Generate thick painting style images similar to wlop.Trying to keep the original author's styleDetailed description is in the huggingface.below I will briefly describe the features of this version1. 768 resolution is used for training, V1 is 512 ,so V2 will create more details. In v2 ,If the resolution settings is too small(below 768*768), the results will not be great.2. Maybe due to the influence of training set,in V2, the logic of text2img is poor than V1. If you want to use text2img , you can try the V1, or use text2img then use img2img to improve quality3. this model focuses on the generation of portraits. I have not trained for grand scenes. Too many elements are easy to cause training mismatch.I will give a typical parameter. The quality in img2img will be good***Too low resolution settings will affect the generation of head details. If you want to generate a bust,please set higher resolution .Style word: wgz styletypical parameters;Prompt :wgz style,portrait of a beautiful women highly detailed,perfect femine face,Classical oil painting,by masamune shirow, by William-tae KimNegative prompt: old,men,two poeple,Three dimensional facial features,deep shadows on the five senses,tall nose,Eye shadow,[High bridge], [narrow nose],Deep orbital fossaSteps: 20, Sampler: DPM++ 2S a Karras, CFG scale: 9.5, Denoising strength: 0.51, Mask blur: 4I hope you guys enjoy this model and create works that satisfied

WLOP STYLE SD 1

Generate thick painting style images similar to wlop.Trying to keep the original author's styleThis version is the V2, the V1 link: <a target="_blank" rel="ugc" href="https://huggingface.co/hhyxnh/WLOP-style_stable_diffusion">https://huggingface.co/hhyxnh/WLOP-style_stable_diffusion</a>Detailed description is in the huggingface.below I will briefly describe the features of this version1. 768 resolution is used for training, V1 is 512 V2 will create more details. However, if the resolution is too small(below 768*768), the results will be bad2. Maybe due to the influence of training set,in V2, the logic of text2img is poor than V1. If you want to use text2img , you can try the V1, or use text2img then use img2img to improve quality3. this model focuses on the generation of portraits. I have not trained for grand scenes. Too many elements are easy to cause training mismatch.I will give a typical parameter. The quality of image to image will be goodStyle word: wgz styletypical parameters;Prompt :wgz style,portrait of a beautiful women highly detailed,perfect femine face,Classical oil painting,by masamune shirow, by William-tae KimNegative prompt: old,men,two poeple,Three dimensional facial features,deep shadows on the five senses,tall nose,Eye shadow,[High bridge], [narrow nose],Deep orbital fossaSteps: 20, Sampler: DPM++ 2S a Karras, CFG scale: 9.5, Denoising strength: 0.51, Mask blur: 4I hope you guys enjoy this model and create works that satisfiedIf you have any doubts or want to communicate, you can contact me,welcomeTelegram:@hhhyxnh

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