HHHYXNH
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
中文社区链接 Chinese link：https://bbs.cgkit.cn/forum.php?mod=viewthread&tid=8593&page=1#pid51146
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
If you have any doubts or want to communicate, you can contact me,welcome
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
What is WLOP style version 2?
WLOP style version 2 is a highly specialized Image generation AI Model of type Safetensors / Checkpoint AI Model created by AI community user HHHYXNH. Derived from the powerful Stable Diffusion (SD 1.5) model, WLOP style version 2 has undergone an extensive fine-tuning process, leveraging the power of a dataset consisting of images generated by other AI models or user-contributed data. This fine-tuning process ensures that WLOP style version 2 is capable of generating images that are highly relevant to the specific use-cases it was designed for, such as anime, concept art.
With a rating of 4.33 and over 3 ratings, WLOP style version 2 is a popular choice among users for generating high-quality images from text prompts.
Can I download WLOP style version 2?
Yes! You can download the latest version of WLOP style version 2 from here.
How to use WLOP style version 2?
To use WLOP style version 2, download the model checkpoint file and set up an UI for running Stable Diffusion models (for example, AUTOMATIC1111). Then, provide the model with a detailed text prompt to generate an image. Experiment with different prompts and settings to achieve the desired results. If this sounds a bit complicated, check out our initial guide to Stable Diffusion – it might be of help. And if you really want to dive deep into AI image generation and understand how set up AUTOMATIC1111 to use Safetensors / Checkpoint AI Models like WLOP style version 2, check out our crash course in AI image generation.
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Latest version (V2): 1 File
About this version: V2
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
