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README.md
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license: openrail
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# If you want to use this style , the prompt:
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**I trianed this weight by using dreambooth**
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# link:[eldenring-ckpt](https://huggingface.co/nitrosocke/elden-ring-diffusion)
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# Training parameters:
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steps: 12500 stpes
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![sample](https://huggingface.co/hhyxnh/wlop-style-stable-diffusion-weight/resolve/main/sample1.png)
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![sample](https://huggingface.co/hhyxnh/wlop-style-stable-diffusion-weight/resolve/main/sample2.jpg)
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** More pictures in the image folder
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ps:I may update this weight when I am not so busy. Look forward to it, thank you.
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license: openrail
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# If you want to use this style , the prompt: wgz style
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**I trianed this weight by using dreambooth**
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There are three models in the library, V1, V2, and beta
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V1:WOLP
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V2:wgz v2
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BEAT :wgz beta
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Let me introduce these versions ,
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V1 is the earliest. use 512 resolution for training,
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Advantages: the generation logic is good, text2img is used well
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Disadvantages: There will be less screen details and less imitation of strokes. The whites of the eyes turn red easily.
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V2 adjusted the training set and used 768 resolution training
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Advantages: more details, better facial portrayal
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Disadvantages: Eyeballs tend to generate green, and the logic of text generation is not good, resulting in poor usability of text2img.
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BETA: A version of the training map that is relatively complex has poor logic, but sometimes satisfactory results can be obtained in the img2 img. Try if you want!
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**v2**
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Next, I will show the nice output of V2, which is made by using the img2img. I will also give the configuration I use.
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**parameters;**
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Prompt :wgz style,portrait of a beautiful women highly detailed,perfect femine face,Classical oil painting,by masamune shirow, by William-tae Kim
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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
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Steps: 20, Sampler: DPM++ 2S a Karras, CFG scale: 9.5, Denoising strength: 0.51, Mask blur: 4
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I hope you guys enjoy this model and create works that satisfied
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![BETA](https://huggingface.co/hhyxnh/wlop-style-stable-diffusion-weight/resolve/main/sample1.png)
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**BETA**
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Below I will show the nice output of a beta. I like its abstract color swatches, but the production rate is not high
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![BETA](https://huggingface.co/hhyxnh/wlop-style-stable-diffusion-weight/resolve/main/sample1.png)
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I hope you guys enjoy this model and create works that satisfied
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Below is the introduction about V1,and some nice output by using V1
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**v1**
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--------------------------
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Training with the Elden ring Style ckpt (SD1.5)
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# link:[eldenring-ckpt](https://huggingface.co/nitrosocke/elden-ring-diffusion)
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# Training parameters:
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steps: 12500 stpes
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![sample](https://huggingface.co/hhyxnh/wlop-style-stable-diffusion-weight/resolve/main/sample1.png)
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![sample](https://huggingface.co/hhyxnh/wlop-style-stable-diffusion-weight/resolve/main/sample2.jpg)
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PS:I try hard to achieve the painting style I want by using stable diffusion. I have tried a lot, with failures and successes. With my current technology, I can hardly find progress now. So this model will not be updated in a short time. If you have ideas or want to improve together, you can contact me,happy new year guys.
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Telegram:@hhhyxnh
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QQ:1602821649
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** More pictures in the image folder
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thank you.
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