RUN THIS IN TURBOWARP!!! VVVVVVVVVVVVVVVVVVVVV https://turbowarp.org/1137019333 Read this for info VVVVVVVVVVV Diffusion is annoying to descibe, so here is chatgpt describing it: Diffusion in AI, especially in the context of diffusion models like Stable Diffusion, is a method used for generating images from noise. It works by gradually refining random noise into a meaningful image through a process inspired by how gases spread in the air. How AI Diffusion Works Forward Process (Noise Addition) A real image is gradually turned into pure noise by adding small random changes step by step. This process is like blurring an image until it's just static noise. Reverse Process (Denoising with AI) The AI learns how to reverse the noise step by step to recover the original image. It does this by training on thousands of real images and learning how they get noisy over time. When generating new images, the AI starts from random noise and then "denoises" it to create something meaningful. Text-to-Image (Conditioning with Prompts) If you give the AI a text prompt, it uses that as a guide while removing noise, shaping the final image to match the description. Scratch-Friendly Explanation Imagine you have a painting and you slowly scribble over it with random dots until it's just messy noise. Now, if you watch a time-lapse in reverse, you can slowly clean it up and recover the original painting. Diffusion models learn how to do this automatically and can even create new paintings from scratch just by reversing the noise in a smart way. Anyway its annoying
Me and a couple of ai books. :) #ai #chatgpt #aitraining #amazing
