Final

A different approach in the space of upscaling, Rather than upscaling the final image, Latent upscaling in the middle of the process can increase the details in an image significantly. I have implemented this idea in the comfy UI workflow and made an 8K image. This workflow is very good for beginners because i have added few useful notes in it. So feel free to use it and post your work and feedback.

面向新手，提供了五种常见的ControlNet预处理方法，帮助理解学习ControlNet的运作原理。改变最后的图片保存节点的所连节点，可获取不同的ControlNet预处理图以作二次处理。

I created this first workflow as a semi-beginner, I was inspired by things I saw online, particularly in tutorials on Civitai. I added descriptions of how it works in French and English. The goal is to do image to image in SDXL then upscale before processing in the samplet in order to improve the final result.

最新的FLUX大模型结合lora和Controlnet用于图片的不同风格转绘。 This workflow is all built on top of FLUX. Xlabs-flux-controlnetV3 is great. FLUX's lora is also great.The details are optimized through subsampling, and the final image is of very high quality. （这套工作流全是基于FLUX搭建的。Xlabs-flux-controlnetV3很棒。FLUX的lora也很棒。通过二次采样进行细节优化最终出图质量非常高。） TEST： Black Myth Wukong style repainted（黑神话悟空风格转绘） You need to upgrade to the latest Comfyui, and the nodes that appear can basically be installed directly in the manager（需要升级到最新的Comfyui，出现的节点基本都可以在manger里面直接安装。） flux： https://huggingface.co/black-forest-labs/FLUX.1-dev/tree/main Xlabs: https://github.com/XLabs-AI/x-flux controlnet: https://huggingface.co/XLabs-AI (v3) lora： https://civitai.com/models/681691 https://www.liblib.art/modelinfo/3945f0e21a4b4bb5965b4319d927dd4f?from=search https://www.liblib.art/modelinfo/f00b5b28b87b4935a99f651499495ffc?from=search Xlabs-lora： https://huggingface.co/XLabs-AI/flux-lora-collection/tree/main