krita-ai-diffusion VS InvokeAI

Adobe makes practical pipelines for creatives, not prototyping tools. ComfyUI is mostly for prototyping and ML nerds (I don't mean this in a bad way). There are more practical interfaces to get things done built on top of it, such as Krita Diffusion [1] and many others.

[1] https://github.com/Acly/krita-ai-diffusion

Krita has vector support too. In fact you can mix and match vector and raster layers.

It also has plugins that do content filling like this (and they do it offline): https://github.com/Acly/krita-ai-diffusion

But nothing is going to be 100% replacement and I'm not suggesting that, merely offering alternatives.

I here a lot of people really like Stable Diffusion for Krita (https://github.com/Acly/krita-ai-diffusion). It's pretty easy to set up, powerful, local, and totally free.

I have been playing a lot with Krita's SD plugin https://github.com/Acly/krita-ai-diffusion - that uses ComfyUI as it's API source.

Which plugin are you using? This https://github.com/Acly/krita-ai-diffusion

You could try the Krita plugin, so you have access to all those features: https://github.com/Acly/krita-ai-diffusion

I dunno what they used, but Krita with Krita AI is pretty easy to set up and use.

Also just Krita with the diffusion AI plugin: https://github.com/Acly/krita-ai-diffusion

You should install krita-ai-diffusion https://github.com/Acly/krita-ai-diffusion This gives Krita steroids...

You're correct if you're focused exclusively on the work surrounding building foundation models to begin with. But if you take a broader view, having open models that we can legally fine tune and hack with locally has created a large and ever-growing community of builders and innovators that could not exist without these open models. Just take a look at projects like InvokeAI [0] in the image space or especially llama.cpp [1] in the text generation space. These projects are large, have lots of contributors, move very fast, and drive a lot of innovation and collaboration in applying AI to various domains in a way that simply wouldn't be possible without the open models.

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

[1] https://github.com/ggerganov/llama.cpp

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