[[subsets]]
num_repeats = 25
caption_extension = ".txt"
shuffle_caption = true
flip_aug = false
is_reg = false
image_dir = "E:/Everything artificial intelligence/loradataset\\15_ohw fkey"
keep_tokens = 0

[noise_args]

[sample_args]

[logging_args]

[general_args.args]
pretrained_model_name_or_path = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Stable-diffusion/animefull-final-pruned-fp16.safetensors"
mixed_precision = "fp16"
seed = 1
max_data_loader_n_workers = 1
persistent_data_loader_workers = true
max_token_length = 225
prior_loss_weight = 1.0
clip_skip = 2
xformers = true
cache_latents = true
vae = ""
max_train_epochs = 1

[general_args.dataset_args]
resolution = 512
batch_size = 1

[network_args.args]
network_dim = 32
network_alpha = 16.0
min_timestep = 0
max_timestep = 1000

[optimizer_args.args]
optimizer_type = "AdamW8bit"
lr_scheduler = "cosine"
learning_rate = 0.0001
max_grad_norm = 1.0
lr_scheduler_type = "LoraEasyCustomOptimizer.CustomOptimizers.CosineAnnealingWarmupRestarts"
lr_scheduler_num_cycles = 1
warmup_ratio = 0.05

[saving_args.args]
output_dir = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Lora/fkeytest2"
save_precision = "fp16"
save_model_as = "safetensors"
output_name = "fkeytest2"
save_toml = true
save_toml_location = "E:/Everything artificial intelligence/stable-diffusion-webui/models/Lora/fkey2"

[bucket_args.dataset_args]
enable_bucket = true
min_bucket_reso = 256
max_bucket_reso = 1024
bucket_reso_steps = 64

[network_args.args.network_args]
conv_dim = 32
conv_alpha = 16.0

[optimizer_args.args.lr_scheduler_args]
min_lr = 1e-6
gamma = 0.9

[optimizer_args.args.optimizer_args]
weight_decay = "0.1"
betas = "0.9,0.99"