glonlas/stable-diffusion

The Stable Diffusion Dream Script lets you turn text descriptions into images right on your own computer. You type in a phrase like "a sunset over the mountains," and the tool generates a picture to match. Beyond creating images from scratch, it also lets you upload an existing photo or drawing as a starting point, so the generated image keeps the original's basic shape and layout. It's designed for anyone who wants to experiment with AI image generation locally, without relying on a web service. The tool gives you a few ways to work. The main interface is a command-line prompt that feels a bit like a chat bot: you type your prompt at a "dream>" prompt and it returns images. There's also a simple web interface you can run in your browser, and a notebook for running the code on Google Colab if your own machine isn't powerful enough. Because the underlying AI model only loads once when you start the program, generating additional images after that is quick. It includes several extra features that go beyond simple text-to-image. You can upscale images to higher resolution and fix blurry faces using optional add-on tools. You can give different parts of your prompt different weights, so you could ask for something that's 25% tabby cat and 75% white duck. You can save the prompt text inside the image's metadata so you can later look up exactly which words produced a given picture. And you can run a batch of prompts from a text file to generate many images at once. Anyone who wants to create custom AI art, prototype visual ideas, or explore generative imagery could use this. A game designer could quickly generate concept art for characters. A marketing founder could mock up visuals for a pitch deck. A hobbyist could experiment with different art styles. The tool also supports a form of personalization where you train the model on a few photos of your own subject, then use a special placeholder in your prompts to generate new images of that subject in different contexts. Notably, this is a community fork of the original Stable Diffusion project, meaning it's a version extended by independent contributors with extra features beyond the base release. The README describes it as rapidly evolving, with bugs and feature requests handled through GitHub. It runs on Linux, Windows, and potentially MacOS, and it requires a capable GPU for reasonable performance. Some advanced features, like upscaling and face restoration, need extra setup and separate downloads.