physical violence

weapon violence

wide hips

revealing clothes

thick thighs

downblouse

convenient censoring

huge breasts

pg-13

corpses

suggestive

oral invitation

pg13

sexy

sexual situations

male nudity

disturbing

male swimwear or underwear

female swimwear or underwear

partial nudity

undressed

female nudity

breasts out

exposed female nipple

breast out

lingerie

male underwear

hair over breasts

female swimwear

gigantic breasts

no panties

graphic violence or gore

covered nipples

huge butt

strapless leotard

sitting on face

emaciated bodies

one breast out

nsfw

female underwear

nude

graphic male nudity

adult toys

illustrated explicit nudity

nudity

graphic female nudity

hentai

futanari

porn

sexual intent

genitals

peeing

vore

oral

sexual activity

anal

blowjob

dildo riding

incest

hanging

hate symbols

nazi party

white supremacy

diapers

scat

self injury

hate speech

urine

extremist

child on child

latex clothing

swimwear

bukkake

fellatio

cumshot

implied fellatio

eat_cum

cumdrip

cum in pussy

cum on face

after fellatio

cum on hair

cum on body

cum on tongue

cum on hands

cum in mouth

triple fellatio

autofellatio

fucked silly

cum on pussy

Flux version added for that late 80's early 90's anime aesthetic Trained on Satoshi Urushihara artwork and OVA stills.

resized with --new_rank 64 --save_precision bf16 --dynamic_method sv_fro --dynamic_param 0.96

Flux v3 Resize

experimental Flux dev version, 1286 images, joycaptioned, command line:<pre><code>accelerate launch --mixed_precision bf16 --num_cpu_threads_per_process 1 flux_train_network.py --pretrained_model_name_or_path /workspace/train/flux1-dev.sft --clip_l /workspace/train/clip_l.safetensors --t5xxl /workspace/train/t5xxl_fp16.safetensors --ae /workspace/train/ae.sft --cache_latents_to_disk --save_model_as safetensors --sdpa --persistent_data_loader_workers --max_data_loader_n_workers 2 --seed 42 --gradient_checkpointing --mixed_precision bf16 --save_precision bf16 --network_module networks.lora_flux --network_dim 64 --optimizer_type adamw8bit --learning_rate 0.00005 --network_train_unet_only --cache_text_encoder_outputs --cache_text_encoder_outputs_to_disk --highvram --max_train_epochs 16 --save_every_n_epochs 1 --dataset_config /workspace/train/urushihara.toml --output_dir /workspace/train --output_name urushihara3 --timestep_sampling shift --model_prediction_type raw --guidance_scale 1.0 --loss_type l2</code></pre>

Flux v3

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"

XL v16

this is a huge 384 dim LoRA, experimenting with adaptive learning rate note I tried resizing this LoRA to lower dims using the kohya_ss tools, but the quality results were too subjective (some images degrade, others are improved) training settings<ul><li>3137 training images</li><li>512,512 training resolution</li><li>16 epochs, 6,384 steps, 8 batches</li><li>network dim &amp; alpha 384</li><li>DAdaptAdam optimizer, constant scheduler</li><li>learning rate 1.0</li><li>bucketing &amp; random crop</li></ul>useful optional tokens<ul><li>urushisato tagged on all images for general style boost</li><li>ova tagged on all screencaps from animation</li><li>background tagged on any image that has no human subject</li></ul>

urushisato_v15

urushisato_v7

Satoshi Urushihara style