lucide VS stable-diffusion-webui

Here's my result, thanks again! Turns out yes you can put emoji in the file name. Haven't figured out a way to use SVG icons which would have been nice but I'll keep at it, and this is stellar anyway.

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

import type { FC } from "react"; import { useState } from "react"; const Menu: FC = function Menu() { const [open, setOpen] = useState(false); const handleClick = () => { setOpen(!open); }; // icons by Lucide: https://lucide.dev/ return (

{open ? ( path> svg> ) : ( path> svg> )} button>

• Homea> li>
• Abouta> li> ul> nav> div> ); }; export default Menu;

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.

* LLaVA model: I'll add more documentation. You are right Llava could not generate images. For image generation I don't have immediate plans, but checkout these projects for local image generation.

- https://diffusionbee.com/

- https://github.com/comfyanonymous/ComfyUI

- https://github.com/AUTOMATIC1111/stable-diffusion-webui

I would love to be able to have a native stable diffusion experience, my rx 580 takes 30s to generate a single image. But it does work after following https://github.com/AUTOMATIC1111/stable-diffusion-webui/wiki...

I got this up and running on my windows machine in short order and I don't even know what stable diffusion is.

But again, it would be nice to have first class support to locally participate in the fun.

In Auto1111, that just uses Image.blend. :)

https://github.com/AUTOMATIC1111/stable-diffusion-webui/blob...

I used SDXL in automatic1111 webui for both images. Now that I think about it, the procedure I described was how I made this one, but the one that looks like an illustration was done in two steps. I used the canny ControlNet as I said for the outer part of the logo to preserve the shape of the fonts, but I had to turn it off for the boot to give SDXL leeway to add detail and make it look more like a boot.

That said, please do learn coding and don't get discouraged when somebody says to learn PyTorch or recommends using a Jupiter notebook with no further information on how to translate the skill into images. I would highly recommend some short term goals. Get your feet wet by taking apart the UIs. The comfy API documentation is here and the A1111 API documentation is here. There is a difference in completeness, welcome to programming. Writing nodes or plugins is also a good way to jump into this world. Custom wildcard logic might be very attractive to you if you aren't the type that want to deal with a nested file structure to simulate logic.

Possibly Unprompted? https://github.com/AUTOMATIC1111/stable-diffusion-webui/discussions/8094

version: v1.6.1  •  python: 3.10.13  •  torch: 2.0.1+cu118  •  xformers: 0.0.20  •  gradio: 3.41.2  •  checkpoint: 6e8d4871f8