How to Run AI Locally in 2026: The 5-Minute Beginner Guide
Here is the short answer up front. The easiest way to run AI locally in 2026 is a plug-and-play local AI studio: you install one program, it finds or installs the AI engine for you, you pick a model from a menu, and you start typing. No command line, no Docker, no Python environments, no config files. If you can install a game, you can run AI on your own computer.
This guide walks you through exactly that, plus the honest hardware requirements nobody puts in their marketing, and what the harder paths (Ollama, ComfyUI, llama.cpp) actually get you if you ever outgrow the easy one.
What "Running AI Locally" Actually Means
When you use ChatGPT, your words travel to a data center, a model answers there, and the reply travels back. Running AI locally means the model itself, a single large file of "weights," sits on your hard drive and runs on your own processor or graphics card. Your prompts never leave your machine, there is no subscription, no rate limit, and it keeps working when your internet does not.
The models are free. Meta (Llama), Alibaba (Qwen), Google (Gemma), Mistral, DeepSeek and others publish open-weight models anyone can download. The only real question is which app you use to run them, and that choice decides whether setup takes five minutes or a weekend.
What You Need (The Honest Version)
You need less than you think for chat, and more than the hype suggests for video. The number that matters most is VRAM, the memory on your graphics card:
| Your hardware | What runs well | Experience |
|---|---|---|
| Any PC, 8 GB RAM, no GPU | Small chat models (1B to 3B) | Works on CPU, noticeably slower, fine for trying it out |
| GPU with 6 to 8 GB VRAM | 8B chat models, entry image generation | The sweet spot for most people: fast chat, solid quality |
| GPU with 10 to 12 GB VRAM | 12 to 14B chat, FLUX images, entry video | Noticeably smarter chat, fast photoreal images |
| GPU with 16 to 24 GB VRAM | 30B+ models, high-res image and video | Enthusiast territory, close to cloud quality |
A regular gaming PC from the last few years lands in the middle rows. If you only want to chat, even a laptop without a dedicated GPU gets you started.
The 5-Minute Setup (No Command Line)
Locally Uncensored is a free, open-source desktop app (AGPL-3.0, Windows and Linux; macOS is not ready yet) built around one idea: local AI should install like a normal program. It is a full local AI studio, meaning chat, a coding agent, image generation, and video generation live in one app instead of four separate tools.
- Step 1: Install one app. Download the installer from the releases page and run it. That is the entire technical part.
- Step 2: Let the wizard do the engine. On first launch, a setup wizard scans your PC for 12 local AI backends (Ollama, LM Studio, vLLM, KoboldCpp, Jan, llama.cpp, and more). Already running one? It connects. Nothing installed? One click and it downloads and installs the engine for you, with a progress bar.
- Step 3: Pick a model. The Model Manager knows your hardware and recommends models your machine can actually run, split into clear categories with size and VRAM listed on every card. One click downloads it.
- Step 4: Type. That is it. You are chatting with an AI that runs entirely on your own computer.
The getting-started guide has screenshots of every step if you want to see the whole flow before installing.
Which Model Should a Beginner Start With?
Do not overthink this; you can switch models any time with one click. Rules of thumb:
| Start with | Size | Why |
|---|---|---|
| Llama 3.1 8B | ~5.7 GB | The classic starting point: great all-round chat on 6 GB VRAM |
| Gemma 4 E4B | ~4 GB | Google's small model, surprisingly capable, runs on modest hardware |
| Qwen 3.6 (14B class) | ~9 GB | A clear step up in reasoning if you have 12 GB VRAM |
| DeepSeek R1 distill | varies | Shows its reasoning step by step, fun to watch think |
Many of these also come as abliterated variants, which are the same models with the trained-in refusal behavior removed. That is the "uncensored" part of our name: the model answers directly instead of lecturing you. It is optional; mainstream models are in the same menu.
The Harder Paths (And When They Are Worth It)
Honesty helps here, because you will see these names everywhere:
Ollama is an excellent engine, but by itself it is a command-line tool: you type ollama run llama3.1 in a terminal and chat in text. Most beginners bounce off this. Locally Uncensored actually uses Ollama as one of its backends and just puts a full studio on top, so you get the engine without the terminal.
LM Studio and Jan are genuinely easy chat apps and fine choices if text chat is all you want. They stop there, though: no image generation, no video, no coding agent, no phone access. LM Studio is also closed source. We wrote a full LM Studio alternatives comparison if you are weighing options.
ComfyUI is the powerhouse for local image and video generation, and it greets beginners with a spaghetti graph of nodes and wires. Locally Uncensored installs and drives ComfyUI for you behind a normal interface: you type a prompt and press Generate. More on that in our guide to easy local image generation.
llama.cpp, vLLM, KoboldCpp and friends are for people who enjoy flags and config files. If that is ever you, great: the app detects them all, so nothing you learn is wasted.
Images and Video, When You Are Ready
The same app handles the creative side. Open the Create tab, and it installs ComfyUI for you with one click, downloads image models like FLUX or Juggernaut XL that fit your GPU, and gives you a prompt box instead of a node graph. Text to image, image to image, and local video generation all work the same way: type, click, done. Image generation wants an NVIDIA GPU with 8 GB or more of VRAM; video is happiest with 10 to 12 GB.
Use It From Your Phone
One more thing that surprises people: your local AI does not have to stay at your desk. The app can serve a full mobile web app to your phone over your home network or an encrypted tunnel. You scan a QR code, enter a 6-digit passcode, and your phone becomes a remote for the AI running on your PC, from anywhere. Details in local AI on your phone.
FAQ
What is the easiest way to run AI locally?
Use a plug-and-play local AI studio app such as Locally Uncensored: one installer, a setup wizard that detects or installs the AI engine for you, and one-click model downloads. You never touch a command line, Docker, or a config file. Chat-focused apps like LM Studio and Jan are also easy, but they stop at text chat.
Can I run AI locally without a command line?
Yes. Modern local AI apps install like any normal program. Locally Uncensored auto-detects 12 local backends (Ollama, LM Studio, vLLM, and more) or installs one for you, so the entire setup is clicking buttons, not typing commands.
What computer do I need?
For text chat, any PC with 8 GB of RAM works with small models. A GPU with 6 to 8 GB of VRAM runs excellent 8B chat models fast. Image generation wants an NVIDIA GPU with 8 GB or more of VRAM, and local video generation wants 10 to 12 GB. You do not need a workstation to start.
Is running AI locally free?
Yes. Open-weight models like Llama, Qwen, Gemma, and Mistral are free downloads, and open-source apps like Locally Uncensored cost nothing. There is no subscription and no per-message cost.
Is local AI private?
Yes, that is the main reason to do it. The model runs on your own machine, so prompts and answers never leave your computer. Locally Uncensored ships with zero telemetry, and after the initial model download it works fully offline.
How is a local AI studio different from LM Studio or Ollama?
Ollama is a command-line engine, and LM Studio is a polished chat client. A local AI studio bundles the whole workflow: chat, a coding agent, image generation, video generation, and phone remote access in one app, with the engine set up for you automatically.
Start Here
Download the app, let the wizard set up the engine, one-click a model, and you are running AI locally before your coffee cools:
Grab the latest release from the releases page, browse the landing page for screenshots, or follow the step-by-step guide with pictures of every screen.
Locally Uncensored is AGPL-3.0 licensed and free to use. Built by PurpleDoubleD.