description: <p><strong>It would be great if you could share your works using this module with me!</strong></p>
modelVersions.availability: Public
modelVersions.baseModel: SD 1.5
modelVersions.baseModelType: Standard
modelVersions.description: <p>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.</p><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>
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name: pearl creature
tags: jellyfish 人像 閃亮 珍珠 水母