readme: ---
  tags:
  - text-to-image
  - stable-diffusion
  - diffusion-models-class
  - dreambooth-hackathon
  - wildcard
  ---
  
   # If you want to use this style , the prompt: wgz style
  **I trianed this weight by using dreambooth**  
  There are three models in the library, V1, V2, and beta    
  V1:WOLP.ckpt    
  V2:wgz v2.ckpt    
  BEAT :wgz beta.ckpt    
  
  
  Let me introduce these versions ,
  
  V1 is the earliest. use 512 resolution for training,
  
  Advantages: the generation logic is good, text2img is used well
  
  Disadvantages: There will be less screen details and less imitation of strokes. The whites of the eyes turn red easily.
  
  V2 adjusted the training set and used 768 resolution training
  
  Advantages: more details, better facial portrayal
  
  Disadvantages: Eyeballs tend to generate green, and the logic of text generation is not good, resulting in poor usability of text2img.
  
  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!     
  
  **v2**    
  Next, I will show the nice output of V2, which is made by using the img2img. I will also give the configuration I use.
  
  **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
  
  
  ![BETA](https://huggingface.co/hhyxnh/wlop-style-stable-diffusion-weight/resolve/main/v2_sample.png)  
  **BETA**  
  
  Below I will show the nice output of a beta. I like its abstract color swatches, but the production rate is not high
  
  ![BETA](https://huggingface.co/hhyxnh/wlop-style-stable-diffusion-weight/resolve/main/beta_sample.png)  
  
  I hope you guys enjoy this model and create works that satisfied
  
  
  Below is the introduction about V1,and some nice output by using V1   
  **v1**  
  
  --------------------------
  
  Training with the Elden ring Style ckpt （SD1.5）
    # link：[eldenring-ckpt](https://huggingface.co/nitrosocke/elden-ring-diffusion)
  # Training parameters：  
  steps： 12500 stpes    
  Learning rate：1e-6    
  int images number：about 100     
  class image number ：200 
  
  
  **There are some samples:**
  ![sample](https://huggingface.co/hhyxnh/wlop-style-stable-diffusion-weight/resolve/main/sample1.png)  
  ![sample](https://huggingface.co/hhyxnh/wlop-style-stable-diffusion-weight/resolve/main/sample2.jpg)
  
  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.
  
  Telegram: https://t.me/hhhyxnh      
  QQ:1602821649
  
  ** More pictures in the image folder  
  
  thank you.