Stable Diffusion is a text-to-image AI model. It is trained on millions of image and text description pairs found on the internet. Because it has seen so much, the model understands what text description associates with what images. As a result, if you put in a prompt like “A Photo Read more…
CFG Scale Classifier Free Guidance scale is a parameter to control how much the model should respect your prompt. 1 – Mostly ignore your prompt.3 – Be more creative.7 – A good balance between following the prompt and freedom.15 – Adhere more to prompt.30 – Strictly follow the prompt. Below are Read more…
Two heads? Extra fingers? Here’s a guide to fix these common problems in Stable Diffusion Image Drawing. Two-head problems If you browse through AI image sites, it’s not unusual to see images with two heads connecting together in Stable Diffusion. It is usually caused by using portrait image size. Any Read more…
Build good prompts is the first step every Stable Diffusion user tackles. Anatomy of a good prompt A good prompt needs to be detailed and specific. A good process is to look through a list of keyword categories and decide whether you want to use any of them. The keyword Read more…
LoRA models are small Stable Diffusion models that apply tiny changes to standard checkpoint models. They are usually 10 to 100 times smaller than checkpoint models. That makes them very attractive to people having an extensive collection of models. What are LoRA models? LoRA (Low-Rank Adaptation) is a training technique Read more…
Stable Diffusion is a deep-learning model. We will dig deep into understanding how Stable Diffusion works. Stable Diffusion is a text-to-image model. Give it a text prompt. It will return an image matching the text. Diffusion model Stable Diffusion belongs to a class of deep learning models called diffusion models. They are generative models, Read more…
Many sampling methods are available in AUTOMATIC1111. Euler a, Huen, DDIM… What are samplers? How do they work? What is the difference between them? Which one should you use? You will find the answers in this article. We will discuss the samplers available in AUTOMATIC1111 Stable Diffusion GUI. What is Sampling? To Read more…
Sampling steps Generally speaking, the more steps you use, the better quality you’ll achieve. But you shouldn’t set steps as high as possible. It’s all about the results you are trying to achieve. First, let’s briefly introduce the steps parameter in Stable Diffusion and diffusion models in general. Diffusion models Read more…