This model removes belly buttons. No keyword required.

How it was trained:

• Lora overtrained on an image

• Second lora overtrained on an edit of that image (in this case the belly button was inpainted out)

• Repeated the above a few times

• Merged all the loras trained on edited images into checkpoint_a

• Merged all the loras trained on unedited images into checkpoint_b

• Extracted lora from checkpoint_a - checkpoint_b

• Zeroed out non-required blocks in the lora using trial and error to reduce lora side effects on generated image

Used the following guide:

https://civarchive.com/models/98334/difflorafaceshadowtweaker

https://1lemon1lemon.netlify.app/2023-06-27_difflora/

Used this for training:

https://github.com/bmaltais/kohya_ss

Used the following command for overtraining loras (paths replaced with ...):

accelerate launch --num_cpu_threads_per_process=2 "train_network.py" --enable_bucket --pretrained_model_name_or_path="..." --train_data_dir="..." --resolution="768,768" --output_dir="..." --logging_dir="..." --network_alpha="16" --save_model_as=safetensors --network_module=networks.lora --unet_lr=0.001 --network_train_unet_only --network_dim=32 --output_name="01a" --lr_scheduler_num_cycles="1" --learning_rate="0.001" --lr_scheduler="constant" --train_batch_size="1" --max_train_steps="400" --save_every_n_epochs="1" --mixed_precision="fp16" --save_precision="fp16" --cache_latents --optimizer_type="AdamW8bit" --max_data_loader_n_workers="0" --bucket_reso_steps=64 --xformers --bucket_no_upscale

Used this A1111 extension for merging:

https://github.com/hako-mikan/sd-webui-supermerger