|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/master-ai-image-generation-using-stable-diffusion/
课程评论：没有评论
课程名称：使用稳定扩散掌握AI图像生成 概述：人工智能图像生成是一个备受关注的领域，吸引了技术专业人员和希望创造自定义图像的其他领域人士。该技术基于先进的机器学习和计算机视觉技术，能够生成高质量的新图像。只需通过文本描述即可生成新图像，例如输入“在太空中阅读书籍的猫”，AI便能根据该描述生成相应的图像。近年来，这项技术引起了广泛关注，并预计将在未来几年持续增长。在众多工具中，稳定扩散（Stable Diffusion）因其开源、高效和能够生成高质量图像而广受欢迎。由于它是开源的，开发者们还创造了许多扩展，能够产生无限多样的图像风格。 在本课程中，学员将全面学习如何使用稳定扩散和Python编程语言创建新图像。课程分为六个部分： 第一部分：稳定扩散基础知识 - 理解技术工作原理并创建首个图像，学习主要参数以获得不同的结果，以及如何创建不同风格的图像。 第二部分：提示工程（Prompt Engineering） - 学习如何发送合适的文本，以便AI准确理解你想要生成的内容。 第三部分：训练自定义模型 - 学习如何使用自己的照片在不同环境中生成头像。 第四部分：图像到图像 - 除了通过文本生成图像外，还可以将图像作为起点，让AI生成新图像。 第五部分：图像修复 - 学习如何编辑图像，移除或交换对象，例如将狗替换为猫。 第六部分：ControlNet - 实施数字图像处理技术（边缘和姿势检测）以改善结果。 所有实现步骤将在Google Colab在线进行，使用GPU，无需强大计算机即可在几秒钟内获得惊人效果！课程包含超过50节课和6小时的视频学习内容。
The generation of images using Artificial Intelligence is an area that is gaining a lot of attention, both from technology professionals and people from other areas who want to create their own custom images. The tools used for this purpose are based on advanced and modern techniques from machine learning and computer vision, which can contribute to the creation of new compositions with high graphic quality. It is possible to create new images just by sending a textual description: you ask the AI (artificial intelligence) to create an image exactly as you want! For example, you can send the text "a cat reading a book in space" and the AI will create an image according to that description! This technique has been gaining a lot of attention in recent years and it tends to growth in the next few years.There are several available tools for this purpose and one of the most used is Stable Diffusion developed by StabilityAI. It is Open Source, has great usability, speed, and is capable of generating high quality images. As it is open source, developers have created many extensions that are capable of generating an infinite variety of images in the most different styles.In this course you will learn everything you need to know to create new images using Stable Diffusion and Python programming language. See below what you will learn in this course that is divided into six parts:Part 1: Stable Diffusion basics: Intuition on how the technology works and how to create the first images. You will also learn about the main parameters to get different results, as well as how to create images with different stylesPart 2: Prompt Engineering: You will learn how to send the proper texts so the AI understands exactly what you want to generatePart 3: Training a custom model: How about putting your own photos in the most different environments? In this section you will learn how to use your own images and generate your avatarsPart 4: Image to image: In addition to creating images by sending texts, it is also possible to send images as a starting point for the AI to generate the imagesPart 5: Inpainting - exchaning classes: You will learn how to edit images to remove objects or swap them. For example: remove the dog and replace it with a catPart 6: ControlNet: In this section you will implement digital image processing techniques (edge and pose detection) to improve the resultsAll implementations will be done step by step in Google Colab online with GPU, so you don't need a powerful computer to get amazing results in a matter of seconds! More than 50 lessons and more than 6 hours of videos!
