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/Hassytant_Illustrious")
prompt = "masterpiece, best quality, traditional media, jaggy lines, sketch, "
image = pipe(prompt).images[0]Hashiguchi Takashi Style - Illustrious
- Prompt
- masterpiece, best quality, traditional media, jaggy lines, sketch,
- 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,
- 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 Hashiguchi Takashi (Hassystant).
I made this lora to try and reproduce the style of Hashiguchi Takashi (Hassystant). This lora works in my opinion better when using the following tags: 'traditional media, jaggy lines, sketch,' but isn't a must!
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: ht_style,
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 ht_style to trigger the image generation.
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