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/Akableak_Illustrious")
prompt = "masterpiece, best quality, traditional media, sketch, jaggy lines, "
image = pipe(prompt).images[0]Akableak Style - Illustrious
- Prompt
- masterpiece, best quality, traditional media, sketch, jaggy lines,
- 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,
Model description
The style of Akableak.
I made this lora to try and reproduce the style of Akableak.
Illustrious v3
Learned some new tricks and redid the lora, with the same dataset from v2. This is the definitive version!
Illustrious v2
The new improved version, with a better strength and style adherence. It is also made with a new dataset, because I lost the original set. So prompts may differ from before. The prompting is the same as version 1 below.
Illustrious v1
For all versions I recommend you use: masterpiece, best quality, amazing quality, very aesthetic, high resolution, in your prompt and I myself am using the following negative prompt: text, abstract, glitch, deformed, mutated, ugly, disfigured, long body, lowres, bad anatomy, bad hands, missing fingers, extra digit, fewer digits, cropped, lowres, (worst quality, bad quality:1.2), bad anatomy, jpeg artifacts, signature, watermark, username, signature, simple background, conjoined,
This LoRa is trained on Illustrious 0.1, but I made the above showcase images in different checkpoints, because their style was more to my liking.
Trigger: akabl3akstyle,
Advised strength: 0.6-1.0
Trigger words
You should use akabl3akstyle to trigger the image generation.
Download model
Download them in the Files & versions tab.
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Model tree for Ava2000/Akableak_Illustrious
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KBlueLeaf/kohaku-xl-beta5