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ComfyUI从入门到精通之Flux实现高清图的生...
ComfyUI从入门到精通之Flux实现高清图的生成
Udemy
MOOC / Non-credit
USD 99.99
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About this course
系列课程目标本课程为ComfyUI从入门到精通的第八章节,这部分内容都是基于Flux来生成高清图和高清内容效果课程适用人群ComfyUI 入门基础学员熟悉Stable Diffusion WebUI 并且有一定了解的学员希望完成文生图工作人员AIGC从业者希望完成图生图工作人员本章节具体内容:1.ComfyUI 低显存应用Flux 模型2.ComffyUI的Flux中Rdux模型3.ComfyUI的第三方常规Lora4.ComfyUI的XLabs的ControlNet5.Instantx 的ControlNet模型进行构图6.ComfyUI的Jaserpa的ControlNet7.基于ComfyUI的Flux IPadapter实现风格迁移效果8.ComfyUI实现基于Pulid的换脸效果9.Nachaku的成图效果10.ComfyUI 调用Kontext实现云端成图效果11.ComfyUI实现Flux换脸操作12.ComfyUI的Flux利用Lora移除对象13.Flux结合Ace++节点进行图片内容修改与生成14.OPenFlux的应用15.ComfyUI实现种子数自动变更16.Flux实现高清放大功能17.Flux实现简单图生图和局部重绘功能18.FluxTool的官方工具与模型19.ComfyUI的Flux Fill模型实现Inpaint和OutPaint20.ComfyUI的Flux深度图和Canny图21.Flux的标准成图&GGUF22.ComfyUI基于图片集进行Lora训练23.ComfyUI Flux 本地部署Kontext 实现优化成图
What you'll learn
Understand the use of low-memory applications with the Flux model in ComfyUI.
Implement ControlNet models for advanced image composition.
Utilize style transfer techniques effectively using Flux IPadapter.
Skills you'll gain
stable diffusion
image composition
comfyui
style transfer
flux model
high-definition images
AI-generated content
control networks
flux tools
image production
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