InvokeAI VS openOutpaint

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

I've used OpenOutpaint to build up my base image. It lets you generate an image of any size tile by tile, allowing you to change the prompt as needed or regenerate a tile. It also lets you regenerate a region via img2img to ensure coherency.

Write a bug report: https://github.com/zero01101/openOutpaint/issues

Maybe i am wrong here, but since here is an extension already existing https://github.com/zero01101/openOutpaint why some people still use basic img2img? It can draw amazing masks, zoom-in and zoom-out, erasing the mask etc. Just try it out.

It was unique a great tool when It first came out. But Now I use OpenOutpaint extension for A1111 - https://github.com/zero01101/openOutpaint/wiki/Manual It a bit less comfortable to use, bit I can use it in A1111 and it's a plus. I also tried the StableART extension for Photohop - https://github.com/isekaidev/stable.art , I like the forkflow cuz it's in Photoshop and I am used to it interface and tools, it even forced me to upgrade my PS to latest one, but somewhy it generates worse quality images that A1111 and openOutpaint, and it has only basic A1111 functions. But I used it only for couple days, need to comapre more. :-)

OpenOutpaint comes as a standalone as well as an extension for AUTOMATIC1111.

there is one, but having my sister-in-law "beta test" it as someone who'd never heard of stable diffusion before, it really needs work ;)