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

It would be great if you could share your works using this module with me!

Using colors as trigger words in the 1.0 version doesn't seem like a good idea, so version 2.0 uses other trigger words and increases the training steps.<pre><code>Folder 10_mix_gost: 66 images found
Folder 10_mix_gost: 660 steps
Folder 25_gost: 5 images found
Folder 25_gost: 125 steps
Folder 25_mix_axolotl: 30 images found
Folder 25_mix_axolotl: 750 steps
Folder 25_mix_blueD: 30 images found
Folder 25_mix_blueD: 750 steps
Folder 25_mix_bug: 31 images found
Folder 25_mix_bug: 775 steps
Folder 25_mix_coral: 29 images found
Folder 25_mix_coral: 725 steps
Folder 25_mix_creature: 30 images found
Folder 25_mix_creature: 750 steps
Folder 25_mix_flower: 31 images found
Folder 25_mix_flower: 775 steps
Folder 25_mix_frog: 30 images found
Folder 25_mix_frog: 750 steps
Folder 25_mix_J: 30 images found
Folder 25_mix_J: 750 steps
Folder 25_mix_octopus: 30 images found
Folder 25_mix_octopus: 750 steps
Folder 25_mix_preal: 30 images found
Folder 25_mix_preal: 750 steps
Folder 25_mix_sea slug: 30 images found
Folder 25_mix_sea slug: 750 steps
Folder 25_mix_shark: 29 images found
Folder 25_mix_shark: 725 steps
Folder 25_mix_snow: 30 images found
Folder 25_mix_snow: 750 steps
Folder 25_mix_spring: 31 images found
Folder 25_mix_spring: 775 steps
max_train_steps = 28275
stop_text_encoder_training = 0
lr_warmup_steps = 0

Here is the trainer command as a reference. It will not be executed:

accelerate launch --num_cpu_threads_per_process=2 "train_network.py" 
--pretrained_model_name_or_path="D:/ai/stable-diffusion-webui/models/Stable-diffusion/v1-5-pruned.safetensors" 
--train_data_dir="D:/ai/test/image" 
--resolution=768,768 --output_dir="D:/ai/test/model" 
--logging_dir="D:/ai/test/log" 
--network_alpha="128" 
--save_model_as=safetensors 
--network_module=networks.lora 
--text_encoder_lr=5e-5 
--unet_lr=0.0001 
--network_dim=128 
--output_name="25_preal_1v5_768_0001BD5e_NR128NA128off" 
--lr_scheduler_num_cycles="5" 
--learning_rate="0.0001" 
--lr_scheduler="constant" 
--train_batch_size="2" 
--max_train_steps="28275" 
--save_every_n_epochs="1" 
--mixed_precision="bf16" 
--save_precision="bf16" 
--seed="1234" 
--caption_extension=".txt" 
--cache_latents 
--optimizer_type="AdamW8bit" 
--max_data_loader_n_workers="1" 
--clip_skip=2 
--bucket_reso_steps=64 
--xformers 
--bucket_no_upscale</code></pre>

SD 1.5_2.0

SD 1.5_1.0

pearl creature