Qingxu_Arcane style
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Qingxu_Arcane style
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Manga

Qingxu_Arcane style

shuangcheng style

Trained on over 500 video screenshots from Arcane, covering characters, landscapes, props, etc., restoring the authentic Arcane art style. Character Lora is still in training (because character tags were not marked during labeling).

Recommended parameters:

Recommended weight: 0.8-1 (increase the weight for a stronger style)

Sampling steps: 30

Sampler: Euler

Sampling size: Around 1024 on one side, can be larger, no specific size requirements

Prompt guidance coefficient (cfg): 3.5

                                                                                                                                               

By using this model, you represent that you have read and agreed to the following user agreement:

You must not engage in or facilitate any behaviors that violate laws and regulations, including but not limited to:

Opposing the fundamental principles established by the Constitution.

Endangering national security, leaking state secrets, subverting state power, or undermining national unity.

Harming national honor and interests.

Inciting ethnic hatred or discrimination, or undermining ethnic unity.

Undermining national religious policies, promoting cults or feudal superstitions.

Spreading rumors, disturbing social order, or undermining social stability.

Disseminating **, gambling, violence, murder, terror, or inciting crimes.

Insulting or defaming others, or infringing upon others' legitimate rights.

Engaging in any behavior that violates the "Seven Bottom Lines."

Containing other content prohibited by laws and administrative regulations.

All consequences and responsibilities arising from any violations of laws and regulations regarding the generation, collection, processing, or use of your data shall be borne solely by you.

This model is sourced from an external transfer (transfer address: https://www.liblib.art/modelinfo/958067e7429b468ea3a00dec2b34e313?from=search&versionUuid=4acd01869d2e4824a0535755e588d10f ),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

Aceping

Aceping

Manga

Model Information

Frozen
Model Type:
LoRA
Basic Model:
F1基础 D
Trigger Words:
shuangcheng style
Resource Name:
models/loras/青旭_双城之战画风_v1.0.safetensors
MD5:
828400b5d615010483b807fad3ad91a5

shuangcheng style

Trained on over 500 video screenshots from Arcane, covering characters, landscapes, props, etc., restoring the authentic Arcane art style. Character Lora is still in training (because character tags were not marked during labeling).

Recommended parameters:

Recommended weight: 0.8-1 (increase the weight for a stronger style)

Sampling steps: 30

Sampler: Euler

Sampling size: Around 1024 on one side, can be larger, no specific size requirements

Prompt guidance coefficient (cfg): 3.5

                                                                                                                                               

By using this model, you represent that you have read and agreed to the following user agreement:

You must not engage in or facilitate any behaviors that violate laws and regulations, including but not limited to:

Opposing the fundamental principles established by the Constitution.

Endangering national security, leaking state secrets, subverting state power, or undermining national unity.

Harming national honor and interests.

Inciting ethnic hatred or discrimination, or undermining ethnic unity.

Undermining national religious policies, promoting cults or feudal superstitions.

Spreading rumors, disturbing social order, or undermining social stability.

Disseminating **, gambling, violence, murder, terror, or inciting crimes.

Insulting or defaming others, or infringing upon others' legitimate rights.

Engaging in any behavior that violates the "Seven Bottom Lines."

Containing other content prohibited by laws and administrative regulations.

All consequences and responsibilities arising from any violations of laws and regulations regarding the generation, collection, processing, or use of your data shall be borne solely by you.

This model is sourced from an external transfer (transfer address: https://www.liblib.art/modelinfo/958067e7429b468ea3a00dec2b34e313?from=search&versionUuid=4acd01869d2e4824a0535755e588d10f ),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