This is a LORA model for arm restraints trained on 30×5 artificial + internet data for z-image.It supports a total of 5 variations with an accuracy of about 80%. (The model is overfitted and sometimes fails to distinguish restraint types; variations may occur in face, body shape, and style.)Weight 0.6~0Trigger word (sentence)she is wearing a monoglove_armbinder which binds her arms behind her back.she is confined in metal_yoke which locks her neck and wrists in a thick pipe.she is confined,secured in dark oak wooden_yoke which locks her neck and wrists in a thick wood .she is wearing a latex bolero_straitjacket_front_tie which confines her arms crossed tightly over her chest .she is wearing a latex bolero_straitjacket_back_tie which confine and binds her arms tightly behind her back<hr />For DevsThe LORA training parameters are as follows.z-image LORA train adapter used<ul><li>rank64,</li><li>batch 6 ,</li><li>steps 6600,</li><li>lr 0.0002</li></ul>For v2:Training z-image is difficult, so I plan to try again after the base model is released.When creating synthetic data, I utilized @Joschek's LORA for post-processing some data. Thank you to @Joschek for creating such a great LORA.

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