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.