Stable Diffusion

In this section we will dive into ControlNet's depth map constraints and normal map constraints. Through this section, you will understand the basic concepts, roles, processors and their applications of depth map and normal map. I. Depth map constraints: exploring the depth information of a 3D scene 1. What is a depth map? A depth map is a two-dimensional image that represents the depth information of a 3D scene, where the value of each pixel represents the distance between a point in the corresponding scene and the camera. In Stable Diffusion, white color represents the near distance and black color represents the far distance. Second, the role of depth map Depth map is mainly used to regulate ......

In this section we will continue to delve deeper into ControlNet's line constraints capabilities, including Linework Mode, Graffiti Mode, and Line Mode. These modes will help us better understand and apply the role of line constraints in image generation. I. Lineart Lineart Mode: More Natural Edge Extraction In the previous content, we discussed the limitations of hard edge and soft edge modes. Hard edge modes tend to cause double line problems, while soft edge modes have weak constraints. To solve these problems, ControlNet version 1.1 introduces the Lineart mode, which enables more natural ......

In this section we will take an in-depth look at ControlNet's Line Drawing Hard and Soft Edge modes. Through this section, you will learn the basic principles of line constraints, the application of hard edge mode and soft edge mode, and their importance in real projects. I. What is Line Constraints? Line constraints are a way used in ControlNet to guide the results of Stable Diffusion, which affects the generation of the final image by extracting line features. The importance of line constraints in Stable Diffusion cannot be overstated, it allows us ......

In this section, we will take a closer look at the basic parameters of the ControlNet plug-in, which is the core of our business applications and the cornerstone of Stable Diffusion. In this section, we will get to know ControlNet as a whole and explain its general parameters in detail. Why do we need ControlNet? Before learning ControlNet, we need to understand what it solves for Stable Diffusion ......

In this section, we'll dive into the world of Stable Diffusion's plugins, learning how to download, install, update, uninstall, and backup and restore plugin status. Through this knowledge, you will be able to customize the various powerful features you want. First, the definition and importance of plug-ins First of all, let's clarify what is an extension plug-in. Extension plug-ins are programs written by unofficial people to expand the functionality of Stable Diffusion, to complete the functions that the basic Stable Diffusion can not be completed. This is made possible by the Sta ......

In this section, we will learn in-depth about image enlargement, face repair and batch generation in post-processing, as well as the acquisition and erasure of PNG image information. Through two hands-on cases, we will learn how to improve the clarity and visual effect of the product image, and how to repair blurred face photos. First, post-processing: picture enlargement and repair 1, picture enlargement In the early days of Stable Diffusion, the resolution of the pictures generated is often small and cannot meet commercial use. The first function of post-processing - picture enlargement - can help us enlarge the picture to 2K, 4K or even ......

In this section, we will delve into the knowledge related to graffiti repainting and uploading repainting masks, and use AI model dressing as a case study to help you learn these points comprehensively. First, graffiti repainting: functions and reasons for elimination First, let's explore graffiti repainting. Graffiti repainting is similar to local repainting in terms of parameters, but there is more than one mask transparency settings. However, this feature has been phased out in practice due to its inconvenience and contradictory functionality. Graffiti Repaint was designed to combine the functionality of local repainting and color change, but this combination resulted in the need to modify the color whenever repainting was performed ......

Today we will continue to explore the advanced techniques of localized repainting, including the mask mode, mask area content processing, knowledge about repainting area, and some notes on localized repainting. We will use the AI model face change as a real-world case to help you deeply understand and master the essence of local repainting. I. Masking Mode Masking mode is a technique we often use in local repainting, which is divided into two modes: repainting masked content and repainting non-masked content, corresponding to different demand scenarios. 1.Redrawing mask content Applicable to the need to change the model's background or clothes and other specific areas, while keeping the other parts unchanged. 2......

In this section, we will explore the magical world of graffiti and partial redrawing, learn how to change the color of the image through these techniques, add a logo, and even fix the flaws in the picture. I. Graffiti: a new dimension of image editing In the study of Tuchengtu, we often encounter the need to accurately change the color or details of a part of the image. Graffiti function came into being, which allows us to modify the reference image directly, and then the Tupelo function to achieve the color of the region to change. 1. Role and parameters of Graffiti The Graffiti interface is similar to the graph-generated image, but it works by directly modifying the pixels of the reference image ......

In this section, we'll dive into the Stable Diffusion graph-generation technique and learn how to transform a third-dimensional photo into a second-dimensional anime avatar. This is not only a technical challenge, but also a creative leap. If you've ever seen a 9-block-9 avatar conversion order on Taobao, on Pinduoduo, or on Idle Fish, then today's content will help you understand the workflow behind it and realize the initial avatar conversion. First, the origin and principle of the figure born of the figure Before we dive into the hands-on, let's first understand the origin and principle of the figure born of the figure. In the past, the text of the graphic learning, the text of the expression of information is limited ......

In this section, we'll dive into two powerful scripting tools: the XYZ Comparison Tool and the Cue Word Matrix. Through hands-on cases, we will explore the uses, parameters and landing scenarios of these scripting tools to help you more deeply understand and apply these tools. First, the XYZ control tool 1, uses and parameters XYZ control tool is a practical script that can help us compare the effect of picture generation under different parameters. This is very useful for teaching and self-learning the role of parameters. 2, axis type and axis value Before using the XYZ plug-in, we need to understand its axis type (X-axis, Y-axis ......

In this section, we will explore Stable Diffusion in depth in two important small models: Embedding (Text Inversion) and Hypernetworks. you will learn their definitions, download methods, installation addresses, methods of use and use of the scene. First, Embedding (Text Inversion) details 1, definition and importance Embedding (Embedding), also known as Text Inversion (Text Inversion), is a large model to adjust the input of ......