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    WLOP style version 2 - V2
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    Generate thick painting style images similar to wlop.Trying to keep the original author's style

    Detailed description is in the huggingface.

    below I will briefly describe the features of this version

    1. 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 quality

    3. 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 style

    typical parameters;

    Prompt :wgz style,portrait of a beautiful women highly detailed,perfect femine face,Classical oil painting,by masamune shirow, by William-tae Kim

    Negative 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 fossa

    Steps: 20, Sampler: DPM++ 2S a Karras, CFG scale: 9.5, Denoising strength: 0.51, Mask blur: 4

    I hope you guys enjoy this model and create works that satisfied

    Description

    Generate thick painting style images similar to wlop.Trying to keep the original author's style

    This version is the V2, the V1 link: https://huggingface.co/hhyxnh/WLOP-style_stable_diffusion

    Detailed description is in the huggingface.

    below I will briefly describe the features of this version

    1. 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 bad

    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 quality

    3. 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 good

    Style word: wgz style

    typical parameters;

    Prompt :wgz style,portrait of a beautiful women highly detailed,perfect femine face,Classical oil painting,by masamune shirow, by William-tae Kim

    Negative 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 fossa

    Steps: 20, Sampler: DPM++ 2S a Karras, CFG scale: 9.5, Denoising strength: 0.51, Mask blur: 4

    I hope you guys enjoy this model and create works that satisfied

    If you have any doubts or want to communicate, you can contact me,welcome

    Telegram:@hhhyxnh

    FAQ

    Checkpoint
    SD 1.5

    Details

    Downloads
    1,278
    Platform
    SeaArt
    Platform Status
    Available
    Created
    4/2/2024
    Updated
    9/24/2025
    Deleted
    -
    Trigger Words:
    wgz style

    Files

    Available On (1 platform)

    Same model published on other platforms. May have additional downloads or version variants.