(PonyXL 32 in 1) Blue Lock (main characters)
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(PonyXL 32 in 1) Blue Lock (main characters)
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(PonyXL 32 in 1) Blue Lock (main characters)

PonyXL 32-in-1 character LoRA for Blue Lock. It has 32 main characters in dataset. It was tested on Autismmix (Confetti) and Ebara, it may also work on other Pony models.

Most of the time, character name (lowercase name on Wiki page) should be enough to retrieve the character, but sometimes you may need to add some more traits manually.

The training dataset is sourced from anime S1 screencaps and fan arts, processed by Waifuc and CCIP. Therefor, for less popular characters, due to lack of fan arts, they may suffer more style overfit from the anime so you may need to adjust LoRA weight accordingly.

This model is sourced from an external transfer (transfer address: https://civitai.com/models/756549/ponyxl-32-in-1-blue-lock-main-characters ）,if the original author has objections to this transfer, you can click，
Appeal
We will, within 24 hours, edit, delete, or transfer the model to the original author according to the original author's request

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Model Information

Original author：
akiseki
Model Type：
LoRA
Basic Model：
FLUX.1 D

PonyXL 32-in-1 character LoRA for Blue Lock. It has 32 main characters in dataset. It was tested on Autismmix (Confetti) and Ebara, it may also work on other Pony models.

Most of the time, character name (lowercase name on Wiki page) should be enough to retrieve the character, but sometimes you may need to add some more traits manually.

The training dataset is sourced from anime S1 screencaps and fan arts, processed by Waifuc and CCIP. Therefor, for less popular characters, due to lack of fan arts, they may suffer more style overfit from the anime so you may need to adjust LoRA weight accordingly.

This model is sourced from an external transfer (transfer address: https://civitai.com/models/756549/ponyxl-32-in-1-blue-lock-main-characters ）,if the original author has objections to this transfer, you can click，
Appeal
We will, within 24 hours, edit, delete, or transfer the model to the original author according to the original author's request