lucide VS InvokeAI

Where --callout-color is the RGB value and --callout-icon is anything you pick from https://lucide.dev/

The theme editor’s interface allows you to configure themes for properties such as color, border radius, and mode (light or dark). You can also choose between two styles: default and new-york. The styles have unique components, animations, icons, and more. The default style has larger input fields and uses lucide-react icons and tailwindcss-animate for animations. The new-york style has smaller buttons, cards with shadows, and uses Radix Icons.

There's no first-class Lucide integration for Astro. But making a custom one isn't too hard.

for icons i'm using iconify (https://iconify.design/docs/icon-components/svelte/), but I'm looking forward svelte-icons (https://svelte-icons.vercel.app/) and lucide.dev looks as well

https://lucide.dev for Icons - i feel this are Premium Icon with SVG - compatiable with Svelte

I copied this from the Obsidian help page. I saved this into the snippet folder, refreshed it, and toggle the snippet on in the settings menu. "Lucide-folder-clock" is referencing these icons.

Train the model with https://lucide.dev/ and ask it to generate a few more?

Looks like it's just an accident: https://github.com/lucide-icons/lucide/pull/428#issuecomment...

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

As promised in my other comment, I did send a PR! https://github.com/invoke-ai/InvokeAI/pull/5714

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

And Fedora supports OCI containers as host images and also podman container images with just systemd to respawn one or a pod of containers.

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 )

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

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

Give InvokeAI a try.

https://github.com/invoke-ai/InvokeAI#hardware-requirements

For base tooling, things like:

https://huggingface.co/ (finding models and downloading them)

https://github.com/ggerganov/llama.cpp (llama)

https://github.com/cmp-nct/ggllm.cpp (falcon)

For interactive work (art/chat/research/playing around), things like:

https://github.com/oobabooga/text-generation-webui/blob/main... (llama) (Also - they just added a decent chat server built into llama.cpp the project)

https://github.com/invoke-ai/InvokeAI (stable-diffusion)

Plus a bunch of hacked together scripts.

Some example models (I'm linking to quantized versions that someone else has made, but the tooling is in the above repos to create them from the published fp16 models)

https://huggingface.co/TheBloke/llama-65B-GGML

https://huggingface.co/TheBloke/falcon-40b-instruct-GPTQ

https://huggingface.co/TheBloke/Wizard-Vicuna-30B-Uncensored...

etc. Hugging face has quite a number, although some require filling out forms for the base models for tuning/training.