Satoshi Urushihara style

XL v16
battle_bakraid
about 1 year ago

for that late 80's early 90's anime aesthetic

Trained on Satoshi Urushihara artwork and OVA stills. All images were autotagged and cleaned up. Used SD1.5 as the base checkpoint for compatibility (in theory).


urushisato can be used to add extra emphasis
v15 adds ova to all animation frames & backgroundto all images without obvious human subjects.

Lora weight can depend on model used, it hasn't been overcooked so you can go beyond 1.0 for realistic models

models used in v15 examples: dosmix_pruned, ddosmix_v2 , realdosmix
models used in v7 examples:

  • realdosmix 39ddf7ce6e (unpruned 7gb version)

  • dosmix 3cf9e337ad (unpruned 7gb version)

  • rev fe39bfd93c (v3) & 6cf3223668 (v1)

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Info

Base model: SDXL 1.0
Trigger words:
ova

Version XL v16: 1 File

To download these files, please visit this page from a desktop computer.

About this version: XL v16

XL version trained on the same dataset as the 1.5 model

--pretrained_model_name_or_path="/workspace/train/sd_xl_base_1.0.safetensors" --vae="/workspace/train/sdxl_vae.safetensors" --caption_extension=".txt" --train_data_dir="/workspace/train/urushihara_satoshi" --output_name="xl_urushihara_satoshi_v16" --resolution="1024,1024" --output_dir="/workspace/train" --logging_dir="/workspace/logs" --save_model_as=safetensors --network_module=networks.lora --save_every_n_epochs="8" --network_dim=128 --network_alpha=64 --train_batch_size="4" --optimizer_type="Prodigy" --optimizer_args "betas=0.9,0.999" "decouple=True" "weight_decay=0.0001" "d0=1e-4" "d_coef=2" "use_bias_correction=True" "safeguard_warmup=True" --learning_rate="1.0" --text_encoder_lr=1.0 --unet_lr=1.0 --max_data_loader_n_workers="0" --max_token_length=225 --keep_tokens="1" --enable_bucket --bucket_reso_steps=64 --min_bucket_reso=512 --max_bucket_reso=2048 --max_train_epochs="32" --network_train_unet_only --random_crop --no_half_vae --mixed_precision="fp16" --save_precision="fp16" --xformers --lr_scheduler_type "CosineAnnealingLR" --lr_scheduler_args "T_max=10496"

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