Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
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Updated
Dec 23, 2023 - JavaScript
Diffusion Bee is the easiest way to run Stable Diffusion locally on your M1 Mac. Comes with a one-click installer. No dependencies or technical knowledge needed.
A playground to generate images from any text prompt using Stable Diffusion (past: using DALL-E Mini)
💬 Personal AI application powered by GPT-4 and beyond, with AI personas, AGI functions, text-to-image, voice, response streaming, code highlighting and execution, PDF import, presets for developers, much more. Deploy and gift #big-AGI-energy! Using Next.js, React, Joy.
An extensible, easy-to-use, and portable diffusion web UI 👨🎨
A list of StableDiffusion styles and some notes for offline use. Pure HTML, CSS and a bit of JS.
Depth map library for use with the Control Net extension for Automatic1111/stable-diffusion-webui
sd-webui中文提示词插件、老手新手炼丹必备
AI Vtuber是一个由 【ChatterBot/ChatGPT/claude/langchain(本地/llm)/chatglm/text-generation-webui/闻达/文心一言】 驱动的虚拟主播【Live2D/UE/xuniren】,可以在 【Bilibili/抖音/快手/微信视频号/斗鱼/YouTube/twitch】 直播中与观众实时互动 或 直接在本地进行聊天。它使用文本转语音技术【edge-tts/VITS/elevenlabs/bark/VALL-E-X/睿声】生成回答并可以选择【so-vits-svc/DDSP-SVC】变声;通过特定指令协同SD进行画图。
Stable Diffusion web UI bilingual localization extensions. SD WebUI双语对照翻译插件
This extension is developed for AUTOMATIC1111's Stable Diffusion web UI that provides import/export options for parameters.
Anthony's QR Toolkit for Stable Diffusion WebUI
Stable Diffusion Browser for Windows, Mac, and Linux
Custom nodes that extend the capabilities of Comfyui
A Node.js client for Midjourney/Openjourney on Replicate.
Mac和Windows一键安装Stable Diffusion WebUI,LamaCleaner,SadTalker,ChatGLM2-6B,等AI工具,使用国内镜像,无需魔法。
AI 作图知识库
A discord bot to generate AI art from prompts using invokeAI
A Stable Diffusion webUI extension for manage trigger word for LoRA or other model
Access the latest AI models like ChatGPT, LLaMA, Diffusion, Hugging face, and beyond through a unified prompt layer and performance evaluation
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