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Easy Stable Diffusion XL in your device, offline

noiselith.com

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Re: Easy Stable Diffusion XL in your device, offline

#41
post #9
post #5

I realize it may be good marketing, but it's odd to have the fact that it's on device and offline be the primary differentiator when that's probably how most people use Stable Diffusion already. I'd probably focus more on it being easy to install and use, as that's something that isn't done much. For me, if it doesn't have Controlnet, upscaling, some kind of face detailer, and preferably regional prompting, I'm out.…

I think there's probably a bunch of people who don't use things like A1111 because of the complexities of the download-this-which-downloads-this-which-downloads-this-then-you-manually-download-this-and-this setup model. I can see how something simpler might appeal to new users, even if it doesn't appeal to existing users.

Sure, and I agree with that. As I said, I'd probably push that just as much as it being 'offline,' if not more.

Re: Easy Stable Diffusion XL in your device, offline

#42
post #28

I would highly recommend Fooocus to anyone who hasn't tried: https://github.com/lllyasviel/Fooocus There are a bajillion local SD pipelines, but this one is, by far , the one with the highest quality output out-of-the-box, with short prompts. Its remarkable. And thats because it integrates a bajillion SDXL augmentations that other UIs do not implement or enable by default. I've been using stable diffusion since 1.5 c…

Looks like a complete contraption to setup and looks very unpleasant to use at first glance when compared against Noiselith. The hundreds of python scripts and having the user to touch the terminal shows why something like Noiselith should exist for normal users rather than developers or programmers. I would rather take a packaged solution that just works over a bunch of scripts requiring a terminal.

installation/setup is dead simple. up and running in under 3 minutes:

git clone https://github.com/lllyasviel/Fooocus.git

cd Fooocus

pip3 install -r requirements_versions.txt

python3 entry_with_update.py

Re: Easy Stable Diffusion XL in your device, offline

#43

Earlier quoted context omitted.

Elaborate?

I'm being kind of tongue in cheek because I understand that this is for just making things really easy and ComfyUI is a node based editor that most people would have trouble with. But the best UI for local SD generation that the community is using is https://github.com/comfyanonymous/ComfyUI

Agreed. It's worth the learning curve for the sheer power you can enable your workflows. I've always wanted to toy around with node based architectures and this seemed quite easy after using A1111 extensively. The community providing ready to go workflows has made it quite enjoyable too.

Re: Easy Stable Diffusion XL in your device, offline

#45
post #5

I realize it may be good marketing, but it's odd to have the fact that it's on device and offline be the primary differentiator when that's probably how most people use Stable Diffusion already. I'd probably focus more on it being easy to install and use, as that's something that isn't done much. For me, if it doesn't have Controlnet, upscaling, some kind of face detailer, and preferably regional prompting, I'm out.…

I've used SD on my device, but I found it worth it to pay for the hosted version because it's much faster.

Re: Easy Stable Diffusion XL in your device, offline

#46

After installation, it wouldn't run on my Windows machine unless I granted public and private network access. Kinda tripped up since it says "offlilne".

If you disconnected completely from the internet did it still run?

That is completely wrong to advertise it as “offline” if it requires an active internet connection to run.

Re: Easy Stable Diffusion XL in your device, offline

#49
post #7

The 16GB (base model) M2 Pro Mini, despite its overall awesomeness (running DiffusionBee.app / etc)... does not meet Minimum System Requirements (Apple Silicon requires 32GB RAM). So now I have to contemplate shopping for a new mac TWICE in one year (never happened before).

Currently using SDXL (through Huggingface Diffusers) on an M1 16GB Mac. Takes on average 4-5mins to generate an image. It's usable.

Good lord. I can get a 2048x2048 upscaled output from a very complex ComfyUI workflow on a 4090 in 15 seconds. This includes three IPAdapter nodes, a sampling stage, a three-stage iterative latent upscaler, and multiple ControlNets. Macs are not close to competitive for inference yet.
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