[[subsets]]
num_repeats = 50
keep_tokens = 0
caption_extension = ".txt"
shuffle_caption = false
flip_aug = true
is_reg = false
image_dir = "%USERPROFILE%/Documents/LoRA_Easy_Training_Scripts/Datasets/StSPP/dataset"

[noise_args]

[sample_args]

[logging_args]

[general_args.args]
pretrained_model_name_or_path = "%USERPROFILE%/Documents/stable-diffusion-webui/models/Stable-diffusion/novelailatest-pruned.ckpt"
mixed_precision = "fp16"
seed = 23
clip_skip = 2
max_data_loader_n_workers = 1
persistent_data_loader_workers = true
max_token_length = 225
prior_loss_weight = 1.0
xformers = true
cache_latents = true
max_train_epochs = 10
no_half_vae = true
vae = "%USERPROFILE%/Documents/stable-diffusion-webui/models/Stable-diffusion/novelailatest-pruned.vae.pt"

[general_args.dataset_args]
resolution = [ 512, 768,]
batch_size = 1

[network_args.args]
network_dim = 64
network_alpha = 12.0
min_timestep = 0
max_timestep = 1000

[optimizer_args.args]
optimizer_type = "Prodigy"
lr_scheduler = "cosine"
learning_rate = 1.0
max_grad_norm = 1.0
warmup_ratio = 0.05
min_snr_gamma = 7
scale_weight_norms = 0.8

[saving_args.args]
output_dir = "%USERPROFILE%/Documents/LoRA_Easy_Training_Scripts/Datasets/StSPP/output/Try 4"
save_precision = "fp16"
save_model_as = "safetensors"
output_name = "StS-PP-Try4-Long"
save_every_n_epochs = 1

[bucket_args.dataset_args]
enable_bucket = true
min_bucket_reso = 320
max_bucket_reso = 768
bucket_reso_steps = 64

[optimizer_args.args.optimizer_args]
weight_decay = "0.01"
betas = "0.9,0.999"
decouple = "True"
d_coef = "2"
use_bias_correction = "True"
safeguard_warmup = "True"

Edit Report
Pub: 18 Nov 2023 22:26 UTC
Views: 110