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所在平台: Udemy |
课程主页: https://www.udemy.com/course/generative-ai-with-stable-diffusion-and-comfyui/
课程评论：没有评论
课程名称：使用SDXL稳定扩散和ComfyUI学习生成性AI（更新版） 课程概述：本课程面向初学者，旨在深入探讨生成性AI，通过文本生成图像的新技术。ComfyUI是一个基于节点的高级用户界面，利用稳定扩散技术，允许用户创建自定义工作流程，如图像后处理或转换。该界面功能强大且模块化，适合高级用户，通过图形/节点/流程图的方式设计和执行复杂的稳定扩散管道，无需编写代码即可精确控制扩散过程。 ComfyUI作为一个强大的图形用户界面，具有先进的功能和用户友好的界面，能够轻松而准确地帮助用户实现目标。为了获得最佳性能，推荐使用至少4GB VRAM的Nvidia显卡，尽管没有Nvidia GPU 也能运行，但效果会非常慢。 稳定扩散是一种深度学习的文本到图像模型，主要用于根据文本描述生成详细图像，同时具备强大的组合和后处理潜力。提示词是使用稳定扩散和其他生成性AI模型的核心内容，而提示词工程则是与生成性AI模型进行自然语言交流的艺术。 课程将对理论轻描淡写，但始终将理论作为基础，聚焦于实用操作。课程鼓励关注细节和开放的思维方式，以促进生成性AI领域的学习和探索。最终，课程旨在提供软件的坚实基础知识，为进一步探索奠定基础。
For Beginner's who are looking to dive into Generative AI - making images out of text.UPDATED 2025ComfyUI is an advanced node-based UI that utilizes Stable Diffusion. It allows you to create customized workflows such as image post-processing or conversions. It is a powerful and modular stable diffusion GUI with a graph/nodes interface. This UI lets you design and execute advanced stable diffusion pipelines using a graph/nodes/flowchart-based interface. It is an extremely powerful Stable Diffusion graphical user interface and the graph/nodes interface is ideal for advanced users as it gives precise control over the diffusion process without any coding being required.ComfyUI is an amazing tool that can help you achieve your goals with ease and precision. Its advanced features and user-friendly interface make it a top choice for anyone looking to work with Stable Diffusion. Give it a try and see for yourself how it can help you achieve your goals!System RequirementsA graphics card from Nvidia with at least 4GB of VRAM hugely improves performance of this software. More video card VRAM than this is recommended. Running without an Nvidia GPU is possible but will be extremely slow.Stable Diffusion is a deep learning, text-to-image model that was released in 2022. It is primarily used to generate detailed images conditioned on text descriptions, but it also possesses powerful compositional and post processing potential.Prompts are at the core of using Stable Diffusion and other Generative AI models.Prompt engineering is the art of communicating with a generative AI model using natural language. Prompt engineering has been described as the number "one job of the future" at the World Economic Forum and as "an amazingly high-leverage skill and an early example of programming in a little bit of natural language" by Sam Altman, one of the founders of Open AI.It involves crafting input text that instructs the model on what to do and how to do it, as well as providing, cues, and supporting content to guide the model's output. Prompt engineering is a valuable skill for constructing intelligent outputs with generative AI, as it can unlock the potential of large language models (LLMs) that have been trained on massive amounts of data.The course will touch lightly on theory and focus on practicalities, but the theory is always a foundational aspect of the material explored here.Attention to detail and open-mindedness are essential in Generative AI and both are encouraged throughout the course. The course aims to provide a solid foundational understanding of the software that will act as a launchpad for further exploration.
