Running AI models without internet

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How to Run AI Locally on Your PC

How to Run AI Locally on Your PC

Step-by-step guide for beginners using LM Studio and Stable Diffusion

💡 Why Run AI Locally?

Running artificial intelligence (AI) models locally on your PC opens up a world of privacy, control, and innovation. Instead of sending your queries or images to cloud services, everything runs on your machine. This gives you full control over the data, removes network latency, and even allows you to work offline. For anyone working with text generation, code writing, image generation, or research, having local AI tools is a game-changer.

Not only does it save time and data, but it also empowers you to explore advanced technology without relying on external platforms. Let’s walk through exactly how to do this, using LM Studio for text and Stable Diffusion for image generation.

🖥️ What You Need Before You Start

  • Operating System: Windows 10/11, macOS, or Linux
  • RAM: Minimum 8GB (16GB recommended)
  • Processor: Intel i5 / Ryzen 5 or better
  • Storage: SSD with at least 30GB free space
  • GPU: Optional but helpful for image generation (NVIDIA preferred)

Most recent laptops or desktops built in the last 5 years should be able to run basic models. Higher-end GPUs will let you use larger models and generate images faster.

🗣️ Text AI Example: Using LM Studio for Chat and Writing

LM Studio is a desktop application that allows you to run large language models (LLMs) directly on your PC. Think of it as your own offline version of ChatGPT or Claude.

📦 Step 1: Download and Install LM Studio

  1. Visit https://lmstudio.ai
  2. Download the correct version for your operating system (Windows/macOS/Linux)
  3. Install and launch the app

📥 Step 2: Download a Language Model

Once LM Studio is open:

  • Click "Explore Models"
  • Search for "LLaMA 3", "Mistral", or "Gemma"
  • Choose a small model if you have 8GB RAM, or a bigger one if your PC is powerful
  • Click "Download" and wait for it to install

💬 Step 3: Start Chatting

Click on the downloaded model, and you’ll see a chat box. Now, type anything! You can ask it to explain code, summarize news, help with assignments, or write articles—all offline.

🔧 Advanced Tip

LM Studio also lets you load models manually from Hugging Face and configure prompts for roleplay, instruction tuning, or coding help.

🎨 Image AI Example: Running Stable Diffusion Locally

Stable Diffusion is one of the most popular AI image generators, and you can run it on your PC using the AUTOMATIC1111 WebUI.

⚙️ Step 1: Install Requirements

📦 Step 2: Clone the Repo


git clone https://github.com/AUTOMATIC1111/stable-diffusion-webui.git cd stable-diffusion-webui

🚀 Step 3: Launch the App

python launch.py

This will download the base model and launch a local website at http://127.0.0.1:7860.

🖼️ Step 4: Generate Your First Image

  • Open your browser and go to http://127.0.0.1:7860
  • Enter a prompt like "a futuristic city in Africa, at sunset"
  • Click "Generate"
  • In seconds, your image will appear—created right on your computer!

You can also upload your own images for edits, inpainting, or use ControlNet for guided generation.

🧰 Useful Middleman Software

  • LM Studio: Friendly app for running text models offline
  • Ollama: Command-line tool for running local LLMs
  • Open WebUI: Browser-based interface for Ollama and others
  • ComfyUI: Node-based alternative to AUTOMATIC1111 for image workflows
  • InvokeAI: Another image generator with a great UI

🚀 Final Thoughts

Running AI on your own PC gives you complete freedom. You’re not limited by what a company allows, your data stays with you, and you can even build tools that work completely offline.

Whether you're a writer, developer, researcher, or student, using LM Studio and Stable Diffusion lets you unlock next-level productivity and creativity from your own computer. As long as your hardware meets the minimum, you can be part of the future—without ever needing an internet connection.

If you're in any place where network reliability is a challenge, running AI locally is the smartest move. Start today, and explore AI like never before.

© 2025 My Blog — Built for curious minds

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