Graphite VS InvokeAI

A tool which looks at this sort of thing which was mentioned here recently:

https://news.ycombinator.com/item?id=44118159

but which didn't seem to get much traction is:

https://pontus.granstrom.me/scrappy/

but it pretty much only works for JavaScript programmers and their friends (or folks interested in learning JavaScript).

Other tools which I'd like to put forward as meriting discussion in this context include:

- LyX --- making new layout files allows a user to create a customized tool for pretty much any sort of document they might wish to work on --- a front-end for LaTeX

- pyspread --- every cell being either a Python program or the output of a program, and the possibility of cells being an image allows one to do pretty much anything without the overhead of making or reading a file

- Ipe https://ipe.otfried.org/ --- an extensible drawing program, this really needs a simpler mechanism for that and I'd love to see a tool in the vector drawing space which addressed that --- perhaps the nascent https://graphite.rs/ ?

https://graphite.rs/ (still early in development) offers node-based editing.

2D Content Creation Tool (Open Source Photoshop?)

I was referring to the link posted to HN: https://graphite.rs/

I love Inkscape so much. I use it every other week to make presentations, slides or just simple graphics when I need it. I illustrated my thesis with it.

Another piece of 2D vector software that I use and recommend is Graphite [1]. It too is open source. Graphite has nodes and can be procedural in nature. Have them both in your graphics toolbox.

[1] https://github.com/GraphiteEditor/Graphite

There is also Graphite (https://graphite.rs/) which, unlike Gimp, has a modern architecture and very ambitious goals (Blender for 2D basically).

If you're interested in either computational geometry, layout/packing/constraints, or functional programming language concepts, those are all the math-related concepts that we're currently interacting with for Graphite, a 2D vector graphics editor that's aiming to become the next Blender (but for 2D instead of 3D). If that sounds interesting, I'd love to help get you started if you want to join our Discord and I can explain the math-related work that we need to get done. Cheers!

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