Type
LORA
Temps de Publication
2023-03-20
Modèle Basique
SD 1.5
Mots Déclencheurs
rushia
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Introduction de version
# Training summary
This model was trained by using 1913 random sampled images for 10 epochs, with 10 iterations per epoch.
The following is an excerpt of some of the learning commands by sd-script for reference
train_network.py --pretrained_model_name_or_path="JosephusCheung/ACertainty" --prior_loss_weight=1.0 --enable_bucket --min_bucket_reso=384 --max_bucket_reso=1280 --train_batch_size=12 --learning_rate=1e-4 --text_encoder_lr 5e-5 --use_8bit_adam --xformers --mixed_precision=fp16 --save_every_n_epochs=10 --save_model_as=safetensors --clip_skip=2 --seed=42 --color_aug --flip_aug --network_module=networks.lora --resolution=768,512 --network_dim 256 --max_train_epochs 4 --shuffle_caption