|
所在平台: Udemy |
课程主页: https://www.udemy.com/course/understanding-flux-comfyui-workflows-for-design-explorations/
课程评论：没有评论
Coursera 课程总结：Introducing Flux ComfyUI Workflows For Design Explorations 本课程旨在介绍“Flux”生成式AI模型的理论与实践框架，重点利用ComfyUI进行实际操作，以支持设计探索。 **课程主要内容：** 1. **ComfyUI及Flux模型基础：** * ComfyUI的安装与配置。 * ComfyUI Manager的安装与使用。 * Flux相关AI模型、VAE和Clip模型的安装。 * Flux模型不同版本（Original / GGUF）的对比分析。 2. **Flux ComfyUI 工作流实践：** * **文本生成图像 (Text-to-Image) 工作流：** 学习如何使用Flux模型通过文本提示生成图像。 * **图像生成图像 (Image-to-Image) 工作流：** * Canny LoRa 工作流：利用Canny边缘检测进行图像风格转换或修复。 * Depth LoRa 工作流：利用深度信息进行图像生成。 * Redux 工作流：探索其他图像编辑和生成技巧。 * Inpainting 工作流：学习局部图像修复和替换。 * Outpainting 工作流：学习图像内容的扩展和填充。 **课程目标：** 本课程将教授学员构建各类Flux ComfyUI工作流的关键技术信息，使学员能够独立地设计和实现不同的工作流，从而有效地运用Flux模型进行各种设计探索。
With the Constant developments of various Generative AI models, high-quality AI models are approaching, such as the new Flux Model, moreover, it is necessary to provide a brief background on how to practically use this new powerful model for different purposes. This course introduces the theoretical and practical frameworks of the "Flux" GenerativeAI Model, focusing on the practical phases by specifically using ComfyUI. The Course is framed around two phases. First, it introduces general information on how to install ComfyUI, ComfyUI Manager, and also how to install the relevant Flux-related AI models, VAE, and Clip Models, as well as comparing differences between the existing Flux Models (Original / GGUF Versions). Afterward, the course dives into practical Flux workflows.The course highlights important technical information to take into account which are necessary for developing such Flux ComfyUI workflows, moreover, being able to construct different workflows for the learner.The Course will focus on constructing the following ComfyUI workflows:Text-to-Image Flux WorkflowImage-to-Image Flux Workflow (Canny LoRa)Image-to-Image Flux Workflow (Depth LoRa)Image-to-Image Flux Workflow (Redux)Image-to-Image Flux Workflow (Inpainting)Image-to-Image Flux Workflow (Outpainting)In conclusion, it is aimed that the course provides the learner with a practical framework to apply new workflows of the Flux model effectively in able to explore different design-related explorations
