Udemy MOOC / Non-credit 0

ComfyUI从入门到精通之Flux实现高清图的生成

Name: ComfyUI从入门到精通之Flux实现高清图的生成
Price: 99.99 USD
Availability: InStock

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

44/100

CourseAsk score

What the provider tells you: 24/45
Who stands behind it: 8/35
How complete the listing is: 12/20

Scores how much the provider publishes and who stands behind it — not how well it is taught.

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.

Artificial Intelligence #stable diffusion #image composition #comfyui #style transfer #flux model #high-definition images #AI-generated content #control networks #flux tools #image production

$99.99

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