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    pearl creature - SD 1.5_2.0
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    It would be great if you could share your works using this module with me!

    Description

    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

    FAQ

    LORA
    SD 1.5

    Details

    Downloads
    1,866
    Platform
    CivitAI
    Platform Status
    Available
    Created
    4/5/2023
    Updated
    4/23/2026
    Deleted
    -
    Trigger Words:
    mix_\(spring\)
    spring
    mix_\(snowflake\)
    snowflake
    mix_\(shark\)
    mix_\(sea slug\)
    sea slug
    mix_\(preal\)
    preal
    mix_\(octopus\)
    mix_\(jellyfish\)
    mix_\(frog\)
    green
    transparent
    mix_\(flower\)
    mix_\(creature\)
    gray
    mix_\(coral\)
    mix_\(bug\)
    mix_\(sea blue dragon\)
    mix_\(axolotl\)
    mix_\(gost\)
    gost

    Files

    25_preal_1v5_768_0001BD5e_NR128NA128off.safetensors