Just Get get up

IPAdapter Advanced Dressing

3.5

(0607)MinorFix Background will be better in Magmix10 This workflow uses the SD 1.5 IPAdapter and OpenPose for the character pose. It requires the latest version of the IPAdapter Node and uses new weights "weak input" to keep most of the clothes' appearance (looks better than the ootd node in some situation). If you want to reproduce the results like the example picture, you can get the model you like from Civitai, provide the character pose reference, face image, clothes, and background to complete it in this workflow. The webp picture provided in Asset shows the effect of the reference picture under each type of weight. WD14 About editing WD14 tags. In FinalPrompt, if you see an unwanted label, you can add it to the blue grid (Unwanted) and add the required label to the red grid. Some users cannot use WD14, so they can bypass the WD14 node and enter prompt words that match their clothes and background in the red box. WD14 is not a necessary condition for the process, it just helps you with the prompt words, but there are often detection errors. Entering the prompts yourself can sometimes produce better results. == 这个工作流使用了SD1.5的IPAdapter与Openpose达成基本换衣的效果。它使用了IPAdapter的权重 "weak input"用以尽量维持衣服的外观 (某些情况下它比OOTD还要好,特别是在人物姿势与衣服完全不同的时候). 如果你想产生像是范例那样的结果,你可以从Civitai取得模型,提供背景、人物动作、衣服、支持上身与下身的衣服,以及背景。 WebP档案呈现IPAdapter在各种权重下,衣服的表现。 关于编辑WD14的标签。 在FinalPrompt中,若看到不要的标签可以将它加入蓝色的格位排除(Unwanted),并在红色的格位加入需要的标签。 有些使用者无法使用WD14,可将WD14节点bypass掉,并自己在红色格中,输入符合衣服与背景的提示词。 WD14并非流程的必要条件,只是协助你进行提示词,但常有侦测错误,自己输入提示有时候会有比较好的结果。 目前这个工作流无法呈现衣服的细节,但AI换衣的理想是在哪种人物姿势下都能够穿上相对应的衣服,这个做法只是让它比较像一些而已。
Ashen
Wan v2v with Upscaling and Smoothing 放大平滑處理

5.0

This is a merger of the following two workflows I'm using to combine the two workflows. One way I figured out how to get rid of the VRAM fullness was to add WanVideoBlockSwap. Since I don't use the GGUF model myself, I'm used to using the official version. So if you guys have your own favorite version, you can replace the nodes by yourselves. Below is the URL of two workflows that I referenced that gave me great ideas. Simple Video Interpolate and Upscale - v1.0 | Wan Video Workflows | Civitai Wan i2v with 720p smoothing - v1.1 | Wan Video Workflows | Civitai They gave me a lot of ideas, and then I improved them and merged them, so you can use them. If you come across a node that doesn't work, download it. That's the basics. English is not my native language, so I'm using DEEPL to translate it. -------------------------------------------------------------------------------- 這是我參考 以下兩個工作流 所合併起來的用法 我有想辦法解決VRAM滿的方式 就是添加了 WanVideoBlockSwap 因為我本身沒有使用GGUF模型 我個人習慣用官方版本 所以你們有自己喜歡用的版本 就自己替換節點 下面是我參考兩個工作流的網址 他們工作流給了我很大的想法 Simple Video Interpolate and Upscale - v1.0 | Wan Video Workflows | Civitai Wan i2v with 720p smoothing - v1.1 | Wan Video Workflows | Civitai 然後改善並且合併 你們可以使用看看 遇到無法使用的節點就去下載 這是基本 英文不是我的母語 所以我是用DEEPL翻譯的
CHU wally
Easy Flux Inpaint (Florence, SAM2 & SEGS Detailer)

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Index 0 Error: A couple of people have experienced an error "There's nothing in Index 0" and I had it happen to me today. Has the Florence Large model selected, worked fine for Inpainting an image, I then swapped to a different image and that's when the error happened. Changed the model to base, went through fine. Tried some other versions of Florence and the error came back. Changed image and went back to Large and no error. Seems like some versions of Florence are failing to pick up the prompt for what needs to be masked and giving empty data to the co-ordinates node, hence the error. So if you do get it, try base which seems to be the least affected by it, or try changing your mask prompt. Worst case scenario if none of that works is to switch to manual mask and try auto again with the next image you want to Inpaint. Update 4: Added an invert Mask node. If you put person into the Florence prompt for the auto masking and enable the invert mask node, you can use it to Inpaint the background. Update 3: Added a couple of LoRAModelLoaderOnly nodes. Update 2: Added the ModelSamplingFlux node, not quite sure how I missed that. In addition, swapped out the Load and Resize Image node for a standard load image node and also added an image switch node to the Manual mask group. A couple of times I switched to that but forgot to add the picture to the load image in the Florence group, so the result was not what I expected. Seemed silly having to load the same image twice, so I've put that with the switch to swap masks. Have both set to true if you're using Florence and SAM2 for auto masking, false if you need to mask something by hand.
Ashen