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Wolverine (Logan) X-Men Evolution [LoRA]

57
628
3.2k
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Verified:
SafeTensor
Type
LoRA
Stats
30
121
Reviews
Published
Dec 28, 2024
Base Model
SDXL 1.0
Training
Steps: 2,392
Epochs: 13
Usage Tips
Strength: 0.8
Trigger Words
logan, xevosuit, 1boy, solo, male focus, mature male, short hair, dark blue hair, brown eyes, thick eyebrows, facial hair, stubble, sideburns, bodysuit, dark blue bodysuit, short sleeves, dark blue gloves, black belt
Hash
AutoV2
39C1D1EC78
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obuyb404's Avatar
obuyb404

LoRAs is trained on screenshots of X-Men Evolution (2000-2003) taken from the website fancaps.net

v1.0 BETA - (Only Logan) without Wolverine suits! The model can sometimes create black borders, this will be fixed in the full version! LoRA is trained on 230 screenshots

v1.0 - There are no more black borders, a little more sharpness and fewer JPEG artifacts. There are Wolverine first and second suit. LoRA is trained on 480 screenshots

v1.1 - The main difference from v1.0 is that I split the data and created several LoRAs, the previous version was something like all in one, but it seems to me it was not a very good idea. I changed the captions a bit and made almost no changes to the images.

Logan - (Only Logan) Only Logan without the Wolverine suits

Logan Lite - (Only Logan) Lite - Only Logan in dark blue t-shirt and brown jacket without cowboy hat (The dataset has been reduced by almost half)

Suit 1 - (First Suit) Only Wolverine in first suit, LoRA was not trained on images of Wolverine without a mask!

Suit 1+U - (First Suit+Unmasked) Only Wolverine in first suit + Images of Wolverine without a mask

Suit 1+L - (First Suit+Logan) Only Wolverine in first suit + Images of Wolverine without mask and images of Logan to enhance the creation of Wolverine without Mask

Suit 2 - (Second Suit) Only Wolverine in the second suit, without images of Logan

Suit 2+L - (Second Suit+Logan) Only Wolverine in the second suit and images of Logan

Preview generated without using ADetailer & Hires. fix

Recommended LoRA Strength (Weight): 0.8-0.9 - 0.7-0.8 BETA