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/Megapann_Illustrious")
prompt = "masterpiece, best quality, traditional media, watercolor \\(medium\\), monochrome, "
image = pipe(prompt).images[0]Megapann tyle - Illustrious
- Prompt
- masterpiece, best quality, traditional media, watercolor \(medium\), monochrome,
- Negative Prompt
- text, long body, lowres, cropped, lowres, jpeg artifacts, (artist name, watermark, username, english text, signature:1.5), simple background, conjoined, out of frame, out of frame, censored, bar censor,
- Prompt
- masterpiece, best quality, traditional media, watercolor \(medium\), monochrome,
- Negative Prompt
- text, long body, lowres, cropped, lowres, jpeg artifacts, (artist name, watermark, username, english text, signature:1.5), simple background, conjoined, out of frame, out of frame, censored, bar censor,
Model description
This is the style of Megapann. The style of a known manga artist.
Trigger: m39ap4nn,
Extra triggers for style: masterpiece, best quality, traditional media, watercolor (medium), monochrome,
Advised strength: 0.6 - 1.0
Trigger words
You should use m39ap4nn to trigger the image generation.
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calcuis/illustrious