Graphite VS InvokeAI

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!

Not sure which web-based spreadsheet app you're talking about, because there are many that do use these frameworks. Here's a PS/AI clone built with a Svelte frontend: https://graphite.rs

Wanted to contribute to a good Rust-based project last week, started searching and found a good Reddit thread featuring several great projects. Looked at and found Graphite. I liked the concept though I know almost nothing about graphic design.

I'm currently trying to decide on the SD server to deploy with Graphite, both for running locally (with Tauri desktop builds) and for us to host on a server for users.

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