pretrained_model_name_or_path = "D:/stablediffusion/SD-Trainer/sd-models/noobaiXLNAIXL_vPred10Version.safetensors"
vae = "D:\\stablediffusion\\SD-Trainer\\VAE\\sdxl-vae-fp16-fix.safetensors"
train_data_dir = "D:/stablediffusion/SD-Trainer/train/train/画风训练/winter memories/winter memories/winter memories"
reg_data_dir = "D:/stablediffusion/SD-Trainer/train/正则化训练集存放处"
prior_loss_weight = 1
resolution = "1024,1024"
enable_bucket = true
min_bucket_reso = 256
max_bucket_reso = 4096
bucket_reso_steps = 32
bucket_no_upscale = true
output_name = "winter memories v1.0"
output_dir = "./output"
save_model_as = "safetensors"
save_precision = "bf16"
save_every_n_epochs = 1
save_state = true
max_train_epochs = 34
train_batch_size = 2
gradient_checkpointing = true
gradient_accumulation_steps = 8
network_train_unet_only = true
network_train_text_encoder_only = false
learning_rate = 0.0004
unet_lr = 0.0004
text_encoder_lr = 5e-5
lr_scheduler = "cosine"
lr_warmup_steps = 0
optimizer_type = "AdamW"
min_snr_gamma = 5
network_module = "lycoris.kohya"
network_dim = 100000
network_alpha = 1
sample_sampler = "euler"
sample_every_n_epochs = 1
log_with = "tensorboard"
logging_dir = "./logs"
caption_extension = ".txt"
shuffle_caption = true
keep_tokens = 1
max_token_length = 255
seed = 1337
mixed_precision = "bf16"
full_bf16 = true
xformers = true
lowram = false
cache_latents = true
cache_latents_to_disk = true
persistent_data_loader_workers = true
network_args = [ "conv_dim=8", "conv_alpha=1", "dropout=0", "algo=lokr", "factor=8", "train_norm=True", "preset=attn-mlp",]
optimizer_args = [ "weight_decay=0.1", "betas=0.9,0.99",]
v_parameterization = true
zero_terminal_snr = true
multires_noise_iterations = 6
multires_noise_discount = 0.3
sample_prompts = "D:\\stablediffusion\\SD-Trainer\\config\\autosave\\20250128-024014-promopt.txt"