OnnxDiffusersUI VS InvokeAI

Sounds like Automatic1111 doesn't work with your AMD RX570 so it uses your CPU instead. There's a guy that tried a few workarounds on his github page that might help but you basically need to buy a GPU made in the last 3 years that has ray tracing capability. https://github.com/azuritecoin/OnnxDiffusersUI

Onnx Diffusers UI

Its this one: https://github.com/azuritecoin/OnnxDiffusersUI It works properly except i can't convert models other than the default it comes with.

https://github.com/azuritecoin/OnnxDiffusersUI this seems to work pretty good for me, has quite a bit of features and has a CPU only mode, only problem with it is, it hogs a lot of ram

for windows the onnx ui:https://github.com/azuritecoin/OnnxDiffusersUI, or you can try and fenagle your way into installing automatic1111 on linux

Guide

I also have a 6800 and when I'm on Windows I mess around with this https://github.com/azuritecoin/OnnxDiffusersUI which is fine and works okay but yeah without ROCm it is very slow. I usually just dualboot into Linux if I want to spend more time generating things. It's just how it is for now with support for AMD, sadly.

Probably not, since I have no idea what you're talking about. I've just been using the models that InvokeAI (2.3, I only just now saw there's a 3.0) downloads for me [0]. The SD1.5 one is as good as ever, but the SD2 model introduces artifacts on (many, but not all) faces and copyrighted characters.

[0] https://github.com/invoke-ai/InvokeAI

I actually used the rocm/pytorch image you also linked.

I'm not sure what you're pointing to with your reference to the Fedora-based images. I'm quite happy with my NixOS install and really don't want to switch to anything else. And as long as I have the correct kernel module, my host OS really shouldn't matter to run any of the images.

And I'm sure it can be made to work with many base images, my point was just that the dependency management around pytorch was in a bad state, where it is extremely easy to break.

> Anyways, hopefully this PR fixes the immediate issue: https://github.com/invoke-ai/InvokeAI/pull/5714/files

It does! At least for me. It is my PR after all ;)

The data being flagged is not in that github repo, it's fetched from elsewhere and I don't fancy spending time looking for it. The alert is for 'Sirefef!cfg' which has been reported as a false positive with a bunch of other stable diffusion projects (https://www.reddit.com/r/StableDiffusion/comments/101zjec/trojanwin32sirefefcfg_an_apparently_common_false/, https://www.reddit.com/r/StableDiffusion/comments/xmhukb/trojan_in_waifudiffusion_model_file/, https://github.com/invoke-ai/InvokeAI/issues/2773 )

I haven’t tried it recently, but InvokeAI runs on Mac. Invoke. I used to run on my MacBook, but have since gotten a Win laptop.

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

https://github.com/invoke-ai/InvokeAI should work on your machine. For LLM models, the smaller ones should run using llama.cpp, but I don't think you'll be happy comparing them to ChatGPT.

Stable Diffusion. /r/stablediffusion There are many tutorials on how to set it up locally and use it. InvokeAI is the easiest way to set it up. https://github.com/invoke-ai/InvokeAI

InvokeAI