[[subsets]]
caption_dropout_rate = 0.04
caption_extension = ".txt"
image_dir = "G:\Loras\dolekatILLUS"
name = "j2l"
num_repeats = 4
shuffle_caption = true

[train_mode]
train_mode = "lora"

[general_args.args]
max_data_loader_n_workers = 1
persistent_data_loader_workers = true
pretrained_model_name_or_path = "G:/BACKUP XOS TODO EL DISCO DURO/Models SSD/MODELS/illustriousXL_v01.safetensors"
vae = "G:/Derrian/sdxl_vae.safetensors"
sdxl = true
mixed_precision = "bf16"
gradient_checkpointing = true
gradient_accumulation_steps = 1
seed = 23
max_token_length = 225
prior_loss_weight = 1.0
xformers = true
cache_latents = true
cache_latents_to_disk = true
max_train_steps = 2050

[general_args.dataset_args]
resolution = 1024
batch_size = 2

[network_args.args]
min_timestep = 0
max_timestep = 1000
network_dim = 32
network_alpha = 32.0

[optimizer_args.args]
optimizer_type = "Prodigy"
lr_scheduler = "cosine"
loss_type = "l2"
learning_rate = 1.0
max_grad_norm = 1.0
min_snr_gamma = 5

[saving_args.args]
output_dir = "G:\Loras\!trained\!DORAS"
save_precision = "fp16"
save_model_as = "safetensors"
save_last_n_epochs = 1
save_every_n_steps = 300
output_name = "dolekatILLUS"

[noise_args.args]
multires_noise_iterations = 8
multires_noise_discount = 0.4

[bucket_args.dataset_args]
enable_bucket = true
min_bucket_reso = 512
max_bucket_reso = 2048
bucket_reso_steps = 64

[network_args.args.network_args]
algo = "locon"
conv_dim = 32
conv_alpha = 32.0

[optimizer_args.args.optimizer_args]
weight_decay = "0.1"
betas = "0.9, 0.99"
decouple = "True"
d_coef = "1.0"