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

pearl creature

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>

Files with SHA256: 9293c36c0873fd1bd556530a6555e1d0c5b19f7d7be97209aeb6390251fdc164