[model] | |
v2 = false | |
v_parameterization = false | |
pretrained_model_name_or_path = "./sd-models/model.ckpt" | |
[dataset] | |
train_data_dir = "./train/input" | |
reg_data_dir = "" | |
prior_loss_weight = 1 | |
cache_latents = true | |
shuffle_caption = true | |
enable_bucket = true | |
[additional_network] | |
network_dim = 32 | |
network_alpha = 16 | |
network_train_unet_only = false | |
network_train_text_encoder_only = false | |
network_module = "networks.lora" | |
network_args = [] | |
[optimizer] | |
unet_lr = 1e-4 | |
text_encoder_lr = 1e-5 | |
optimizer_type = "AdamW8bit" | |
lr_scheduler = "cosine_with_restarts" | |
lr_warmup_steps = 0 | |
lr_restart_cycles = 1 | |
[training] | |
resolution = "512,512" | |
train_batch_size = 1 | |
max_train_epochs = 10 | |
noise_offset = 0.0 | |
keep_tokens = 0 | |
xformers = true | |
lowram = false | |
clip_skip = 2 | |
mixed_precision = "fp16" | |
save_precision = "fp16" | |
[sample_prompt] | |
sample_sampler = "euler_a" | |
sample_every_n_epochs = 1 | |
[saving] | |
output_name = "output_name" | |
save_every_n_epochs = 1 | |
save_n_epoch_ratio = 0 | |
save_last_n_epochs = 499 | |
save_state = false | |
save_model_as = "safetensors" | |
output_dir = "./output" | |
logging_dir = "./logs" | |
log_prefix = "output_name" | |
[others] | |
min_bucket_reso = 256 | |
max_bucket_reso = 1024 | |
caption_extension = ".txt" | |
max_token_length = 225 | |
seed = 1337 | |