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If you have a GPU with >4GB of VRAM and you want to run this locally, here's a fork of the Stable Diffusion repo with a convenient web UI: https://github.com/hlky/stable-diffusion It supports both txt2img and img2img. (Not affiliated.) Edit: Incidentally, I tried running it on a CPU. It is possible, but it took 3 minutes instead of 10 seconds to produce an image. It also required me to hack up the script in a really…
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if you use the same parameters (e.g. image, seed, noise strength, guidance scale, sample count - which are not exposed on this UI), yes.
Depends. The default script uses a non-deterministic stochastic encode for img2img. That would need to be modified as far as I know.
It only produces colored noise for me. What am I doing wrong?
That’s not the “incremental diffusion preview” it’s the “waiting in a queue” preview.
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if you use the same parameters (e.g. image, seed, noise strength, guidance scale, sample count - which are not exposed on this UI), yes.
Depends. The default script uses a non-deterministic stochastic encode for img2img. That would need to be modified as far as I know.
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What kind of GPU do you have? It takes several minutes to produce an image on my 1070.
Takes 3 minutes (for a prompt resulting in a set of 4 images) on my 1080 as well. Really astonished that it takes GP about the same time using just a CPU. Seems like the older generation of GPUs isn't much better than CPUs in regards to ML stuff.
GP talks about generating a single image while you talk about generating 4.
I've been playing with this for a few hours. It's slow going -- you really need a fast GPU with a lot of RAM to make this very usable. I ended up paying the $10 for Google Colab Pro and that's how I've been using this. Maybe I'll figure out how to get this working on my old 1080 TI to see if it's faster. Anyway, for the one that I'm using which has a web UI, you can use this Colab link. It's pretty great! https://col…
If you have a GPU with >4GB of VRAM and you want to run this locally, here's a fork of the Stable Diffusion repo with a convenient web UI: https://github.com/hlky/stable-diffusion It supports both txt2img and img2img. (Not affiliated.) Edit: Incidentally, I tried running it on a CPU. It is possible, but it took 3 minutes instead of 10 seconds to produce an image. It also required me to hack up the script in a really…
What kind of GPU do you have? It takes several minutes to produce an image on my 1070.
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I’m not gonna lie, I’m quite disappointed at all the anti-NSFW shenanigans.
The NSFW thing is just a fig leaf though, it's trivial to disable if you run it locally and it annoys you.
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I’m not gonna lie, I’m quite disappointed at all the anti-NSFW shenanigans.
I'm not gonna lie, I'm quite disappointed by the wilful obstinance on HN whenever there is a discussion of anti-NSFW or anti-racism filters that are present on today's artificial intelligence research. First, the filters are only on the interface. The research is public. That's why there has been an explosion of new implementations. You are welcome to run the code yourself and make the horniest model you like. But mo…
Your argument is entirely descriptive. We know why they do this. What should be argued here is how stupid and sad it is to block progress due to nothing more than religious or moral values.
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The NSFW thing is just a fig leaf though, it's trivial to disable if you run it locally and it annoys you.
However, it looks like the model wasn't trained on NSFW keywords anyway, which means it is permanently impaired in that regard.