- Dec 4, 2022
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- 168
Looking for an A1111 setup assist; for others, found more SD tutorial
The tl;dr -
If someone around here has XP in such Python & PyTorch matters as described there, I would really appreciate any insight you have.
For those looking for some solid tutorials, I've posted about the
Bonus: I found this free resource
Update: it's going to take a bit to figure it out as it has NSFW yet I'm getting some text only images saying it's censored due to possible CSAM even though the prompts are tame and negative prompts has appropriate keywords to excluded. Uhg.
Update 2: Those r/sd mod or bot m'fkrs removed my post for asking for help without an explanation either. Glad I've a copy. Then they delete my ask for help on why they deleted "my ask for help". \o/
If someone has XP on dealing with this, please LMK. I'm not a complete noob with this is under-the-hood challenge given my daytime job is a Linux SysAdmin. Here's the nutshell version:
I can use A1111+SD but only with checkpoint having =< 4GB or so file sizes. I've stood up A1111+SD up on Mint Linux 22.1 (based on Ubuntu 24.02) - but dealing with this issue all weekend having narrowed down a memory constraint because of:
but python 3.11.7 isn't available from `ppa:deadsnakes/ppa` and then to install the PyTorch, it will likely install `torch-2.6.0+cpu.cxx11.abi-cp311-cp311-linux_x86_64.whl` being the latest when I need `torch-2.1.2+cpu.cxx11.abi-cp311-cp311-linux_x86_64.whl`.
And trying a Dockerfile containerized version appears to put me in the same place as they add the `ppa:deadsnakes/ppa` for use too.
Until I get past this barrier, there's no Pony XL V6 in my future. :-(
I've been able to post my issue in the less traffic'd A1111 GitHub discussions for those curious about the dirty details:
The tl;dr -
You must be registered to see the links
My A1111 works, but I'm limited to =<4 GB (filesize) checkpoint as it cannot manage the memory. The post has all the gritty details.If someone around here has XP in such Python & PyTorch matters as described there, I would really appreciate any insight you have.
For those looking for some solid tutorials, I've posted about the
You must be registered to see the links
. Over on in the r/StableDiffusion, their wiki has
You must be registered to see the links
and other
You must be registered to see the links
. If you're getting started, all three are great resources.Bonus: I found this free resource
You must be registered to see the links
that will do NSFW generations and has the Pony V6 (among other checkpoints). I'm still trying to figure it out. It should be helpful for those wanting to tinker with this stuff.Update: it's going to take a bit to figure it out as it has NSFW yet I'm getting some text only images saying it's censored due to possible CSAM even though the prompts are tame and negative prompts has appropriate keywords to excluded. Uhg.
Update 2: Those r/sd mod or bot m'fkrs removed my post for asking for help without an explanation either. Glad I've a copy. Then they delete my ask for help on why they deleted "my ask for help". \o/
If someone has XP on dealing with this, please LMK. I'm not a complete noob with this is under-the-hood challenge given my daytime job is a Linux SysAdmin. Here's the nutshell version:
I can use A1111+SD but only with checkpoint having =< 4GB or so file sizes. I've stood up A1111+SD up on Mint Linux 22.1 (based on Ubuntu 24.02) - but dealing with this issue all weekend having narrowed down a memory constraint because of:
Code:
WARNING:xformers:WARNING[XFORMERS]: xFormers can't load C++/CUDA extensions. xFormers was built for:
PyTorch 2.1.2+cu121 with CUDA 1201 (you have 2.6.0+cu124)
Python 3.11.7 (you have 3.11.11)
Please reinstall xformers (see https://github.com/facebookresearch/xformers#installing-xformers)
Memory-efficient attention, SwiGLU, sparse and more won't be available.
Set XFORMERS_MORE_DETAILS=1 for more detailsAnd trying a Dockerfile containerized version appears to put me in the same place as they add the `ppa:deadsnakes/ppa` for use too.
Until I get past this barrier, there's no Pony XL V6 in my future. :-(
I've been able to post my issue in the less traffic'd A1111 GitHub discussions for those curious about the dirty details:
You must be registered to see the links
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