Lobe Icons ported into Iconfiy

Popular AI / LLM Model Brand SVG Logo and Icon Collection. See them all on one page at lobehub.com/icons.
Contributions, corrections & requests can be made on their GitHub repository.

This enables you to use Lobe Icons in UnoCSS or any Iconify compatible scenario.

Note

This project is part of (and also associate to) the Project AIRI, we aim to build a LLM-driven VTuber like Neuro-sama (subscribe if you didn't!) if you are interested in, please do give it a try on live demo.

Installation

Pick the package manager of your choice:

ni @proj-airi/lobe-icons -D # from @antfu/ni, can be installed via `npm i -g @antfu/ni`
pnpm i @proj-airi/lobe-icons @iconify/utils -D
yarn i @proj-airi/lobe-icons @iconify/utils -D
npm i @proj-airi/lobe-icons @iconify/utils -D

UnoCSS usage

import { createExternalPackageIconLoader } from '@iconify/utils/lib/loader/external-pkg'
import { presetIcons } from 'unocss'

export default defineConfig({
  presets: [
    // Other presets
    presetIcons({
      scale: 1.2,
      collections: {
        ...createExternalPackageIconLoader('@proj-airi/lobe-icons'),
      },
    }),
  ],
})

Other side projects born from Project AIRI

• Awesome AI VTuber: A curated list of AI VTubers and related projects
• unspeech: Universal endpoint proxy server for /audio/transcriptions and /audio/speech, like LiteLLM but for any ASR and TTS
• hfup: tools to help on deploying, bundling to HuggingFace Spaces
• xsai-transformers: Experimental 🤗 Transformers.js provider for xsAI.
• WebAI: Realtime Voice Chat: Full example of implementing ChatGPT's realtime voice from scratch with VAD + STT + LLM + TTS.
• @proj-airi/drizzle-duckdb-wasm: Drizzle ORM driver for DuckDB WASM
• @proj-airi/duckdb-wasm: Easy to use wrapper for @duckdb/duckdb-wasm
• Airi Factorio: Allow Airi to play Factorio
• Factorio RCON API: RESTful API wrapper for Factorio headless server console
• autorio: Factorio automation library
• tstl-plugin-reload-factorio-mod: Reload Factorio mod when developing
• Velin: Use Vue SFC and Markdown to write easy to manage stateful prompts for LLM
• demodel: Easily boost the speed of pulling your models and datasets from various of inference runtimes.
• inventory: Centralized model catalog and default provider configurations backend service
• MCP Launcher: Easy to use MCP builder & launcher for all possible MCP servers, just like Ollama for models!
• 🥺 SAD: Documentation and notes for self-host and browser running LLMs.