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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

#11

Post by philipov »

Auracle wrote: 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.…

You hit the nail on the head when you said it's good marketing, but go all the way. The thing you find odd tells you who they want to use their product; You're not their target audience. They are trying to convert people from using online-only services like Dall-E, not people who already use SD.

Re: Easy Stable Diffusion XL in your device, offline

#12

Post by blehn »

sophrocyne wrote: post #3

There are already a number of local, inference options that are (crucially) open-source, with more robust feature sets. And if the defense here is "but Auto1111 and Comfy don't have as user-friendly a UI", that's also already covered. https://github.com/invoke-ai/InvokeAI

No idea whether or not the UI is user-friendly, but the installation steps alone for InvokeAI are already a barrier for 99.9% of the world. Not to say Noiselith couldn't be open-source, but it's clearly offering something different from InvokeAI.

Re: Easy Stable Diffusion XL in your device, offline

#13

Post by myself248 »

ProllyInfamous wrote: post #2

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).

When choosing a machine with non-expandable RAM, you went with the minimum configuration? That's a choice, I suppose, but the outcome wasn't exactly hard to foresee.

Re: Easy Stable Diffusion XL in your device, offline

#14

Post by rgbrgb »

Just installed, this is very cool. Local AI is the future I want (and what I'm working on too). A few notes using it...

Pros:

- seems pretty self contained

- built in model installer works really well and helps you download anything from CivitAI (I installed https://civitai.com/models/183354/sdxl-ms-paint-portraits)

- image generation is high quality and stable

- shows intermediate steps during generation

Cons:

- downloads 6.94GB SDXL model file somewhere without asking or showing location/size. Just figured out you can find/modify the location in the settings.

- very slow on first generation as it loads the model, no record of how long generations take but I'd guess a couple minutes (m1 max macbook, 64GB)

- multiple user feedback modules (bottom left is very intrusive chat thing I'll never use + top right call for beta feedback)

- not open source like competitors

- runs 7 processes, idling at ~1GB RAM usage

- non-native UX on macOS, missing hotkeys you'd expect, help menu. electron app?

Overall 4/5 stars, would open again :)

Re: Easy Stable Diffusion XL in your device, offline

#16

Post by internet101010 »

sophrocyne wrote: post #3

There are already a number of local, inference options that are (crucially) open-source, with more robust feature sets. And if the defense here is "but Auto1111 and Comfy don't have as user-friendly a UI", that's also already covered. https://github.com/invoke-ai/InvokeAI

I switched to InvokeAI and won't go back to basic a1111 webui. I like how everything is laid out, there are workflow features, you can easily recall all properties (prompt, model, lora, etc.) used to generate an image, things can be organized into boards, and all off the boards/images/metadata are stored in a very well-designed sqlite database that can be tapped into via DataGrip.

Re: Easy Stable Diffusion XL in your device, offline

#19

Post by prepend »

Auracle wrote: 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 oddly found many cloud wrappers to stable diffusion. So I like the upfront on device/offline description.

It was weird when I was first playing with SD how many packages did severe phone home or vms or whatever instead of just downloading a bunch of stuff and running it.

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