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Easily Create eye-catching images for ヨークタウンⅡ Yorktown II(azur lane)

Just dream up what you want and we optimize to get great images at scale. ヨークタウンⅡ Yorktown II(azur lane) is perfect for character, azur lane, and yorktown ii images

Use the keywords yorktown II_a_v2,, bare shoulders, blue eyes, white hair, large breasts, Yorktown II(Azur Lane) costume, blue neck ribbon, to activate the custom training
About this model:

ヨークタウンⅡ Yorktown II (azur lane)

Base model: Anything V5

Training environment: pixai.art LoRA learning

Training images: 512×768 60 images

Trigger word: yorktown II_a_v2, bare shoulders, blue eyes, white hair, large breasts, Yorktown II(Azur Lane) costume, blue neck ribbon,

★Updated version of ver.1.0 with some adjustments. I clarified what was a bit blurry, and rearranged and re-added the ambiguous trigger words.

The recommended LoRA strength is around 0.7-0.8. Please adjust that area by yourself.

yorktown II_a_v2, bare shoulders, blue eyes, white hair, large breasts, Yorktown II(Azur Lane) costume, blue neck ribbon,
yorktown II_a_v2, bare shoulders, blue eyes, white hair, large breasts, Yorktown II(Azur Lane) costume, blue neck ribbon,









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Produce eye-catching images on ヨークタウンⅡ Yorktown II(azur lane) with our autoscale system. You can create thousands of images on top of our cluster to get images incredibly fast. No more waiting around on your local machine for results.

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Have a general idea you want to test, but its not coming out exactly as you want, use our mass generator import system to generate many variations to find the perfect image you are looking for. You can write in excel, csv, or any other tool that exports CSV.
Check out other related models: character, azur lane, yorktown ii

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Better looking images than anywhere else

Don't waste time playing around with settings and configurations. We have optimized and fine-tuned ヨークタウンⅡ Yorktown II(azur lane) to get the best results.

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Like the results you see with ヨークタウンⅡ Yorktown II(azur lane) and want to build your own on top of it? No problem, we provide infrastructure to easily build on top of it. Just give us a few images and we will build a new model on top of it. (This feature is in private beta)

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