import torch
from diffusers import DiffusionPipeline
# switch to "mps" for apple devices
pipe = DiffusionPipeline.from_pretrained("calcuis/illustrious", dtype=torch.bfloat16, device_map="cuda")
pipe.load_lora_weights("Ava2000/Yukiwo_Illustrious")
prompt = "masterpiece, best quality, (traditional media, jaggy lines, sketch, flat color), "
image = pipe(prompt).images[0]Yukiwo Style - Illustrious
- Prompt
- masterpiece, best quality, (traditional media, jaggy lines, sketch, flat color),
- Negative Prompt
- text, long body, lowres, cropped, lowres, jpeg artifacts, (signature, artist name, watermark, username, english text, signature:1.4), simple background, conjoined, out of frame, out of frame, censored, bar censor, monochrome, greyscale,
- Prompt
- masterpiece, best quality, (traditional media, jaggy lines, sketch, flat color),
- Negative Prompt
- text, long body, lowres, cropped, lowres, jpeg artifacts, (signature, artist name, watermark, username, english text, signature:1.4), simple background, conjoined, out of frame, out of frame, censored, bar censor, monochrome, greyscale,
Model description
The style of Yukiwo
I made this lora to try and reproduce the style of Yukiwo. I add '(traditional media, jaggy lines, sketch, flat color),' to my images (with extra strength) to get the best result!
For my positives I use: masterpiece, best quality,
And for my negatives: text, long body, lowres, cropped, lowres, jpeg artifacts, (signature, artist name, watermark, username, english text, signature:1.4), simple background, conjoined, out of frame, out of frame, censored, bar censor,
Trigger: yukiwostyle,
Advised strength: 0.6-1.0
I also use reForge with Adetailer (only the face model), CD Turner, FreeU and SelfAttentionGuidance (only for Illustrious), but they are not a must.
Trigger words
You should use yukiwostyle to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Ava2000/Yukiwo_Illustrious
Base model
KBlueLeaf/kohaku-xl-beta5