Tech Blog

How to Run Stable Diffusion on Your Local Desktop Stable Diffusion is a powerful open-source AI model that generates images from text prompts (like “a castle floating in space”) using a process called diffusion. It was developed by Stability AI and quickly became one of the most popular AI image generators due to its high quality, open licensing, and flexibility. Key features: Generates highly detailed images from natural language prompts Can be fine-tuned or customized (e.g., trained on your own art style) Runs on both local hardware and cloud services Why Run Stable Diffusion Locally? While cloud-based services (like Midjourney or DreamStudio) are convenient, running Stable Diffusion locally offers several benefits: Privacy: Your prompts and generated images stay on your machine. Free: No tokens, subscriptions, or credits needed. Customization: Load different models, tweak settings,...

How to Create a Chatbot with Your Own Documents Using Ollama and OpenWebUI Introduction Would you like to build a chatbot that interacts with your own documents? In this guide, you’ll learn how to: Run Ollama with a local LLM (Large Language Model) Use OpenWebUI as your AI chat interface Enable RAG (Retrieval-Augmented Generation) for smarter, document-aware conversations using your own PDF files This example runs on Windows but is also compatible with macOS and Linux. Note for macOS users: It's recommended to run Ollama natively (not via Docker) to enable GPU acceleration, as Docker on macOS does not support GPU passthrough.  Windows Prerequisites Ensure your system meets the following requirements: Windows 10 or Windows 11 NVIDIA GPU (recommended, but not required) WSL2 (Windows Subsystem for Linux 2) Docker Desktop At least 16GB RAM (32GB or more recommended) Step 1: Run Olla...

What are Containers Containers are lightweight, portable units that package an application with its dependencies, libraries, and configuration files, allowing it to run consistently across different environments. Unlike virtual machines, which include an entire operating system, containers share the host OS kernel, making them more efficient in terms of resource usage and startup time. Containers isolate applications at the process level, enhancing portability and scalability, though they share the host kernel and do not provide full OS isolation like VMs. Key characteristics of containers include: Portability: Run consistently on any system with a compatible container runtime. Lightweight: Minimal overhead compared to VMs, as they don’t include a full OS. Isolation: Processes are isolated, preventing interference between applications. Scalability: Easily replicate and deploy containers for distributed systems. Containers are the fou...