a while it slows down, but I realised that is because every image generated is going into an array in local storage in the browser. Using the browser's Inspect -> Application area to clear that array every 100 images or so sorted that out.
I tried with these pretrained embeddings, but haven't gotten them to run in inference locally without crashing yet.
https://github.com/hlky/sd-embeddings
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