Скачать с ютуб Stable Diffusion ControlNet All In One Model For SDXL - Best Ever Life Saver в хорошем качестве

Stable Diffusion ControlNet All In One Model For SDXL - Best Ever Life Saver

All-new ControlNet++ All-in-one models specifically designed for Stable Diffusion's XL models. About ControlNet++ All-in-one: https://thefuturethinker.org/controln... Huggingface Download : https://huggingface.co/xinsir/control... With the ControlNet++, you can now use one ControlNet file and collaborate with different ControlNet preprocessors like open pose, line art, depth map, Scribble, and more. It's a game-changer that allows you to handle various input image preprocessors with ease. In this video, I'll demonstrate how to use the ControlNet conditioner to handle specific ControlNet tasks and types of data. I'll walk you through the process of downloading and renaming the ControlNet files for smooth usage. We'll dive into ComfyUI and explore the powerful features it offers for ControlNet SDXL models. Throughout the video, I'll show you step-by-step how to apply ControlNet advance, connect different preprocessors, and experiment with various ControlNet models. We'll test open pose, depth map, Canny edge, and more to see how they integrate seamlessly with the ControlNet model. Additionally, I'll demonstrate how you can connect multiple ControlNets in a single workflow, allowing for even more customization and creative possibilities. We'll explore different combinations of ControlNet models, such as open pose, line art, and depth map, to create stunning and unique results. By the end of this video, you'll have a clear understanding of how to use ControlNet models effectively with SDXL and create incredible visual outputs. The ControlNet++ All-in-one models revolutionize the way we approach image preprocessing and open up new opportunities for stunning transformations. Make sure to hit that subscribe button and turn on the notification bell so you don't miss any future videos on the latest updates in the world of SDXL and ControlNet. Thank you for watching, and I'll see you in the next video. Stay creative! If You Like tutorial like this, You Can Support Our Work In Patreon:   / aifuturetech   Discord :   / discord