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Updated October 9, 2023By AndrewCategorized as Workflow Tagged ControlNet, Img2img, Visual effect 59 Comments on How to generate a QR code with Stable Diffusion A recent Reddit post showcased a series of artistic QR codes created with Stable Diffusion. Those QR codes were generated with a custom-trained ControlNet model. Just like another day in the Stable Diffusion community, people have quickly
Updated December 9, 2023By AndrewCategorized as Tutorial Tagged Model, Txt2img, Use-case 46 Comments on How to generate realistic people in Stable Diffusion One of the most popular uses of Stable Diffusion is to generate realistic people. They can look as real as taken from a camera. In this post, you will learn the mechanics of generating photo-style portrait images. You will learn about prompts,
Developing a process to build good prompts is the first step every Stable Diffusion user tackles. This article summarizes the process and techniques developed through experimentations and other users’ inputs. The goal is to write down all I know about prompts so you can know them all in one place. Anatomy of a good prompt A good prompt needs to be detailed and specific. A good process is to look t
ControlNet is a neural network that controls image generation in Stable Diffusion by adding extra conditions. Details can be found in the article Adding Conditional Control to Text-to-Image Diffusion Models by Lvmin Zhang and coworkers. It is a game changer. You can use ControlNet to, to name a few, Specify human poses. Copy the composition from another image. Generate a similar image. Turn a scri
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