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.

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