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/octopath_illustrious")
prompt = "masterpiece, best quality, traditional media, graphite \\(medium\\),"
image = pipe(prompt).images[0]Octopath Traveler Style - Illustrious
- Prompt
- masterpiece, best quality, traditional media, graphite \(medium\),
- 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, grin,
- Prompt
- masterpiece, best quality, traditional media, graphite \(medium\),
- 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, grin,
Model description
The style of Octopath Traveller.
I made this lora to try and reproduce the style of Octopath Traveller. leaving out the quality tags will create a more smoother image if wanted. Lora is trained on concept art of the game and not art from the game itself!
For my positives I use: masterpiece, best quality, traditional media, graphite (medium),
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: octopathstyle,
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 octopathstyle to trigger the image generation.
Download model
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