A RAG chatbot answers questions from your own documents: contracts, manuals, research notes, a codebase. It works by finding the relevant passages first and handing them to the model with your question. Run the whole thing locally and none of those documents leave your machine. That closes the data-egress risk but not the others — any document you index is untrusted input, … [Read more...] about Build a Private RAG Chatbot for Your Documents (2026): Open WebUI, Ollama and PrivateGPT
Local AI Video Generation in ComfyUI (2026): Wan 2.2, HunyuanVideo 1.5 and LTX-2.5
ComfyUI generates video as well as images, and in 2026 several open video models run on a single consumer GPU. Three families are natively supported: Wan 2.x from Alibaba, HunyuanVideo 1.5 from Tencent and LTX-2.5 from Lightricks. They differ a lot in memory needs, in output, and above all in licence. The upscale models you finish a render with have the same problem, and two of … [Read more...] about Local AI Video Generation in ComfyUI (2026): Wan 2.2, HunyuanVideo 1.5 and LTX-2.5
Best Local LLMs for Coding in 2026: Models by VRAM, Licence and Use
A local LLM for coding gives you an assistant that reads your code without sending it anywhere, never meters your usage, and keeps working offline. In 2026 the open models are good enough to be genuinely useful. The catch is that "best" depends on two things people often mix up: how much memory you have, and what kind of help you want. Tab autocomplete, chat about your code and … [Read more...] about Best Local LLMs for Coding in 2026: Models by VRAM, Licence and Use
Stable Diffusion Inpainting in 2026: Models, VRAM and a ComfyUI Workflow
Inpainting lets you regenerate one part of an image and leave the rest alone: remove an object, fix a hand, change a sky, or add something that wasn't there. Most Stable Diffusion inpainting guides still teach it with SD 1.5 in AUTOMATIC1111. Since then the model choice has changed. FLUX.1 Fill now does both inpainting and outpainting, and FLUX.1 Kontext edits images from a … [Read more...] about Stable Diffusion Inpainting in 2026: Models, VRAM and a ComfyUI Workflow
Tokens per Second Explained: What Sets Local LLM Speed (and How to Estimate It)
Tokens per second is the number everyone quotes for local LLM speed, and it's often misunderstood. It isn't one number: a model reads your prompt at one speed and writes its answer at another, and the two are limited by different parts of the hardware. This guide explains what tokens per second measures, what actually sets it, how to estimate it for your own machine, and how to … [Read more...] about Tokens per Second Explained: What Sets Local LLM Speed (and How to Estimate It)
llamafile in 2026: Run a Local LLM From a Single File
llamafile turns a local LLM into a single file you download and run. There's no installer, no Python environment and no separate model folder. The same file runs on Linux, macOS, Windows and the BSDs. It combines the llama.cpp inference engine with Cosmopolitan Libc, the portable C library that makes one executable work across operating systems. The project is now maintained by … [Read more...] about llamafile in 2026: Run a Local LLM From a Single File
How to Increase VRAM in 2026: What Actually Works on PC, Laptop and Mac
Search "how to increase VRAM" and most results give you a BIOS menu and a registry edit, as if graphics memory were a setting. Mostly it isn't. Whether you can get more VRAM depends on where the memory physically lives. On a graphics card it's soldered to the board. On an integrated GPU or an Apple Silicon Mac it's system RAM, and there you often can raise the share the GPU is … [Read more...] about How to Increase VRAM in 2026: What Actually Works on PC, Laptop and Mac
How to Run Stable Diffusion Locally in 2026: Hardware, VRAM and Setup
You can run Stable Diffusion locally on almost any modern GPU, and on Apple Silicon Macs. It's free, there's no per-image cost, and prompts and images never leave your machine. Once it is running, what the documentation says about prompts covers the 77-token limit and the weighting syntax that front ends parse differently. Most "how to run Stable Diffusion locally" tutorials … [Read more...] about How to Run Stable Diffusion Locally in 2026: Hardware, VRAM and Setup
How to Run Ollama as a Server (and in Docker): Network Access, Security and Tuning
Ollama is already a server. The moment it is running, it answers HTTP requests on 127.0.0.1:11434 — the desktop app, the command line and every tool that "connects to Ollama" are all just clients of that API. So the real questions are narrower: how to keep it running as a proper service, how to run it in Docker, and how to let other machines reach it without opening a model … [Read more...] about How to Run Ollama as a Server (and in Docker): Network Access, Security and Tuning
Open WebUI in 2026: Setup, Backends, RAG and the Licence Catch
Open WebUI is the chat interface most people put in front of a local model. It looks like ChatGPT, runs on your own machine, and talks to whatever engine you already have. The single most common misunderstanding about it is worth settling first: Open WebUI does not run the model, and it uses no VRAM of its own. It is a web app. Every gigabyte of memory in a local AI setup is … [Read more...] about Open WebUI in 2026: Setup, Backends, RAG and the Licence Catch