S1_Unclip Img2img：一个简单的Unclip模型高清出图工作流A simple Unclip model HD drawing workflow需要搭配专用的Unclip基础模型使用，下载地址：Need to use with a dedicated Unclip basic model, download URL：<a target="_blank" rel="ugc" href="https://huggingface.co/stabilityai/stable-diffusion-2-1-unclip/tree/main">stabilityai/stable-diffusion-2-1-unclip at main (</a><a target="_blank" rel="ugc" href="http://huggingface.co">huggingface.co</a><a target="_blank" rel="ugc" href="https://huggingface.co/stabilityai/stable-diffusion-2-1-unclip/tree/main">)</a><a target="_blank" rel="ugc" href="https://huggingface.co/comfyanonymous/wd-1.5-beta2_unCLIP/tree/main">comfyanonymous/wd-1.5-beta2_unCLIP at main (</a><a target="_blank" rel="ugc" href="http://huggingface.co">huggingface.co</a><a target="_blank" rel="ugc" href="https://huggingface.co/comfyanonymous/wd-1.5-beta2_unCLIP/tree/main">)</a><hr />S2_IPAdapter HD Fix将S1_Unclip Img2img工作流不满意的出图结果通过IPAdapter重绘，得到更好的结果或者更混乱的，但总体是更好的The unsatisfactory output of the S1_Unclip pix2pix workflow is redrawn through the IPAdapter to get better results or more chaotic results, but overall better<hr />S2_IPAdapter+Noise增加IPAdapterNoise节点，通过选择 shuffle类型让出图画面变得清晰，缺点是会减少画面细节以及与原图的相似性进一步降低，注意调节参数强度。适合在第一步融合图片时出现构图很好但是画面很糊的情况下使用，有时会有意外的惊喜Add IPAdapterNoise nodes to make the picture clear by selecting the shuffle type. The disadvantage is that the picture details will be reduced and the similarity with the original picture will be further reduced. Pay attention to the adjustment of parameter intensity. It is suitable for use in the case that the composition is good but the picture is very mushy in the first step of blending pictures, and sometimes there will be unexpected surprises.<hr />S2_IPAdapter+Lora添加了Lora，让改变来的更彻底一点，合理的选择是否启用IPAdapter Noise，以及控制Lora的使用数量和权重，让画面变得更好并具有你个人的审美Add Lora to make the change more thorough, make a reasonable choice whether to enable IPAdapter Noise, and control the amount and weight of Lora, so that the picture becomes better and has your personal aesthetic<hr />S3_IPAdapter Style transferS1_Unclip pix2pix生成的构图奇怪的图片中，其中一些还是挺有艺术价值的，但是后期修复过程中容易出现色彩混乱和灰暗的问题，使用Lora能一定程度上改善这个问题，但是不够便利，现在使用 IPAdapter style&amp;Composition SDXL 节点为这些混乱的图片增添优美的色彩和新的创意相比Lora，使用风格转移，对生成的图片造成的改变更大，想要更多的保留原始构图，也许需要添加另外的东西，比如controlnet，或者先从添加详细的clip positive condition开始S1_Unclip pix2pix generated pictures with strange composition, some of which are still quite artistic value, but the problem of color confusion and gray is easy to appear in the later repair process. Using Lora can improve this problem to a certain extent, but it is not convenient enough. Now use the IPAdapter style&amp;Composition SDXL node to add beautiful color and new creativity to these cluttered images.Compared to Lora, the use of style transfer causes more changes to the generated image, and to retain the original composition more, you may need to add something else, such as controlnet，or start by adding a detailed clip positive condition<hr />S3_IPAdapte + line art添加controlnet，让构图变得更稳定，尤其适合人像Add controlnet to make compositions more stable, especially for portraits<hr />S4_Img2img plus一个加强的图生图工作流，ipadapter虽好，不过缺点也明显，就是细节缺失比较明显，那就回归到基本的图生图上来吧，添加色彩调整节点来弥补图生图色彩问题An enhanced graphics workflow, ipadapter is good, but the shortcomings are obvious, that is, the lack of details is more obvious, then return to the basic img2img, add color adjustment nodes to make up for the graphics color problem

Vision-based Img2img Workflows

visionBasedImg2img_s2IpadapterNoise.zip

S2_IPAdapter + Noise

S4_Img2img plus

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