Comments (8)
There's an app for android already
https://github.com/ShiftHackZ/Stable-Diffusion-Android
It doesn't use sd-turbo afaik, SD1.5 ?
Pretty slow, like 2min per image on SD865 12GB (+4GB) at 512x and something like 30 steps
I don't really remember
You can't even choose another checkpoint, and it lacks a lot of settings
from maid.
That's painfully slow. Mobile GPUs/CPUs aren't good enough I guess.
from maid.
There's an app for android already https://github.com/ShiftHackZ/Stable-Diffusion-Android
It doesn't use sd-turbo afaik, SD1.5 ? Pretty slow, like 2min per image on SD865 12GB (+4GB) at 512x and something like 30 steps I don't really remember
You can't even choose another checkpoint, and it lacks a lot of settingsthanks for sharing, it runs pretty decent, I ran until 320x448 20 steps in less than 40 seconds, after that resolution it crashed(probably not enough ram)
It doesn't show the option for steps to me but it shows 1/8? How do you know that it's 20?
Also yeah thanks for sharing I didn't know that the app can generate locally.
Edit: nvm it shows in the details of the finished image that it's 20 steps
from maid.
Certainly would be interesting addition. How well does it run on mobile devices locally?
from maid.
Certainly would be interesting addition. How well does it run on mobile devices locally?
No idea. Its theoretically possible because like llama.cpp its can be run in an android terminal emulator. Its going to be a huge addition once I get around to it and there's other stuff that needs to be done to core.cpp before I cross that bridge.
from maid.
Certainly would be interesting addition. How well does it run on mobile devices locally?
I ran sd-turbo safetensors q4_0 on stablediffusion. cpp about 88 seconds per iteration, it's too much slow
from maid.
You can try implementing whisper.cpp too. It runs quite easily on my phone using the base model.
from maid.
There's an app for android already https://github.com/ShiftHackZ/Stable-Diffusion-Android
It doesn't use sd-turbo afaik, SD1.5 ? Pretty slow, like 2min per image on SD865 12GB (+4GB) at 512x and something like 30 steps I don't really remember
You can't even choose another checkpoint, and it lacks a lot of settings
thanks for sharing, it runs pretty decent, I ran until 320x448 20 steps in less than 40 seconds, after that resolution it crashed(probably not enough ram)
from maid.
Related Issues (20)
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- Failed to build llama.cpp HOT 2
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